From Device to Data Center to Insights: Architectural Considerations for the ...P. Taylor Goetz
This document summarizes key considerations for architecting Internet of Things (IoT) systems. It outlines three main tiers: origin, transport, and analytics. The origin tier includes sensors, devices, and gateways that generate data. Common protocols for device communication are discussed. The transport tier orchestrates data flow and can transform data. Apache NiFi is presented as a tool for this tier. The analytics tier is where data is analyzed, with streaming and batch processing needs. Future-proofing the architecture for scaling is also covered.
Python for security professionals by katoh jeremiah [py con ng 2018]jerrykatoh
This document outlines a presentation on using Python for security professionals. The presentation covers why Python is useful for security tasks like rapid prototyping and its extensive library support. It then provides an introduction to Python programming basics like strings, numbers, lists, dictionaries and loops. The document also lists several Python tools that are useful for security tasks like networking, web analysis, malware analysis and forensics. It concludes by providing additional learning resources for Python.
Using Familiar BI Tools and Hadoop to Analyze Enterprise NetworksMapR Technologies
This document discusses using Apache Drill and business intelligence (BI) tools to analyze network data stored in Hadoop. It provides examples of querying network packet captures, OpenStack data, and TCP metrics using SQL with tools like Tableau and SAP Lumira. The key benefits are interacting with diverse network data sources like JSON and CSV files without preprocessing, and gaining insights by combining network data with other data sources in the BI tools.
This document provides an overview of the Raspberry Pi single board computer. It discusses what Raspberry Pi is, its specifications, popular models, common applications like programming and electronics projects, and how to set up and use a Raspberry Pi. Examples of Raspberry Pi projects are also presented, including instructions for safely preparing an SD card and performing an initial boot up. Remote access via SSH is also covered.
This document introduces ThingSpeak as an open-source Internet of Things (IoT) platform for storing and retrieving sensor data from devices. It provides features like data storage, visualization, processing and integration with other apps and services. The document summarizes existing ThingSpeak projects, stats on users, and outlines future plans like adding authentication and new app features. It encourages helping to develop things that can push data to ThingSpeak.
This document discusses an introduction to the Raspberry Pi workshop. It describes the first Raspberry Pi model prototypes and versions 1 and 2. It provides information on operating systems for the Raspberry Pi such as NOOBS and Raspbian. It also lists some example projects for the Raspberry Pi, such as using it as a webcam server, photo frame, or Internet radio. Useful links for Raspberry Pi information and projects are included.
1. The document provides details about a student named Sachin Ashok More, including his name, class, and roll number.
2. It then describes the Raspberry Pi computer and its intended use for teaching basic computer science in schools.
3. The document outlines the specifications of different Raspberry Pi models and required accessories for setup.
Cursus: Deel 3 - Raspberry Pi als compact mediacenterIDG Nederland
Vind je het onhandig dat je jouw computer ‘s avonds niet kunt uitschakelen omdat hij nog torrents aan het downloaden is? Met de Raspberry Pi kan je zelf een energiezuinige computer maken die torrents downloadt en die je probleemloos aan laat staan. We hangen er een externe harde schijf aan en installeren Deluge, een opensource bittorrent-pakket. Op een Windows-pc draai je de desktopclient van Deluge, die dan al je bittorrent-taken afhandelt in combinatie met de Deluge-server op je Raspberry Pi. Tot slot zorgen we ervoor dat je Raspberry Pi de gedownloade bestanden op je netwerk deelt, zodat je er eenvoudig toegang tot hebt. Kortom: bouw je eigen torrentbox!
Big Data Analysis and Business IntelligenceDaqing Zhao
- The document discusses big data analytics and business intelligence processes for analyzing large datasets.
- It provides an overview of big data characteristics and challenges, and how cloud computing enables analyzing massive amounts of data.
- Examples of big data analytics applications are described, including customer profiling, predictive modeling, and optimization of online marketing campaigns. Lessons are discussed for effective modeling, including the importance of domain expertise and identifying key data transformations and variables.
Memory forensics using VMI for cloud computingPriyanka Aash
The relocation of systems and services into cloud environments is on the rise. Because of this trend users lose direct control over their machines and depend on the offered services from cloud providers. These services are especially in the field of digital forensics very rudimentary. The possibilities for users to analyze their virtual machines with forensic methods are very limited. In the underlying research of this talk a practical approach has been developed that gives the user additional capabilities in the field of forensic investigations. The solution focuses on a memory forensic service offering. To reach this goal, a management solution for cloud environments has been extended with memory forensic services. Self-developed memory forensic services, which are installed on each cloud node and are managed through the cloud management component, are the basis for this solution. Forensic data is gained via virtual machine introspection techniques. Compared to other approaches it is possible to get trustworthy data without influencing the running system. Additionally, a general overview about the underlying technologies is provided and the pros and cons are discussed. The solution approach is discussed in a generic way and practically implemented in a prototype. In this prototype OpenNebula is used for managing the cloud infrastructure in combination with Xen as virtualization component, LibVMI as Virtual Machine Introspection library and Volatility as forensic tool.
