Azure Cosmos DB: Features, Practical Use and Optimization "

Jun 19, 2017Download as PPTX, PDF2 likes2,606 views

This presentation is dedicated to Azure Cosmos DB, it's history, characteristics, tasks and solutions. The presentation deals with performance optimization, practical experience of usage and an overview of the news about Cosmos DB from Microsoft Build 2017 conference (https://build.microsoft.com). This presentation by Andriy Gorda (Engineering Manager & Lead Software Engineer, Consultant, GlobalLogic Kharkiv) was delivered at GlobalLogic Kharkiv MS TechTalk on June 13, 2017.

1
Azure Cosmos DB: Features, practical use
and optimization
Andriy Gorda
Engineering Manager & Lead Software Engineer
Manager of the best new team 2016
13 June 2017

2
Agenda
1. Overview – capabilities and limitations
• Collections
• Indexing
• Global Distribution
• Consistency levels
• Development Tools and SDKs
2. Performance tuning – considerations, steps and tools
• What is request unit?
• Our top 5 performance tips
3. MS Build 2017 announced changes

33
Overview – capabilities and
limitations

4
Overview
• Unlimited elastically scaled storage
• Unlimited elastically scaled throughput
• Worldwide distribution
• Default index to all documents in a database
• SQL syntax to query JSON documents
• Standard scalar, string functions in a query
• Support for Stored Procedures, User Defined
functions, Triggers, etc.

5
Collections
• Named container for JSON documents
• SLA guaranteed throughput
• Throughput-based billable unit
• Scalable through Azure Portal and APIs both

6
Indexing
• Indexed by default
• Data type: String, Number, Point, Polygon,
or LineString
• Index kind: Hash (equality
queries), Range (equality, range or Order By
queries), or Spatial (spatial queries)
• Precision: 1-8 or -1 (Maximum precision) for
numbers, 1-100 (Maximum precision) for
string
• 3 Indexing Modes – Consistent, Lazy and
None

7
Global distribution
• Turn-key manageable through Azure Portal
and API both
• Automatically distributed
• Accessible in more than 30 regions worldwide
• Targets disaster recovery and low-latency
access both
• Fine-grained through separate read and write
regions
• SLA – guaranteed low latency

9
Development Tools and SDKs
• SDKs are available for .NET, Python, Node.js,
JavaScript, and Java, plus REST API
• Free local emulator up to 25 collections
• Special API for MondoDB
• Migration tool to import and export data with
maximum performance
• DocumentDBStudio for all the development
use cases from SQL to stored procedures,
UDFs and triggers
• Github – based comprehensive samples

1010
Performance tuning –
considerations, steps and tools

12
Performance awareness through Azure Portal Metrics

16
3. Trace request units, be aware of throttling

18
5. Read the documentation, play with samples
and open-source tools

20
• Graph database support queried with Gremlin
API
• Key-value database support with Premium
Table API
• Additional ‘Consistent Prefix’consistency level
• Request units per minute add-on provision
capability

This presentation is dedicated to Microsoft Azure. It contains an overview of the main trends in the development of Microsoft Azure, and the solutions that Microsoft offers with this product. There are also insights on its further development, and an impact it is going to bring to the market. This presentation by Andriy Gnennyy (Senior Consultant, GlobalLogic Kharkiv) was delivered at GlobalLogic Kharkiv MS TechTalk on June 13, 2017.

Cloud Computing101 Azure, updated june 2017Fernando Mejía

Cosmos DB ServiceNexThoughts Technologies

- Cosmos DB is Microsoft's globally distributed database service that can scale worldwide to manage large amounts of data. It supports multiple APIs and data models including document, graph, table, and MongoDB APIs. - Key advantages include global distribution of data across regions, automatic scaling of storage and throughput, low latency and high availability, flexible schemas, and low cost of ownership. - Cosmos DB supports document, table, graph and MongoDB APIs. MongoDB and DocumentDB are both document oriented and store data as JSON, while table API uses a key-value model and graph API models relationships. - The document compares Cosmos DB to other database options like MySQL and MongoDB, covering their data models, usage, and how to set

Bi and AI updates in the Microsoft Data Platform stackIvan Donev

This document provides an overview and agenda for a presentation on new features in the Microsoft data platform universe including SQL Server, Azure, and Power BI, with a focus on business intelligence (BI) and artificial intelligence (AI). The presentation covers new features in SQL Server 2019 for BI like calculation groups and dynamic formatting in Analysis Services tabular mode. It also highlights important updates in Azure including new serverless and hyperscale options for Azure SQL Database, updates to data ingestion and storage with Azure Data Factory v2 and Azure Data Lake Gen 2, and changes to data modeling, preparation, and serving capabilities in Azure SQL Data Warehouse. The document concludes by discussing options for incorporating AI and machine learning into BI solutions using either

Discovery Day 2019 Sofia - What is new in SQL Server 2019Ivan Donev

This document summarizes new features in SQL Server 2019 including: - Support for big data analytics using SQL Server, Spark, and data lakes for high volume data storage and access. - Enhanced data virtualization capabilities to combine data from multiple sources. - An integrated AI platform to ingest, prepare, train, store, and operationalize machine learning models. - Improved security, performance, and high availability features like Always Encrypted with secure enclaves and accelerated database recovery. - Continued improvements based on community feedback.

