Using the awesome power of Spring Boot with Spring Data Geode to build highly-scalable, distributed Spring/Java applications using Apache Geode or Pivotal GemFire.
This document provides an agenda for a hands-on introduction and hackathon kickoff for Apache Geode. The agenda includes details about the hackathon, an introduction to Apache Geode including its history, key features, and roadmap. It also covers hands-on labs for building, running, and clustering Geode as well as creating a first application. The document concludes with information on how to contribute to the Geode project.
Spring Data and In-Memory Data Management in ActionJohn Blum
This document provides an overview and agenda for a presentation on Spring Data and in-memory data management using Apache Geode. The presentation will cover Apache Geode functionality, integrating Geode with Spring frameworks, and examples of caching, events, data access and improvements in Geode and related projects. It lists caching, scalability, availability and other capabilities of Geode. The roadmap discusses upcoming versions of Spring Data GemFire and Geode as well as integration with Spring Boot, Session and other projects.
SpringCamp 2016 - Apache Geode 와 Spring Data GemfireJay Lee
The document discusses Apache Geode and Spring integration. It provides an overview of Apache Geode, an open source distributed in-memory database. It then covers Spring Data Gemfire, which allows using Geode with Spring's programming model. It also discusses using Spring Session to manage user sessions in a stateless manner by storing them in Geode. The presentation includes demos of integrating Geode with Spring applications.
Apache Geode: an efficient alternative to Kafka-Storm-Spark for Data AnalyticVMware Tanzu
SpringOne Platform 2017
Paul Perez, Pymma
Further to our customers request, we had to implement a fine monitoring system for the OpenESB business process engine. The largest OpenESB configurations on production runs concurrently dozens of engine instances, that daily, generate up to 10 billion of events. These events must be aggregated and analysed to generate data for monitoring.
A classical solution would be to store the events first and then process them in a batch mode. Simply, it would require too much storage and CPU capacities to process this number of events and a too long delay to provide monitoring information on time.
So, our architect decided to process the message coming from our engines as a stream of events. This processing involves three types of application.The buffer: It is used to store the events coming from the event providers (here OpenESB). The buffer must have a very low latency to capture a huge number of events without slowing down the event producer. At the same time, the buffer must capture data from multiple producer concurrently. This involves a powerful support of distributed and concurrent processes. Apache Kafka, Cassandra are some good examples of buffer.
The engine: the engine implements a kind of step by step process with intermediate states. Each step executes a part of the event aggregation and analysis process, and generate intermediate state useful for the next steps. For obvious efficiency reasons, the intermediate states must not be stored outside the engine. One of the engine key feature is to process concurrently numerous events on many machines. Apache Spark and especially Apache Storm are typical examples of this type of software.
The persistence system: when the event aggregation or analysis process is complete, the process results are sent to a persistence system which implements a query language to provide an easy access to the results. MongoDB, Crate, PostgreSQL, Greenplum can be used as a persistence system.Soevent aggregation or analysis process requires knowledge and installation of three or more different software. And this said, companies are reluctant to dedicate such budget and time to deploy an event aggregation or analysis process chain.In our presentation, we demonstrate how, at our profit, GemFire or Geode can act as a buffer, an engine and a persistence system and avoid the multiplication of software and deployment. We explain how the asynchronous Event Queue and Event Handler work together to act as an engine which support step by step aggregation and analysis process, and take advantage of the distributed cache to work as a buffer and a result store. We also detail how GemFire partitioned region internal design, provides a great scalability and provides very good results for events aggregation and data analysis.We hope that thanks to this presentation, the delegate will get a different point of view on GemFire or Geode and would like to use it as an event processing system.
Hadoop {Submarine} Project: Running Deep Learning Workloads on YARNDataWorks Summit
Deep learning is useful for enterprises tasks in the field of speech recognition, image classification, AI chatbots and machine translation, just to name a few.
In order to train deep learning/machine learning models, applications such as TensorFlow / MXNet / Caffe / XGBoost can be leveraged. And sometimes these applications will be used together to solve different problems.
To make distributed deep learning/machine learning applications easily launched, managed, monitored. Hadoop community has introduced Submarine project along with other improvements such as first-class GPU support, container-DNS support, scheduling improvements, etc. These improvements make distributed deep learning/machine learning applications run on YARN as simple as running it locally, which can let machine-learning engineers focus on algorithms instead of worrying about underlying infrastructure. Also, YARN can better manage a shared cluster which runs deep learning/machine learning and other services/ETL jobs with these improvements.
In this session, we will take a closer look at Submarine project as well as other improvements and show how to run these deep learning workloads on YARN with demos. Audiences can start trying running these workloads on YARN after this talk.
Speakers:
Sunil Govindan, Staff Engineer
Hortonworks
Zhankun Tank, Staff Engineer
Hortonworks
In this webinar, we will discuss different open-source models and different ways open source communities are organized. Understanding these key concepts is essential when selecting a strategic open-source platform. We will explore how the PostgreSQL community ensures that it stays independent, remains vibrant, drives innovation, and provides a reliable long-term platform for strategic IT projects.
YARN is a resource manager for Hadoop that allows for more efficient resource utilization and supports non-MapReduce applications. It separates resource management from job scheduling and execution. Key components include the ResourceManager, NodeManagers, and Containers. Ambari can be used to monitor YARN components and applications, configure queues and capacity scheduling, and view metrics and alerts. Future work includes supporting more applications and improving Capacity Scheduler configuration and health checks.