(Source: Black Hat USA 2016, Las Vegas)
This document summarizes the key concepts and benefits of cloud computing. It discusses how cloud computing provides virtualization of computing resources, enabling on-demand provisioning of servers, storage, and networking with minimal upfront costs. This allows for improved resource utilization and the ability to automatically scale infrastructure based on real-time demand. The document outlines technical benefits like automation, auto-scaling, disaster recovery, and improved development workflows. It also provides diagrams illustrating cloud deployment models and virtual networking architectures.
This document discusses Red Hat's cloud platforms, including Infrastructure as a Service (OpenStack), Platform as a Service (OpenShift), and container technologies. It notes that business demands are driving IT transformation toward cloud-based architectures using open source technologies. Red Hat is a top contributor to OpenStack and OpenShift and offers integrated products like Red Hat Atomic Enterprise and OpenShift Enterprise to help customers deploy and manage container-based applications at scale across hybrid cloud environments.
Performance trends and alerts with ThingSpeak IoTAnoush Najarian
We use data analysis and visualization capabilities of ThingSpeak, our favorite Internet of Things platform to capture and analyze performance data, to help with performance monitoring and to generate alerts
6 STEPS TO CREATE A SUCCESSFUL BUSINESS INTELLIGENCE STRATEGYGeorge Beaton
The document outlines a 6-step process for creating a successful business intelligence (BI) strategy:
1. Start with a mandate from senior leadership to provide authority and resources.
2. Understand the existing ("as-is") BI capabilities by interviewing those involved in reporting and documenting current processes, technologies, data sources, and users.
3. Understand the business's goals for BI to define the desired future state ("to-be") and ensure the strategy is aligned with overall business objectives.
4. Prepare for change by communicating the need for the BI strategy and gaining stakeholder buy-in.
5. Evaluate options for technologies, tools, and solutions to meet the defined goals.
6
This document discusses energy efficient and traffic aware virtual machine management in cloud computing. It presents problems with high energy consumption in cloud data centers and proposes dynamic consolidation of virtual machines as a solution. It describes algorithms such as host overload detection, VM selection, and placement that were developed to cluster VMs and allocate them in an energy efficient manner while minimizing SLA violations. Evaluation results show that algorithms developed reduced number of migrated VMs and SLA violations while improving energy efficiency compared to other approaches. The document concludes with potential areas for future work.
Transforming Application Delivery with PaaS and Linux ContainersGiovanni Galloro
This document discusses Red Hat OpenShift Enterprise and how it helps with application delivery using Platform as a Service (PaaS) and Linux containers. It covers OpenShift's architecture using Linux containers, Docker, Kubernetes, and RHEL Atomic Host. It also discusses OpenShift's application deployment flow, adoption trends, and challenges with container adoption as well as Red Hat's strategy to address these challenges through container certification and simplifying adoption for partners.
Cloud Computing Security (Final Year Project) by Pavlos StefanisPavlos Stefanis
Pavlos Stefanis' final year project discusses cloud computing security. It begins with definitions of cloud computing and an overview of cloud types (private, public, hybrid) and service models (IaaS, PaaS, SaaS). The document then reviews the history and literature around cloud security threats and solutions. It analyzes system requirements and management use cases for cloud environments. Pavlos goes on to design and implement security features for the Tonido and ownCloud cloud platforms, testing the Tonido security implementation. The project concludes with reflections on cloud computing security.
Virtualization allows multiple virtual machines to run on a single physical machine. It began in IBM mainframes in 1972 and allowed time-sharing of computing resources. Modern virtualization technologies like VMware and Xen create virtual environments that are essentially identical to the original machine for programs to run in. Virtualization provides benefits like consolidation of servers, high availability, disaster recovery and easier management of computing resources. There are different types of virtualization including server, desktop, application, memory and storage virtualization.
Virtualization allows multiple operating systems and applications to run on a single server at the same time, improving hardware utilization and flexibility. It reduces costs by consolidating servers and enabling more efficient use of resources. Key benefits of VMware virtualization include easier manageability, fault isolation, reduced costs, and the ability to separate applications.
Data mining is an important part of business intelligence and refers to discovering interesting patterns from large amounts of data. It involves applying techniques from multiple disciplines like statistics, machine learning, and information science to large datasets. While organizations collect vast amounts of data, data mining is needed to extract useful knowledge and insights from it. Some common techniques of data mining include classification, clustering, association analysis, and outlier detection. Data mining tools can help organizations apply these techniques to gain intelligence from their data warehouses.
The document is a chapter from a textbook on data mining written by Akannsha A. Totewar, a professor at YCCE in Nagpur, India. It provides an introduction to data mining, including definitions of data mining, the motivation and evolution of the field, common data mining tasks, and major issues in data mining such as methodology, performance, and privacy.
The document provides an introduction to cloud computing, defining key concepts such as cloud, cloud computing, deployment models, and service models. It explains that cloud computing allows users to access applications and store data over the internet rather than locally on a device. The main deployment models are public, private, community, and hybrid clouds, while the main service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides fundamental computing resources, PaaS provides development platforms, and SaaS provides software applications to users. The document discusses advantages such as lower costs and universal access, and disadvantages including internet dependence and potential security issues.
This document presents an introduction to cloud computing. It defines cloud computing as using remote servers and the internet to maintain data and applications. It describes the characteristics of cloud computing including APIs, virtualization, reliability, and security. It discusses the different types of cloud including public, private, community, and hybrid cloud. It also defines the three main cloud stacks: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The benefits of cloud computing are reduced costs, improved accessibility and flexibility. Cloud security and uses of cloud computing are also briefly discussed.
Art is a creative expression that stimulates the senses or imagination according to Felicity Hampel. Picasso believed that every child is an artist but growing up can stop that creativity. Aristotle defined art as anything requiring a maker and not being able to create itself.
The document discusses interoperability on the Internet of Things. It describes a project to break down vertical silos in M2M systems by implementing open standards like HyperCat that make APIs and services machine-discoverable. This allows applications to work across different services without custom integration. The document also outlines ongoing work by 1248 including the Geras IoT data streaming and storage platform that uses the SenML format and supports MQTT, HTTP, and metadata search.
Using Java Script and COMPOSE to build cool IoT applications, SenZations 2015SenZations Summer School
Presentation by Charalampos Doukas: Learn how to use Node.js and JavaScript to program both your IoT hardware and your Cloud application using Open Source tools and the COMPOSE platform. Device sensing and interaction from the Cloud through JavaScript
Big Data Analysis and Business IntelligenceDaqing Zhao
- The document discusses big data analytics and business intelligence processes for analyzing large datasets.
- It provides an overview of big data characteristics and challenges, and how cloud computing enables analyzing massive amounts of data.
- Examples of big data analytics applications are described, including customer profiling, predictive modeling, and optimization of online marketing campaigns. Lessons are discussed for effective modeling, including the importance of domain expertise and identifying key data transformations and variables.
Memory forensics using VMI for cloud computingPriyanka Aash
The relocation of systems and services into cloud environments is on the rise. Because of this trend users lose direct control over their machines and depend on the offered services from cloud providers. These services are especially in the field of digital forensics very rudimentary. The possibilities for users to analyze their virtual machines with forensic methods are very limited. In the underlying research of this talk a practical approach has been developed that gives the user additional capabilities in the field of forensic investigations. The solution focuses on a memory forensic service offering. To reach this goal, a management solution for cloud environments has been extended with memory forensic services. Self-developed memory forensic services, which are installed on each cloud node and are managed through the cloud management component, are the basis for this solution. Forensic data is gained via virtual machine introspection techniques. Compared to other approaches it is possible to get trustworthy data without influencing the running system. Additionally, a general overview about the underlying technologies is provided and the pros and cons are discussed. The solution approach is discussed in a generic way and practically implemented in a prototype. In this prototype OpenNebula is used for managing the cloud infrastructure in combination with Xen as virtualization component, LibVMI as Virtual Machine Introspection library and Volatility as forensic tool.
(Source: Black Hat USA 2016, Las Vegas)
This document summarizes the key concepts and benefits of cloud computing. It discusses how cloud computing provides virtualization of computing resources, enabling on-demand provisioning of servers, storage, and networking with minimal upfront costs. This allows for improved resource utilization and the ability to automatically scale infrastructure based on real-time demand. The document outlines technical benefits like automation, auto-scaling, disaster recovery, and improved development workflows. It also provides diagrams illustrating cloud deployment models and virtual networking architectures.
This document discusses Red Hat's cloud platforms, including Infrastructure as a Service (OpenStack), Platform as a Service (OpenShift), and container technologies. It notes that business demands are driving IT transformation toward cloud-based architectures using open source technologies. Red Hat is a top contributor to OpenStack and OpenShift and offers integrated products like Red Hat Atomic Enterprise and OpenShift Enterprise to help customers deploy and manage container-based applications at scale across hybrid cloud environments.
Performance trends and alerts with ThingSpeak IoTAnoush Najarian
We use data analysis and visualization capabilities of ThingSpeak, our favorite Internet of Things platform to capture and analyze performance data, to help with performance monitoring and to generate alerts
6 STEPS TO CREATE A SUCCESSFUL BUSINESS INTELLIGENCE STRATEGYGeorge Beaton
The document outlines a 6-step process for creating a successful business intelligence (BI) strategy:
1. Start with a mandate from senior leadership to provide authority and resources.
2. Understand the existing ("as-is") BI capabilities by interviewing those involved in reporting and documenting current processes, technologies, data sources, and users.