The engineering teams within Splunk have been using several technologies Kinesis, SQS, RabbitMQ and Apache Kafka for enterprise wide messaging for the past few years but have recently made the decision to pivot toward Apache Pulsar, migrating both existing use cases and embedding it into new cloud-native service offerings such as the Splunk Data Stream Processor (DSP).
The document provides an overview of the state of Apache Hadoop YARN. Key themes discussed include scaling to support very large clusters of 100,000+ nodes, improved global and fast scheduling capabilities, richer placement constraints, and enhanced support for containers, resources like GPUs and FPGAs, and services. The YARN community continues to grow with over 450 contributors.
Apache Accumulo is a distributed key-value store developed by the National Security Agency. It is based on Google's BigTable and stores data in tables containing sorted key-value pairs. Accumulo uses a master/tablet server architecture and stores data in HDFS files. Data can be queried using scanners or loaded using MapReduce. Accumulo works well with the Hadoop ecosystem and its installation is simplified using complete Hadoop distributions like Cloudera.
Apache Ambari BOF Meet Up @ Hadoop Summit 2013
APIs and SPIs – How to Integrate with Ambari
http://www.meetup.com/Apache-Ambari-User-Group/events/119184782/
Simplifying Apache Geode with Spring DataVMware Tanzu
SpringOne Platform 2017
John Blum, Pivotal
Building effective Apache Geode applications quickly and easily requires a framework that provides the right level of abstraction. In this session we take Alan Kay's infamous quote "Simple things should be simple; Complex things should be possible" to a whole new level with Spring Data Geode using Spring Boot. I'll show you how the new Annotation-based configuration model, which builds on existing concepts like SD Repositories, Spring's Cache Abstraction and Apache Geode CQ, helps you rapidly build working Apache Geode client/server applications in minutes. We end the session with a quick look at the roadmap and what users can expect next. You won't want to miss this.
Double Your Hadoop Hardware Performance with SmartSenseHortonworks
Hortonworks SmartSense provides proactive recommendations that improve cluster performance, security and operations. And since 30% of issues are configuration related, Hortonworks SmartSense makes an immediate impact on Hadoop system performance and availability, in some cases boosting hardware performance by two times. Learn how SmartSense can help you increase the efficiency of your Hadoop hardware, through customized cluster recommendations.
View the on-demand webinar: https://hortonworks.com/webinar/boosts-hadoop-hardware-performance-2x-smartsense/
This document discusses Apache Ambari and provides the following information:
1) It provides a background on Apache Ambari, describing it as an open source management platform for provisioning, managing, monitoring and securing Apache Hadoop clusters.
2) It discusses recent Ambari releases including versions 2.2.0, 2.2.2 and 2.4.0 GA.
3) It describes features of Ambari including alerts and metrics, blueprints, security setup using Kerberos and RBAC, log search, automated cluster upgrades and extensibility options.
Hortonworks technical workshop operations with ambariHortonworks
Ambari continues on its journey of provisioning, monitoring and managing enterprise Hadoop deployments. With 2.0, Apache Ambari brings a host of new capabilities including updated metric collections; Kerberos setup automation and developer views for Big Data developers. In this Hortonworks Technical Workshop session we will provide an in-depth look into Apache Ambari 2.0 and showcase security setup automation using Ambari 2.0. View the recording at https://www.brighttalk.com/webcast/9573/155575. View the github demo work at https://github.com/abajwa-hw/ambari-workshops/blob/master/blueprints-demo-security.md. Recorded May 28, 2015.
Over the last few years, the Apache Hive community has been working on advancements to enable a full new range of use cases for the project, moving from its batch processing roots towards a SQL interactive query answering platform. Traditionally, one of the most powerful techniques used to accelerate query processing in data warehouses is the pre-computation of relevant summaries or materialized views.
This talk presents our work on introducing materialized views and automatic query rewriting based on those materializations in Apache Hive. In particular, materialized views can be stored natively in Hive or in other systems such as Druid using custom storage handlers, and they can seamlessly exploit new exciting Hive features such as LLAP acceleration. Then the optimizer relies in Apache Calcite to automatically produce full and partial rewritings for a large set of query expressions comprising projections, filters, join, and aggregation operations. We shall describe the current coverage of the rewriting algorithm, how Hive controls important aspects of the life cycle of the materialized views such as the freshness of their data, and outline interesting directions for future improvements.
JESUS CAMACHO RODRIGUEZ, Member of Technical Staff, Hortonworks
Splunk Ninjas: New Features, Pivot and Search DojoSplunk
Besides seeing the newest features in Splunk Enterprise and learning the best practices for data models and pivot, we will show you how to use a handful of search commands that will solve most search needs. Learn these well and become a ninja.
Triple-E’class Continuous Delivery with Hudson, Maven, Kokki and PyDevWerner Keil
At Maersk Line, not only the world's biggest ships 'Triple-E' class vessels are currently being built. Continuous Integration and Delivery on a similar scale using Hudson, Maven and tools like Kokki similar to Puppet or Chef are also practiced there.
This session is going to give a brief overview of Multi-Configuration (Matrix) job types used in most of these projects. Things are being built and deployed in a heterogenous environment, otherwise probably found only at large vendors of Public Cloud services.
Hadoop & DevOps : better together by Maxime Lanciaux.
From deployment automation with tools (like jenkins, git, maven, ambari, ansible) to full automation with monitoring on HDP2.5+.