3. Understand the business's goals for BI to define the desired future state ("to-be") and ensure the strategy is aligned with overall business objectives.
4. Prepare for change by communicating the need for the BI strategy and gaining stakeholder buy-in.
5. Evaluate options for technologies, tools, and solutions to meet the defined goals.
6
This document discusses energy efficient and traffic aware virtual machine management in cloud computing. It presents problems with high energy consumption in cloud data centers and proposes dynamic consolidation of virtual machines as a solution. It describes algorithms such as host overload detection, VM selection, and placement that were developed to cluster VMs and allocate them in an energy efficient manner while minimizing SLA violations. Evaluation results show that algorithms developed reduced number of migrated VMs and SLA violations while improving energy efficiency compared to other approaches. The document concludes with potential areas for future work.
Transforming Application Delivery with PaaS and Linux ContainersGiovanni Galloro
This document discusses Red Hat OpenShift Enterprise and how it helps with application delivery using Platform as a Service (PaaS) and Linux containers. It covers OpenShift's architecture using Linux containers, Docker, Kubernetes, and RHEL Atomic Host. It also discusses OpenShift's application deployment flow, adoption trends, and challenges with container adoption as well as Red Hat's strategy to address these challenges through container certification and simplifying adoption for partners.
Cloud Computing Security (Final Year Project) by Pavlos StefanisPavlos Stefanis
Pavlos Stefanis' final year project discusses cloud computing security. It begins with definitions of cloud computing and an overview of cloud types (private, public, hybrid) and service models (IaaS, PaaS, SaaS). The document then reviews the history and literature around cloud security threats and solutions. It analyzes system requirements and management use cases for cloud environments. Pavlos goes on to design and implement security features for the Tonido and ownCloud cloud platforms, testing the Tonido security implementation. The project concludes with reflections on cloud computing security.
Virtualization allows multiple virtual machines to run on a single physical machine. It began in IBM mainframes in 1972 and allowed time-sharing of computing resources. Modern virtualization technologies like VMware and Xen create virtual environments that are essentially identical to the original machine for programs to run in. Virtualization provides benefits like consolidation of servers, high availability, disaster recovery and easier management of computing resources. There are different types of virtualization including server, desktop, application, memory and storage virtualization.
Virtualization allows multiple operating systems and applications to run on a single server at the same time, improving hardware utilization and flexibility. It reduces costs by consolidating servers and enabling more efficient use of resources. Key benefits of VMware virtualization include easier manageability, fault isolation, reduced costs, and the ability to separate applications.
Data mining is an important part of business intelligence and refers to discovering interesting patterns from large amounts of data. It involves applying techniques from multiple disciplines like statistics, machine learning, and information science to large datasets. While organizations collect vast amounts of data, data mining is needed to extract useful knowledge and insights from it. Some common techniques of data mining include classification, clustering, association analysis, and outlier detection. Data mining tools can help organizations apply these techniques to gain intelligence from their data warehouses.
The document is a chapter from a textbook on data mining written by Akannsha A. Totewar, a professor at YCCE in Nagpur, India. It provides an introduction to data mining, including definitions of data mining, the motivation and evolution of the field, common data mining tasks, and major issues in data mining such as methodology, performance, and privacy.
The document provides an introduction to cloud computing, defining key concepts such as cloud, cloud computing, deployment models, and service models. It explains that cloud computing allows users to access applications and store data over the internet rather than locally on a device. The main deployment models are public, private, community, and hybrid clouds, while the main service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides fundamental computing resources, PaaS provides development platforms, and SaaS provides software applications to users. The document discusses advantages such as lower costs and universal access, and disadvantages including internet dependence and potential security issues.
This document presents an introduction to cloud computing. It defines cloud computing as using remote servers and the internet to maintain data and applications. It describes the characteristics of cloud computing including APIs, virtualization, reliability, and security. It discusses the different types of cloud including public, private, community, and hybrid cloud. It also defines the three main cloud stacks: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The benefits of cloud computing are reduced costs, improved accessibility and flexibility. Cloud security and uses of cloud computing are also briefly discussed.
Art is a creative expression that stimulates the senses or imagination according to Felicity Hampel. Picasso believed that every child is an artist but growing up can stop that creativity. Aristotle defined art as anything requiring a maker and not being able to create itself.
The document discusses interoperability on the Internet of Things. It describes a project to break down vertical silos in M2M systems by implementing open standards like HyperCat that make APIs and services machine-discoverable. This allows applications to work across different services without custom integration. The document also outlines ongoing work by 1248 including the Geras IoT data streaming and storage platform that uses the SenML format and supports MQTT, HTTP, and metadata search.