Apache Hadoop YARN is the resource and application manager for Apache Hadoop. In the past, YARN only supported launching containers as processes. However, as containerization has become extremely popular, more and more users wanted support for launching Docker containers. With recent changes to YARN, it now supports running Docker containers alongside process containers. Couple this with the newly added support for running services on YARN and it allows a host of new possibilities. In this talk, we'll present how to run a potential container cloud on YARN. Leveraging the support in YARN for Docker and services, we can allow users to spin up a bunch of Docker containers for their applications. These containers can be self contained or wired up to form more complex applications(using the Assemblies support in YARN). We will go over some of the lessons we learned as part of our experiences handling issues such as resource management, debugging application failures, running Docker, etc.
Slider is an open source project that allows for easy deployment, management, and monitoring of long-running applications on Hadoop YARN clusters. It provides a simpler platform than coding applications directly for YARN, handling application packaging, resource management, and lifecycle operations. Key features of Slider include application packaging standards, commands for starting, stopping, scaling applications, and integration with cluster management tools like Ambari for monitoring applications.
Apache Spark 2.0 set the architectural foundations of structure in Spark, unified high-level APIs, structured streaming, and the underlying performant components like Catalyst Optimizer and Tungsten Engine. Since then the Spark community has continued to build new features and fix numerous issues in releases Spark 2.1 and 2.2.
Apache Spark 2.3 & 2.4 has made similar strides too. In this talk, we want to highlight some of the new features and enhancements, such as:
• Apache Spark and Kubernetes
• Native Vectorized ORC and SQL Cache Readers
• Pandas UDFs for PySpark
• Continuous Stream Processing
• Barrier Execution
• Avro/Image Data Source
• Higher-order Functions
Speaker: Robert Hryniewicz, AI Evangelist, Hortonworks
Ambari 2.4.0 includes several new features and enhancements:
- Alerts now allow customizable check counts and parameters to avoid unnecessary notifications. New HDFS alerts also watch trends.
- Host filtering allows searching by various host attributes, services, and components for easier management.
- Services can now be removed directly from the Ambari web interface.
- Other improvements include customizable Ambari log and PID directories, a database consistency check, and View framework enhancements.
Apache Hive is a rapidly evolving project which continues to enjoy great adoption in the big data ecosystem. As Hive continues to grow its support for analytics, reporting, and interactive query, the community is hard at work in improving it along with many different dimensions and use cases. This talk will provide an overview of the latest and greatest features and optimizations which have landed in the project over the last year. Materialized views, the extension of ACID semantics to non-ORC data, and workload management are some noteworthy new features.
We will discuss optimizations which provide major performance gains, including significantly improved performance for ACID tables. The talk will also provide a glimpse of what is expected to come in the near future.
Staying Ahead of the Curve with Spring and Cassandra 4 (SpringOne 2020)Alexandre Dutra
Spring and Cassandra are two of the leading technologies for building cloud native applications. In this talk by the project leads for Spring Data and the Cassandra Java Driver, we’ll cover the recent improvements in the latest and greatest versions of Spring Boot, Spring Data Cassandra, Cassandra 4.0 and the Cassandra Java driver. Whether you’re a novice, intermediate, or expert developer, this content will help you get started or migrate your existing application to the latest innovations. We’ll illustrate these new concepts with code samples and snippets that you can find on GitHub to help you get things done faster with these tools.
This document discusses Spark operations and architecture. It provides examples of Spark code and describes how Spark is deployed on different cluster managers like standalone, YARN, and Mesos. It discusses features like dynamic resource allocation, multi-tenancy, security, and authorization capabilities in Spark.
Microservice Architecuture with Event Sourcing @ Sydney JVM MeetupBoris Kravtsov
Microservice architecture involves developing applications as independently deployable services that communicate through defined mechanisms. This document discusses microservice architecture and related concepts like event sourcing, CQRS, and how frameworks like Spring can be used to implement them. Specifically, it covers how Spring Cloud provides tools for service discovery, API gateways, load balancing. Spring Cloud Stream supports message-driven microservices. Project Reactor enables reactive programming well-suited for microservices.
This document discusses using Apache Geode and Docker. It provides an overview of Docker basics and commands. It then demonstrates building a Docker image for Apache Geode, including creating a Dockerfile that installs Java, clones the Geode codebase, and builds it. The document also discusses using Docker Compose to define and run Geode services like locators and servers within containers.
This is my Spring 2015 studio project. The 2nd Year Foundation Studio focused on developing an existing parking lot for UVa's sports facilities into a mixed use student housing area. My project focused on creating spaces for interaction between students and fans at the center of game day activity.
The engineering teams within Splunk have been using several technologies Kinesis, SQS, RabbitMQ and Apache Kafka for enterprise wide messaging for the past few years but have recently made the decision to pivot toward Apache Pulsar, migrating both existing use cases and embedding it into new cloud-native service offerings such as the Splunk Data Stream Processor (DSP).
The document provides an overview of the state of Apache Hadoop YARN. Key themes discussed include scaling to support very large clusters of 100,000+ nodes, improved global and fast scheduling capabilities, richer placement constraints, and enhanced support for containers, resources like GPUs and FPGAs, and services. The YARN community continues to grow with over 450 contributors.
Apache Accumulo is a distributed key-value store developed by the National Security Agency. It is based on Google's BigTable and stores data in tables containing sorted key-value pairs. Accumulo uses a master/tablet server architecture and stores data in HDFS files. Data can be queried using scanners or loaded using MapReduce. Accumulo works well with the Hadoop ecosystem and its installation is simplified using complete Hadoop distributions like Cloudera.
Apache Ambari BOF Meet Up @ Hadoop Summit 2013
APIs and SPIs – How to Integrate with Ambari
http://www.meetup.com/Apache-Ambari-User-Group/events/119184782/
Simplifying Apache Geode with Spring DataVMware Tanzu
SpringOne Platform 2017
John Blum, Pivotal
Building effective Apache Geode applications quickly and easily requires a framework that provides the right level of abstraction. In this session we take Alan Kay's infamous quote "Simple things should be simple; Complex things should be possible" to a whole new level with Spring Data Geode using Spring Boot. I'll show you how the new Annotation-based configuration model, which builds on existing concepts like SD Repositories, Spring's Cache Abstraction and Apache Geode CQ, helps you rapidly build working Apache Geode client/server applications in minutes. We end the session with a quick look at the roadmap and what users can expect next. You won't want to miss this.
Double Your Hadoop Hardware Performance with SmartSenseHortonworks
Hortonworks SmartSense provides proactive recommendations that improve cluster performance, security and operations. And since 30% of issues are configuration related, Hortonworks SmartSense makes an immediate impact on Hadoop system performance and availability, in some cases boosting hardware performance by two times. Learn how SmartSense can help you increase the efficiency of your Hadoop hardware, through customized cluster recommendations.
View the on-demand webinar: https://hortonworks.com/webinar/boosts-hadoop-hardware-performance-2x-smartsense/
This document discusses Apache Ambari and provides the following information:
1) It provides a background on Apache Ambari, describing it as an open source management platform for provisioning, managing, monitoring and securing Apache Hadoop clusters.
2) It discusses recent Ambari releases including versions 2.2.0, 2.2.2 and 2.4.0 GA.
3) It describes features of Ambari including alerts and metrics, blueprints, security setup using Kerberos and RBAC, log search, automated cluster upgrades and extensibility options.
Hortonworks technical workshop operations with ambariHortonworks
Ambari continues on its journey of provisioning, monitoring and managing enterprise Hadoop deployments. With 2.0, Apache Ambari brings a host of new capabilities including updated metric collections; Kerberos setup automation and developer views for Big Data developers. In this Hortonworks Technical Workshop session we will provide an in-depth look into Apache Ambari 2.0 and showcase security setup automation using Ambari 2.0. View the recording at https://www.brighttalk.com/webcast/9573/155575. View the github demo work at https://github.com/abajwa-hw/ambari-workshops/blob/master/blueprints-demo-security.md. Recorded May 28, 2015.
Over the last few years, the Apache Hive community has been working on advancements to enable a full new range of use cases for the project, moving from its batch processing roots towards a SQL interactive query answering platform. Traditionally, one of the most powerful techniques used to accelerate query processing in data warehouses is the pre-computation of relevant summaries or materialized views.
This talk presents our work on introducing materialized views and automatic query rewriting based on those materializations in Apache Hive. In particular, materialized views can be stored natively in Hive or in other systems such as Druid using custom storage handlers, and they can seamlessly exploit new exciting Hive features such as LLAP acceleration. Then the optimizer relies in Apache Calcite to automatically produce full and partial rewritings for a large set of query expressions comprising projections, filters, join, and aggregation operations. We shall describe the current coverage of the rewriting algorithm, how Hive controls important aspects of the life cycle of the materialized views such as the freshness of their data, and outline interesting directions for future improvements.
JESUS CAMACHO RODRIGUEZ, Member of Technical Staff, Hortonworks
Splunk Ninjas: New Features, Pivot and Search DojoSplunk
Besides seeing the newest features in Splunk Enterprise and learning the best practices for data models and pivot, we will show you how to use a handful of search commands that will solve most search needs. Learn these well and become a ninja.
Triple-E’class Continuous Delivery with Hudson, Maven, Kokki and PyDevWerner Keil
At Maersk Line, not only the world's biggest ships 'Triple-E' class vessels are currently being built. Continuous Integration and Delivery on a similar scale using Hudson, Maven and tools like Kokki similar to Puppet or Chef are also practiced there.
This session is going to give a brief overview of Multi-Configuration (Matrix) job types used in most of these projects. Things are being built and deployed in a heterogenous environment, otherwise probably found only at large vendors of Public Cloud services.
Hadoop & DevOps : better together by Maxime Lanciaux.
From deployment automation with tools (like jenkins, git, maven, ambari, ansible) to full automation with monitoring on HDP2.5+.
Apache Hadoop YARN is the resource and application manager for Apache Hadoop. In the past, YARN only supported launching containers as processes. However, as containerization has become extremely popular, more and more users wanted support for launching Docker containers. With recent changes to YARN, it now supports running Docker containers alongside process containers. Couple this with the newly added support for running services on YARN and it allows a host of new possibilities. In this talk, we'll present how to run a potential container cloud on YARN. Leveraging the support in YARN for Docker and services, we can allow users to spin up a bunch of Docker containers for their applications. These containers can be self contained or wired up to form more complex applications(using the Assemblies support in YARN). We will go over some of the lessons we learned as part of our experiences handling issues such as resource management, debugging application failures, running Docker, etc.