Using Java Script and COMPOSE to build cool IoT applications, SenZations 2015SenZations Summer School
Presentation by Charalampos Doukas: Learn how to use Node.js and JavaScript to program both your IoT hardware and your Cloud application using Open Source tools and the COMPOSE platform. Device sensing and interaction from the Cloud through JavaScript
Ben Kehoe - Serverless Architecture for the Internet of ThingsServerlessConf
Presented at ServerlessConf NYC 2016.
iRobot is transitioning the cloud infrastructure for our IoT system to AWS with the goal of using zero EC2 instances. I'll cover our general architecture (AWS IoT, API Gateway, Lambda, etc.), our CloudFormation+Lambda deployment strategy, and the hardest patterns to make serverless on AWS.
"In love with Open Source : Past, Present and Future" : Keynote OSDConf 2014Piyush Kumar
OPEN SOURCE DEVELOPERS CONFERENCE http://osdconf.in/
★ April 26-27th, Noida ★
Keynote Session By Piyush Kumar (Lead of Infrastructure and Website Operations at MakeMyTrip)
10 Big Data Technologies you Didn't Know About Jesus Rodriguez
This document introduces several big data technologies that are less well known than traditional solutions like Hadoop and Spark. It discusses Apache Flink for stream processing, Apache Samza for processing real-time data from Kafka, Google Cloud Dataflow which provides a managed service for batch and stream data processing, and StreamSets Data Collector for collecting and processing data in real-time. It also covers machine learning technologies like TensorFlow for building dataflow graphs, and cognitive computing services from Microsoft. The document aims to think beyond traditional stacks and learn from companies building pipelines at scale.
This document discusses key architectural considerations for Internet of Things (IoT) systems. It outlines three main tiers: origin, transport, and analytics. The origin tier includes sensors, devices, and gateways that generate IoT data. Common protocols at this tier are discussed. The transport tier orchestrates data flow and can perform transformations. Apache NiFi and minifi are presented as options. The analytics tier is where insights are derived from the data through streaming and batch processing. Apache Beam is highlighted as a framework that can unify both types of processing. The document also discusses firmware versions, parsers, schemas, and data ownership challenges.
Building the Internet of Things with Thingsquare and Contiki - day 1, part 1Adam Dunkels
How to build the Internet of Things - what is an Internet of things device and how do we connect it? This is the first Thingsquare IoT workshop slide deck.
Building Modern Digital Services on Scalable Private Government Infrastructur...Andrés Colón Pérez
These are a series of presentations and knowledge collected from the web to help knowledge sharing at the government of Puerto Rico, created with the hope of helping transform government culture by engaging key personnel in diverse areas of central government IT. We discussed design and development methodologies as well as implementation, network and server technologies that led to the successful launch of the most popular online service in PR.gov, in the hope that the knowledge is retained and used to prevent problems that have plagued digital services of the past.
How did Puerto Rico build the New Good standing Certificate Online Service? How did it scale to handle millions of visitors while having 0 licensing costs? This is the technical overview of the design, philosophy and implementation.
- Good standing certificate knowledge transfer presentation by Andrés Colón
Note on attribution: some content such as logos and designs were used from the web. Rights remain with their original authors. Thanks for sharing with the world.
Cloud Services Powered by IBM SoftLayer and NetflixOSSaspyker
This presentation covers our work starting with Acme Air web scale and transitioning to operational lessons learned in HA, automatic recovery, continuous delivery, and operational visibility. It shows the port of the Netflix OSS cloud platform to IBM's cloud - SoftLayer and use of RightScale.
The document discusses the Arabidopsis Information Portal (AIP), a new open resource for sharing and analyzing Arabidopsis data. The AIP aims to develop a community-driven web portal with analysis tools and user data spaces. It will integrate diverse datasets through federation and maintain the Col-0 genome annotation. The AIP architecture uses InterMine, JBrowse and other tools, and provides APIs and an app store for developing interactive analysis applications. A developer workshop is scheduled for November 2014 to involve the community.
How to scale your PaaS with OVH infrastructure?OVHcloud
ForePaaS provides a platform for data infrastructure automation that allows customers to collect, store, transform and analyze data across multiple cloud providers or on-premise in a unified manner. Key features of the ForePaaS platform include being end-to-end, multi-cloud, providing a marketplace for sharing elements of work, and offering automated infrastructure that scales based on customer needs. ForePaaS has partnered with OVH to leverage their public cloud, private cloud, and bare metal server offerings to power ForePaaS infrastructure globally.
Scalable Open-Source IoT Solutions on Microsoft AzureMaxim Ivannikov
The document discusses open source Internet of Things (IoT) solutions using Ubuntu Snappy Core and DeviceHive on Microsoft Azure. It describes:
1) The core components used - Ubuntu Snappy Core and DeviceHive IoT Toolkit on gateways, and DeviceHive, Apache Spark, and Cassandra on Azure cloud infrastructure.
2) A predictive maintenance demo that collects sensor data from a SensorTag Bluetooth Low Energy device using the IoT Toolkit, sends it to DeviceHive cloud, and performs analytics on it using Spark and Zeppelin.