Slider is an open source project that allows for easy deployment, management, and monitoring of long-running applications on Hadoop YARN clusters. It provides a simpler platform than coding applications directly for YARN, handling application packaging, resource management, and lifecycle operations. Key features of Slider include application packaging standards, commands for starting, stopping, scaling applications, and integration with cluster management tools like Ambari for monitoring applications.
Apache Spark 2.0 set the architectural foundations of structure in Spark, unified high-level APIs, structured streaming, and the underlying performant components like Catalyst Optimizer and Tungsten Engine. Since then the Spark community has continued to build new features and fix numerous issues in releases Spark 2.1 and 2.2.
Apache Spark 2.3 & 2.4 has made similar strides too. In this talk, we want to highlight some of the new features and enhancements, such as:
• Apache Spark and Kubernetes
• Native Vectorized ORC and SQL Cache Readers
• Pandas UDFs for PySpark
• Continuous Stream Processing
• Barrier Execution
• Avro/Image Data Source
• Higher-order Functions
Speaker: Robert Hryniewicz, AI Evangelist, Hortonworks
Ambari 2.4.0 includes several new features and enhancements:
- Alerts now allow customizable check counts and parameters to avoid unnecessary notifications. New HDFS alerts also watch trends.
- Host filtering allows searching by various host attributes, services, and components for easier management.
- Services can now be removed directly from the Ambari web interface.
- Other improvements include customizable Ambari log and PID directories, a database consistency check, and View framework enhancements.
Apache Hive is a rapidly evolving project which continues to enjoy great adoption in the big data ecosystem. As Hive continues to grow its support for analytics, reporting, and interactive query, the community is hard at work in improving it along with many different dimensions and use cases. This talk will provide an overview of the latest and greatest features and optimizations which have landed in the project over the last year. Materialized views, the extension of ACID semantics to non-ORC data, and workload management are some noteworthy new features.
We will discuss optimizations which provide major performance gains, including significantly improved performance for ACID tables. The talk will also provide a glimpse of what is expected to come in the near future.
Staying Ahead of the Curve with Spring and Cassandra 4 (SpringOne 2020)Alexandre Dutra
Spring and Cassandra are two of the leading technologies for building cloud native applications. In this talk by the project leads for Spring Data and the Cassandra Java Driver, we’ll cover the recent improvements in the latest and greatest versions of Spring Boot, Spring Data Cassandra, Cassandra 4.0 and the Cassandra Java driver. Whether you’re a novice, intermediate, or expert developer, this content will help you get started or migrate your existing application to the latest innovations. We’ll illustrate these new concepts with code samples and snippets that you can find on GitHub to help you get things done faster with these tools.
This document discusses Spark operations and architecture. It provides examples of Spark code and describes how Spark is deployed on different cluster managers like standalone, YARN, and Mesos. It discusses features like dynamic resource allocation, multi-tenancy, security, and authorization capabilities in Spark.
Microservice Architecuture with Event Sourcing @ Sydney JVM MeetupBoris Kravtsov
Microservice architecture involves developing applications as independently deployable services that communicate through defined mechanisms. This document discusses microservice architecture and related concepts like event sourcing, CQRS, and how frameworks like Spring can be used to implement them. Specifically, it covers how Spring Cloud provides tools for service discovery, API gateways, load balancing. Spring Cloud Stream supports message-driven microservices. Project Reactor enables reactive programming well-suited for microservices.
This document discusses using Apache Geode and Docker. It provides an overview of Docker basics and commands. It then demonstrates building a Docker image for Apache Geode, including creating a Dockerfile that installs Java, clones the Geode codebase, and builds it. The document also discusses using Docker Compose to define and run Geode services like locators and servers within containers.
This is my Spring 2015 studio project. The 2nd Year Foundation Studio focused on developing an existing parking lot for UVa's sports facilities into a mixed use student housing area. My project focused on creating spaces for interaction between students and fans at the center of game day activity.
Sunil Kumar Chauhan is seeking a new challenging role that allows him to utilize his 11+ years of experience in instrumentation and electrical engineering. He is currently an engineer at Continental India Ltd where he maintains automation systems and plant equipment. Chauhan has expertise in PLC programming, drives, sensors, process improvement, and executing automation projects. He has experience working with Siemens, Allen Bradley, and Yokogawa systems. Some of his project experience includes commissioning a power plant DCS, paper machine, and industrial furnaces.
Adhir Kumar Shukla is applying for the position of Senior Associate at Pepperfry.com. He has over 6 months of experience in warehouse operations and merchandising at Pepperfry.com. Previously, he worked as an Executive Officer at Bihar Foundation and as a Floor Manager at Aryabhat Computers. He holds a B.Tech in Biotechnology from Jaipur National University. Shukla believes his expertise in operations, training teams, and negotiating deals would enable him to be a significant contributor to the company. He is interested in meeting for an interview.
This document provides a step-by-step guide for high school students to follow when applying to colleges. It includes instructions on using the school's Naviance account to organize the application process, request letters of recommendation, add colleges to apply to lists, match Common App accounts, and submit transcript release forms. The document emphasizes starting early, meeting deadlines, and ensuring all application materials like test scores and transcripts are sent to schools directly. It also answers some frequently asked questions about following the steps, application timelines, and accessing Naviance features.
Balancing the Distribution of Income: Factors Affecting Decision Making with ...David Kyson
The following report has been produced to critically explore existing literature concerned with dividend and investment policies. It investigates the factors, both internal and external, that may act as motivators when private listed companies are in the decision making process of how best to distribute retained earnings.
Benefits have been deduced for the two differing distribution policies, whilst critiquing the supporting literature to create a balanced and reliable view of both strategies. There is research indicating dividend policies can be a useful indicator for accounting fraud, although this is has been disputed by some. External factors such as tax and exchange rates have been found to have an effect on dividend policies, though there is contrasting evidence as to the permanence of the effect.
The role of the shareholders has also been investigated, finding that shareholders will often be attracted to companies directly because of their policies and may possibly pull their investment should the policy change. Different theories have been applied and critiqued in this section of the report.
This short document promotes creating presentations using Haiku Deck, a tool for making slideshows. It encourages the reader to get started making their own Haiku Deck presentation and sharing it on SlideShare. In a single sentence, it pitches the idea of using Haiku Deck to easily design presentations.
The document summarizes an ANSYS model and analysis to generate a chart of stress concentration factor (Kt) in a notched rectangular bar with a varying notch radius (r). The model is symmetric about two axes, with a width (w) to depth (d) ratio of 3, Poisson's ratio of 0.3, and applied pressure of -1 MPa. Meshes from coarse to fine were used, with stress changing by 2.4% indicating reasonable convergence. Results include deformed shape, stress contour, and a plot of Kt versus r/d with w/d held constant at 3.
The document describes a simulation of heat transfer into a copper ball heated by a torch. It derives equations to model the temperature change over time considering convection and optionally radiation heat transfer. The simulation is performed in MATLAB considering first only convection, then convection and radiation. The results show that including radiation lowers the final steady state temperature from 152°C to 131°C and decreases the settling time from 4540 seconds to 3340 seconds.
Este documento describe la estructura y procesos de la memoria humana. Explica que la memoria está compuesta de tres procesos básicos: codificación, almacenamiento y recuperación. Además, presenta el modelo de Atkinson-Shiffrin, el cual propone que la memoria está formada por tres almacenes: memoria sensorial, memoria de corto plazo y memoria de largo plazo. Finalmente, define la memoria operativa como la habilidad para almacenar y manipular información por períodos cortos de tiempo para apoyar
This document summarizes a study estimating geo-mechanical properties of reservoir rocks from well log data. The study presents a method to predict shear wave velocity from compressional wave velocity, porosity, and shale content when direct shear wave measurements are unavailable. Elastic properties including Poisson's ratio, shear modulus, bulk modulus, and Young's modulus are then calculated. These properties allow evaluation of formation strength and prediction of safe production rates without sand production. The results show shear and compressional wave velocities are linearly related. Calculated combined modulus of strength and shear modulus to compressibility ratio values indicate the formations can generally be produced safely below an optimum flow rate without significant sand production risks.
Prospective clinical trial of traction device-assisted endoscopic submucosal ...Goto Pablo
1) The study evaluated the efficacy and safety of a new traction device called the S-O clip for assisting endoscopic submucosal dissection (ESD) of large superficial colorectal tumors.
2) 27 patients underwent ESD with assistance from the S-O clip, while 23 patients underwent conventional ESD without the clip.
3) ESD with the S-O clip took less time on average (37.4 minutes vs 67.1 minutes for conventional ESD) and achieved en bloc resection in all cases without complications, demonstrating it is a safe and efficient method for resecting large superficial colorectal tumors.
In this session we review the design of the current capabilities of the Spring Data GemFire API that supports Geode, and explore additional use cases and future direction that the Spring API and underlying Geode support might evolve.
The document discusses adding application orchestration, monitoring, and provisioning capabilities to Chef using Cloudify. It describes how Cloudify can automate tasks like deployment, monitoring, self-healing, auto-scaling and provide features like remote execution and cloud portability that enhance Chef's capabilities. An example integration process is outlined where a Cloudify service is created that utilizes a Chef agent and cookbook. PaddyPower's use of Cloudify with Chef for continuous delivery is also briefly described.
Express is a popular Node.js framework that provides scaffolding for building web applications in an organized manner. It allows adding middleware functions and templating engines like Dust.js to add dynamic content. The document demonstrates how to use the Request module to call an external weather API, parse the JSON response, and render the data in a Dust template to present weather information for different cities. It concludes by discussing deploying the application to production platforms like Bluemix.
Apigee Deploy Grunt Plugin - API Management Lifecycle Tool that makes your life easier by providing a JavaScript pluggable framework for API development.
Part 4: Custom Buildpacks and Data Services (Pivotal Cloud Platform Roadshow)VMware Tanzu
Custom Buildpacks & Data Services
The primary goals of this session are to:
Give an overview of the extension points available to Cloud Foundry users.
Provide a buildpack overview with a deep focus on the Java buildpack (my target audience has been Java conferences)
Provide an overview of service options, from user-provided to managed services, including an overview of the V2 Service Broker API.
Provide two hands-on lab experiences:
Java Buildpack Extension
via customization (add a new framework component)
via configuration (upgrade to Java 8)
Service Broker Development/Management
deploy a service broker for “HashMap as a Service (HaaSh).”
Register the broker, make the plan public.
create an instance of the HaaSh service
deploy a client app, bind to the service, and test it
Pivotal Cloud Platform Roadshow is coming to a city near you!
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Part 2: Architecture and the Operator Experience (Pivotal Cloud Platform Road...VMware Tanzu
The primary goals of this session are to:
Do a deep dive into the CF architecture via animated slides illustrating push, stage, deploy, scale, and health management.