3) The IoT data pipeline architecture involving devices, gateways, messaging with Kafka, and stream/batch processing with Spark on Azure infrastructure
This document discusses the role of cloud and analytics in IoT. It begins by explaining how IoT connects billions of devices via networks to deliver connected industry solutions. The key value is the data these devices collect. The document then covers several topics:
- IoT technology enablers like cloud computing, protocols, sensors, and gateways
- How sensor data is collected, processed at the edge and in the cloud, analyzed, and used in applications
- Popular IoT and cloud platforms that provide services for device management, data ingestion, storage, processing and analytics
- Security considerations and methods for IoT like authentication, authorization and encryption
- Programming tools and frameworks for developing applications and connecting
Using Familiar BI Tools and Hadoop to Analyze Enterprise NetworksDataWorks Summit
This document discusses using Apache Drill and business intelligence (BI) tools to analyze network data stored in Hadoop. It provides examples of querying network packet captures and APIs directly using SQL without needing to transform or structure the data first. This allows gaining insights into issues like dropped sensor readings by analyzing packets alongside other data sources. The document concludes that SQL-on-Hadoop technologies allow network analysis to be done in a BI context more quickly than traditional specialized tools.
ClickHouse Paris Meetup. Pragma Analytics Software Suite w/ClickHouse, by Mat...Altinity Ltd
Pragma Innovation is an IT services company focused on time series data solutions. Their PASS (Pragma Analytics Software Suite) allows companies to analyze, report on, and make decisions from time series network data using open source software. It is designed for ISPs, hosting providers, and telecom companies. The solution ingests network and log data, standardizes it, enriches it using tools like GeoIP, and stores it in a time series database. This allows customers to build applications for traffic engineering, security, and business intelligence use cases. Key challenges addressed in version 2.0 of the solution include data sampling, IPv4/IPv6 support, and using ClickHouse as the time series database for its performance and simplicity
DNUG46 - Build your own private Cloud environmentpanagenda
Visit Nicos presentation to learn how you can build your own private on-premises cloud. The aim of this session is to give you an overview of how to build a private cloud environment, taking into account necessary requirements based on Kubernetes.
Nico will talk to you about cluster provisioning itself and the Toolchain you need to run your environment successfully. In the foreground are topics like infrastructure as code, CI/CD, storage, monitoring, high availability and security. Gain the knowledge and best practices you need to build your own private cloud environment.
Follow Nico on: https://pan.news/NicoMeisenzahlSlideShare
Besuchen Sie Nicos Vortrag um zu erfahren wie Sie Ihre eigene Private Cloud on-premises aufbauen können. Ziel dieser Session ist es, dass Sie einen Überblick erhalten, wie man eine Private Cloud Umgebung auf Basis von Kubernetes, unter Berücksichtigung notwendiger Anforderungen, aufbaut.
Nico wird mit Ihnen über das Cluster Provisioning selbst sowie die benötigte Toolchain sprechen, die Sie benötigen um die eigene Umgebung erfolgreich zu betreiben. Im Vordergrund stehen dabei Themen wie Infrastructure as Code, CI/CD, Storage, Monitoring, Hochverfügbarkeit und Sicherheit. Erhalten Sie das notwendige Wissen sowie Best Practices, die Ihnen beim Aufbau Ihrer eigenen Private Cloud-Umgebung helfen.
Bol.com Tech lab September 2017 - Microservices in action at the Dutch Nation...Bert Jan Schrijver
3 DevOps teams are building high tech big data web applications in a private cloud environment to support police work. These teams use microservices architectures, with separate front-end and back-end components developed independently but integrated via service discovery. Testing includes unit, integration, and load testing across feature branches in a continuous integration environment before production deployment. Future work includes improving zero downtime deployments, modularizing the front-end, and automating security testing.
Unified Device Management via Java-enabled Network DevicesTal Lavian Ph.D.
Java-enabled Network Devices
“Feature-on-demand” for devices
New class of system level Optivity applications in the form of distributed “Optlets”
characterized by system applications that require intensive interaction between NMS and device and/or across multiple devices
potential applications are topology, design analysis, diagnostics, policy implementations
Benefits and value:
Enabling component of a new intelligent network architecture
distributed applications-on-demand
component of AI (artificial intelligence) enabling infrastructure
roaming diagnostics and self-healing capabilities
built-in support for open industry ISV support
The document describes AGILE, a project that aims to create an open IoT platform and ecosystem. The project will develop modular gateway software and hardware to connect diverse devices and manage data. It will also create graphical tools for developing IoT apps and a marketplace to share them. The project has 17 partners and received EU funding. It will involve industry, startups, and end users through pilots, open calls, and a crowdfunding campaign. The goal is to support an open IoT community through the Eclipse foundation and involve developers directly to help the platform and apps ecosystem grow in a sustainable way.