Also do a brief dive into BOSH, including why BOSH, what it is, and animations of how it works. It’s not an operations focused workshop, so we keep the treatment light.
Discuss the value adds to CF BOSH OSS that Pivotal brings through the Pivotal Ops Manager product and our associated ecosystem of data and mobile services.
Quickly prove that I can push an app to a Pivotal CF environment running on vCHS in the same exact way I can push an app to PWS.
Pivotal Cloud Platform Roadshow is coming to a city near you!
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The Platform for Building Great SoftwarePlatform CF
The document discusses Pivotal Cloud Foundry, an enterprise platform as a service (PaaS) that allows developers to build and deploy applications quickly. It highlights how Pivotal CF can help enterprises transform their development processes by enabling rapid, iterative deployment and continuous delivery. A demo shows how developers can deploy applications to Pivotal CF with a single command and have them automatically scale horizontally. Case studies show how companies like Rakuten have benefited from speed, agility, and cost savings with Pivotal CF.
Pivotal One: The Platform For Building Great Software VMware Tanzu
Exclusive first look at Pivotal One, a comprehensive, multi-cloud Enterprise PaaS that runs on top of Pivotal CF, the leading enterprise distribution of the Cloud Foundry platform. James Watters, Head of Product and James Bayer, Director of Product Management, share learnings from enterprises who are overcoming the challenges of transforming into software-driven organizations by using Pivotal One, an integrated platform of application and data services that run on Pivotal CF.
Introducing Apache Geode and Spring Data GemFireJohn Blum
This document introduces Apache Geode, an open source distributed in-memory data management platform. It discusses what Geode is, how it is implemented, and some key features like high availability, scalability and low latency. It also introduces Spring Data GemFire, which simplifies using Geode with Spring applications through features like repositories and caching. Finally, it outlines the project roadmap and opportunities to get involved in the Geode community.
The document discusses rapid prototyping of applications using Grails and SAP's HANA Cloud Platform (HCP). It provides an overview of HCP and Grails, then demonstrates building a simple web application for managing tech events using Grails on HCP. Key steps include generating a Grails domain class and controllers, modifying configuration for the HCP deployment, building and deploying the WAR file locally and to HCP, and accessing the application. Resources for further information on HCP, Grails, Groovy and the sample app are also listed.
by Filippo Lambiente - This round table represents a unique chance to meet the main solution vendors and learn directly from their specialists how PaaS adoption can streamline continuous delivery processes and increase team focus and productivity to dramatically improve time to market. Continuous delivery is an agile approach to software delivery that helps to achieve frequent and reliable releases through team collaboration and full automation. Platform as a service (PaaS) is a cloud computing paradigm that enables rapid deployment of applications without the complexity of managing the underlying infrastructure.
Pivotal Cf, the most advanced Enterpise PaaS Platform in the world. this presentations explains how PCF helps developers and operators and boost their operational agility and enhance their IT capabilities.
The primary goals of this presentation are to:
- Show how to easily deploy Pivotal Cloud Foundry to CenturyLink Cloud with CenturyLink’s Blueprint technology
- Do a deep dive into the CF architecture via animated slides illustrating push, stage, deploy, scale and health management.
- Discuss in depth how Pivotal Cloud Foundry simplifies many traditional operator concerns such as managing application updates, availability, user/quota management and monitoring.
- Provide a brief introduction to BOSH, including why BOSH, what it is and animations of how it works.
- Discuss the value adds to CF BOSH OSS that Pivotal brings through the Pivotal Ops Manager product and our associated ecosystem of data and mobile services.
The document discusses Pivotal Cloud Foundry (PCF), a platform that allows developers to build, deploy, and run cloud-native applications. It summarizes key features of PCF 1.6 including support for Spring Cloud services, the new Diego runtime, Docker containers, and .NET applications. The Diego runtime uses a distributed system of cells, schedulers, and shared state to run containerized applications at scale across private and public clouds. PCF aims to provide developers an integrated platform for building cloud-native applications throughout the full application lifecycle.
Removing Barriers Between Dev and Ops by Shahaf Airily, Advisory Field Engineer EMEA, Pivotal. This presentation is from VMworld Barcelona. For more information, visit https://pivotal.io/event/vmworld-europe
This document discusses a presentation about Pivotal Cloud Foundry. The presentation covers trends in software development like cloud, agile development and DevOps practices. It then provides an overview of Pivotal Cloud Foundry as an enterprise Platform as a Service (PaaS) and how it helps with developer agility and operational agility. Finally, it shares some customer stories about organizations that have successfully used Pivotal Cloud Foundry.
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Navigating EAA Compliance in Testing.pdfApplitools
Designed for software testing practitioners and managers, this session provides the knowledge and tools needed to be prepared, proactive, and positioned for success with EAA compliance. See the full session recording at https://applitools.info/0qj
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Discover effective strategies for working with 3D artists on mobile game projects. Learn how top mobile game development companies streamline collaboration with 3D artists in Dubai for high-quality, optimized game assets.
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Streamline Your Manufacturing Data. Strengthen Every Operation.Aparavi
Unlock Intelligent Manufacturing with AI-Ready Data from Aparavi
Discover how Aparavi empowers manufacturers to streamline operations, secure proprietary information, and simplify compliance using intelligent unstructured data management. This one-pager outlines how Aparavi classifies, tags, and prepares unstructured data—like CAD files, machine logs, and inspection reports—for ERP, MES, QMS, and analytics platforms. Seamlessly integrate with existing systems, automate policy governance, and reduce data waste while ensuring compliance with ISO, NIST, and GDPR. Ideal for manufacturers seeking AI-driven efficiency, cost reduction, and audit readiness without disrupting plant operations.
Why Tapitag Ranks Among the Best Digital Business Card ProvidersTapitag
Discover how Tapitag stands out as one of the best digital business card providers in 2025. This presentation explores the key features, benefits, and comparisons that make Tapitag a top choice for professionals and businesses looking to upgrade their networking game. From eco-friendly tech to real-time contact sharing, see why smart networking starts with Tapitag.
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Meet the New Kid in the Sandbox - Integrating Visualization with PrometheusEric D. Schabell
When you jump in the CNCF Sandbox you will meet the new kid, a visualization and dashboards project called Perses. This session will provide attendees with the basics to get started with integrating Prometheus, PromQL, and more with Perses. A journey will be taken from zero to beautiful visualizations seamlessly integrated with Prometheus. This session leaves the attendees with hands-on self-paced workshop content to head home and dive right into creating their first visualizations and integrations with Prometheus and Perses!
Perses (visualization) - Great observability is impossible without great visualization! Learn how to adopt truly open visualization by installing Perses, exploring the provided tooling, tinkering with its API, and then get your hands dirty building your first dashboard in no time! The workshop is self-paced and available online, so attendees can continue to explore after the event: https://o11y-workshops.gitlab.io/workshop-perses
Launch your own super app like Gojek and offer multiple services such as ride booking, food & grocery delivery, and home services, through a single platform. This presentation explains how our readymade, easy-to-customize solution helps businesses save time, reduce costs, and enter the market quickly. With support for Android, iOS, and web, this app is built to scale as your business grows.
How to avoid IT Asset Management mistakes during implementation_PDF.pdfvictordsane
IT Asset Management (ITAM) is no longer optional. It is a necessity.
Organizations, from mid-sized firms to global enterprises, rely on effective ITAM to track, manage, and optimize the hardware and software assets that power their operations.
Yet, during the implementation phase, many fall into costly traps that could have been avoided with foresight and planning.
Avoiding mistakes during ITAM implementation is not just a best practice, it’s mission critical.
Implementing ITAM is like laying a foundation. If your structure is misaligned from the start—poor asset data, inconsistent categorization, or missing lifecycle policies—the problems will snowball.
Minor oversights today become major inefficiencies tomorrow, leading to lost assets, licensing penalties, security vulnerabilities, and unnecessary spend.
Talk to our team of Microsoft licensing and cloud experts to look critically at some mistakes to avoid when implementing ITAM and how we can guide you put in place best practices to your advantage.
Remember there is savings to be made with your IT spending and non-compliance fines to avoid.
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AI in Business Software: Smarter Systems or Hidden Risks?Amara Nielson
AI in Business Software: Smarter Systems or Hidden Risks?
Description:
This presentation explores how Artificial Intelligence (AI) is transforming business software across CRM, HR, accounting, marketing, and customer support. Learn how AI works behind the scenes, where it’s being used, and how it helps automate tasks, save time, and improve decision-making.
We also address common concerns like job loss, data privacy, and AI bias—separating myth from reality. With real-world examples like Salesforce, FreshBooks, and BambooHR, this deck is perfect for professionals, students, and business leaders who want to understand AI without technical jargon.
✅ Topics Covered:
What is AI and how it works
AI in CRM, HR, finance, support & marketing tools
Common fears about AI
Myths vs. facts
Is AI really safe?
Pros, cons & future trends
Business tips for responsible AI adoption
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Surviving a Downturn Making Smarter Portfolio Decisions with OnePlan - Webina...OnePlan Solutions
When budgets tighten and scrutiny increases, portfolio leaders face difficult decisions. Cutting too deep or too fast can derail critical initiatives, but doing nothing risks wasting valuable resources. Getting investment decisions right is no longer optional; it’s essential.
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eady to harness the power of Grafana for your HackUPC project? This session provides a rapid introduction to the core concepts you need to get started. We'll cover Grafana fundamentals and guide you through the initial steps of building both compelling dashboards and your very first Grafana app. Equip yourself with the essential tools to visualize your data and bring your innovative ideas to life!
Building Apps for Good The Ethics of App DevelopmentNet-Craft.com
This article explores the critical ethical considerations that application development phoenix companies and individual app developers phoenix az must address to ensure they are building apps for good, contributing positively to society, and fostering user trust. Know more https://www.net-craft.com/blog/2025/04/29/ethics-in-app-development/
A Deep Dive into Odoo CRM: Lead Management, Automation & MoreSatishKumar2651
This presentation covers the key features of Odoo CRM, including lead management, pipeline tracking, email/VoIP integration, reporting, and automation. Ideal for businesses looking to streamline sales with an open-source, scalable CRM solution.
Explore this in-depth presentation covering the core features of Odoo CRM, one of the most flexible and powerful open-source CRM solutions for modern businesses.
This deck includes:
✅ Lead & Pipeline Management
✅ Activity Scheduling
✅ Email & VoIP Integration
✅ Real-Time Reporting
✅ Workflow Automation
✅ Multi-channel Lead Capture
✅ Integration with other Odoo modules
Whether you're in manufacturing, services, real estate, or healthcare—Odoo CRM can help you streamline your sales process and boost conversions.