Fostering Connectivity & Interactivity Between all Urban EntitiesCharalampos Doukas
Talk about connectivity & interactivity in the context of IoT and citizen participation. Presented at RE.WORK - Future Cities Summit, London, December 2014
The document discusses open source IoT building blocks for startups including ServIoTicy Datastore, an open source IoT data cloud platform that allows storing and querying sensor data and defining actions. It also discusses App Hosting using Node-RED for creating IoT workflows and GlueThings, and Discovery by integrating the iServe registry to discover APIs and services. Security is addressed through data provenance logging and authentication.
A Full End-to-End Platform as a Service for SmartCity ApplicationsCharalampos Doukas
Presentation at the 10th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications - WiMob2014, about using COMPOSE project components for building Smart City application
The document discusses best practices for involving IoT communities in European IoT projects. It defines IoT communities as individuals who share interests in connected technologies and tools for building connected products. While industry and research are important, IoT communities have been driving innovation through many grassroots DIY projects. However, EU projects often fail to engage these communities. The document suggests identifying local IoT meetups and attending maker events to involve communities from the start of projects. Communities should be engaged in defining use cases, requirements and evaluations. Projects should make data and code open to facilitate collaboration on shared challenges.
Building an IoT Marketplace for Makers & EntrepreneursCharalampos Doukas
This presentation was given at the BDigitla IoT Forum in Barcelona on December 12th, 2013. It presents the EU project COMPOSE (http://www.compose-project.eu/) and the concept of a PaaS and marketplace for IoT apps and services.
This document describes one person's experience with self-quantification and activity tracking. It details their initial interest in tracking for curiosity about gadgets and data, rather than goal achievement. Over time using a pedometer, they noticed a small increase in activity levels. However, they began to question whether just reaching goals was enough. This led them to explore using Internet of Things devices to connect different self-tracking services and motivate behavior change through feedback, like turning off the fridge if daily activity goals were not met. They saw a modest increase in tracking and are considering how else IoT could support better motivation through quantification self.
Presentation given on the IoT Day (April 9th) at IoTItaly in Trento, Italy about IoT basics, projects, current trends and what the future shall look like
Enabling Data Protection through PKI encryption in IoT m-Health DevicesCharalampos Doukas
Short presentation about a gateway-based solution for medical data encryption and the Internet of Things. Paper presented at 12th IEEE International Conference on BioInformatics and BioEngineering
The document discusses hardware challenges for Internet of Things (IoT) applications. Some key challenges discussed include choosing the right communication protocol (WiFi vs RF), power consumption, security, and resources like CPU and memory. While WiFi provides direct internet connectivity, RF technologies have advantages in terms of range, price, and power efficiency. The choice depends on the specific use case. IoT gateways can help address challenges by providing connectivity between different protocols and enhancing security. Standardization may help but there is no single solution - approaches need to be use case specific. The document promotes the Flyport prototyping platform as a solution and offers a demonstration of its capabilities.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
📕 Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
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Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxAnoop Ashok
In today's fast-paced retail environment, efficiency is key. Every minute counts, and every penny matters. One tool that can significantly boost your store's efficiency is a well-executed planogram. These visual merchandising blueprints not only enhance store layouts but also save time and money in the process.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...Noah Loul
Artificial intelligence is changing how businesses operate. Companies are using AI agents to automate tasks, reduce time spent on repetitive work, and focus more on high-value activities. Noah Loul, an AI strategist and entrepreneur, has helped dozens of companies streamline their operations using smart automation. He believes AI agents aren't just tools—they're workers that take on repeatable tasks so your human team can focus on what matters. If you want to reduce time waste and increase output, AI agents are the next move.
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
Mobile App Development Company in Saudi ArabiaSteve Jonas
EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
Linux Support for SMARC: How Toradex Empowers Embedded DevelopersToradex
Toradex brings robust Linux support to SMARC (Smart Mobility Architecture), ensuring high performance and long-term reliability for embedded applications. Here’s how:
• Optimized Torizon OS & Yocto Support – Toradex provides Torizon OS, a Debian-based easy-to-use platform, and Yocto BSPs for customized Linux images on SMARC modules.
• Seamless Integration with i.MX 8M Plus and i.MX 95 – Toradex SMARC solutions leverage NXP’s i.MX 8 M Plus and i.MX 95 SoCs, delivering power efficiency and AI-ready performance.
• Secure and Reliable – With Secure Boot, over-the-air (OTA) updates, and LTS kernel support, Toradex ensures industrial-grade security and longevity.
• Containerized Workflows for AI & IoT – Support for Docker, ROS, and real-time Linux enables scalable AI, ML, and IoT applications.
• Strong Ecosystem & Developer Support – Toradex offers comprehensive documentation, developer tools, and dedicated support, accelerating time-to-market.
With Toradex’s Linux support for SMARC, developers get a scalable, secure, and high-performance solution for industrial, medical, and AI-driven applications.
Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market
For more information: https://www.toradex.com/computer-on-modules/smarc-arm-family
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs
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-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
AI and Data Privacy in 2025: Global TrendsInData Labs
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This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
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QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
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- Please contact Arthur Morgan at [email protected].
100% human made.
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
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2. Overview
• Cloud Computing – Some basic concepts
you should know
• Free / Open Platforms
• Open Hardware
• Communication Protocols M2M – M2Web
• Examples
9. Cloud Computing – The Basics
• Open Hardware communication
• What for?
– Applications (need Web interfaces)
– DB Communication - Data management
– Interfaces (REST APIs, …)
10. Cloud Computing – The Basics
• Open Hardware communication – An
example:
– I have an innovative idea for an application
– Devices– Sensors can become “friends” and
exchange data
– Based on common features – form groups
11. Cloud Computing – The Basics
• Open Hardware communication – An
example:
• Pro – Cloud era:
– Internet connection
– Server (CPU, RAM, HDD, Ethernet..)
12. Cloud Computing – The Basics
• Open Hardware communication – An
example:
• Pro – Cloud era:
– Apache (Web Interface)
– MySQL, NoSQL, ….
– Application server
13. Cloud Computing – The Basics
• Open Hardware communication – An
example:
• Pro – Cloud era:
– Backup
– UPS
– 2+… Servers (Failure node, Test node)
14. Cloud Computing – The Basics
• Open Hardware communication – An
example:
• Pro – Cloud era:
– One instance: 100-1000 sensors (?)
– Scalability?
– $$$$$$
15. Cloud Computing – The Basics
• Open Hardware communication – An
example:
• Cloud era:
– PaaS / IaaS Provider
– Focus on the Application / Data collection
– $$ .... ->$$$$$
23. Platforms for managing sensor
data
My Android client:
http://tinyurl.com/PachubeViewer
Free
24. Platforms for managing sensor
data
• ThingSpeak
Open
https://www.thingspeak.com
https://github.com/iobridge/Thi
ngSpeak
25. Platforms for managing sensor
data
• ThingSpeak
– Open Source API
– Real-time data collection
– Data processing Open
– Data visualizations
– Location-awareness
– Status context
– Application infrastructure
– Twitter proxy
– Apps, Plugins
26. Platforms for managing sensor
data
• Sen.Se
Free
http://open.sen.se/
27. Platforms for managing sensor
data
• Sen.Se
• Specs:
– REST API
Free
– Visualization
http://open.sen.se/
– Triggers
29. Platforms for managing sensor
data
• EVRYTHNG
• Specs:
– REST API
Free
– Visualization
http://evrythng.net/
– Triggers
30. Platforms for managing sensor
data
• Nimbits Public Cloud Server nimbits.co
m
• Specs:
Open
– REST API
– Visualization
http://nimbits.com
– Triggers / Alarms
31. Platforms for managing sensor
data
• Nimbits Public Cloud Server nimbits.co
m
• Specs:
Open
– Social Networks
– M2M Επικοινωνία
http://nimbits.com
– Google App Engine
32. Platforms for managing sensor
data
• Nimbits Public Cloud Server nimbits.co
m
• Specs:
Open
– Intelligence!
• WolframAlpha
http://nimbits.com
33. Platforms for managing sensor
data
• Nimbits Public Cloud Server nimbits.co
m
• Specs:
Open
http://nimbits.com
35. Open Hardware
• What is Open Hardware?
– Free – Open Source Software (not free
hardware!)
– Open schematics – build instructions
– Mostly found as :
• Microcontrollers
• Linux boards
36. Open Hardware
• Arduino
– No special introduction needed!
– Microcontroller platforms
– Great community support
– A lot of apps + extensions
37. Open Hardware
• Arduino – Communication
– Ethernet
– WiFi
– GPRS
– Through Android - Computer
47. Communication Protocols
– WebSockets
• API for Browsers (JavaScript)
• Libraries for Java, PHP, Ruby …
48. Communication Protocols
– WebSockets
– Arduino library exists already!
– Services that use WebSockets
• Pusher
• http://websocket.org/echo.html
49. Communication Protocols
– Constrained Application Protocol (CoAP)
– Based on HTTP principles
• RESTful communication
• BUT: UDP protocol
– Supports multicast
(-) Needs special ports open (5683 not 80/8080)
Still Draft protocol
50. Communication Protocols
– Message Queue Telemetry Transport (MQTT)
– Machine 2 Machine
– Publish / Subscribe Model
– Already used by applications
• Facebook messenger (iPhone/Android)
– Open protocol
– You need special software server
– There is an Arduino library available!
51. Examples
• Anything that can be connected to the
Arduino
– Sensors
– Control (relay) switches
• Cloud ->
– Manage / Visualize data
– Remote Control
52. Examples
• Ideas for some Projects …
– Read barcodes + Send information on the
Cloud (Cloud-based shopping list)
– Control power consumption
(openenergymonitor.org)
– Web home automation (smart home)