Discovery Day 2019 Sofia - Big data clustersIvan Donev

This document provides an overview of the architecture and components of SQL Server 2019 Big Data Clusters. It describes the key Kubernetes concepts used in Big Data Clusters like pods, services, and nodes. It then explains the different planes (control, compute, data) and nodes that make up a Big Data Cluster and their roles. Components in each plane like the SQL master instance, compute pools, storage pools, and data pools are also outlined.

.NET Core Apps: Design & DevelopmentGlobalLogic Ukraine

This talk cover the principles and the best practices in creation of flexible Microsoft .NET Core-based applications in connection with Microsoft Azure services, as well as tools and libraries that greatly simplify the development, configuration and deployment of applications. Also, attention paid to some pitfalls that may be encountered while using .NET Core. This presentation by Andrii Antilikatorov, Consultant at GlobalLogic Kharkiv, was delivered at GlobalLogic Kharkiv MS TechTalk #2 on November 4, 2017.

Upgrade your SQL Server like a NinjaAmit Banerjee

Amit Banerjee is a senior program manager at Microsoft focusing on performance and high availability disaster recovery (HADR) for SQL Server. He has nearly a decade of experience with SQL Server and was previously part of Microsoft's SQL escalation services and premier field engineering teams. Banerjee is also an author of books on SQL Server internals and troubleshooting as well as migration to SQL Server on Azure. In this presentation, he discusses SQL Server 2017's focus on choice, intelligence, and easy migration. He also outlines the upgrade journey and provides an overview of tools and services for database assessment, migration, and modernization.

Azure database services for PostgreSQL and MySQLAmit Banerjee

Дмитрий Лавриненко "Blockchain for Identity Management, based on Fast Big Data"Fwdays

Dmitry Lavrinenko is a solutions architect who specializes in blockchain for identity management, big data, and related technologies. He proposes a vendor-agnostic SaaS platform that utilizes fast data technologies like continuous loading, parallel processing, and data consolidation. The solution would include a data warehouse, processing, analytics, visualization, machine learning, and identity management capabilities. Blockchain provides benefits like cryptographic security, privacy, consensus, audibility and smart contracts for managing identities. The proposed architecture features data lakes, batch and speed layers, serving layers, storage, functions, streaming, and machine learning components.

NoSQL benchmarkingPrasoon Kumar

Shift: Real World Migration from MongoDB to CassandraDataStax

An afternoon with mongo db new delhiRajnish Verma

The document summarizes MongoDB as a modern database designed to solve problems of volume, velocity, and variety of data that traditional relational databases are not well-suited for. It highlights key MongoDB features like scalability, flexible schemas, and high availability. The document also discusses how MongoDB compares favorably to other databases in security capabilities and is a good fit for applications involving user data management, content delivery, and mobile apps.

Bleeding Edge DatabasesLynn Langit

Bootstrap SaaS startup using Open Source Toolsbotsplash.com

Scylla Summit 2018: Scaling your time series data with NewtsScyllaDB

Today's datasets are growing at an exponential rate. Collection, storage, analysis, and reporting are becoming more challenging, and the results more valued. A decade ago, RRDTool's algorithms were well-suited to our requirements, but they fall short of scaling to current demands. A new direction is needed, one that prioritizes write-optimized storage, and that scales beyond a single host. This presentation will provide an overview of Newts, a distributed time-series data store based on ScyllaDB, show how it compares to other solutions, and take a look at how it is integrated in OpenNMS.

Introduction to AWS KinesisSteven Ensslen

What's new in MongoDB 2.6Matias Cascallares

The document summarizes the key improvements in MongoDB version 2.6, including improved operations, integrated search capabilities, query system enhancements, improved security features, and better performance and stability. Some of the main updates are bulk write operations, background indexing and replication, storage allocation improvements to reduce fragmentation, full text search integration, index intersection capabilities, aggregation framework enhancements, and auditing functionality. The presentation provides details on each of these areas.

Migration to Alibaba CloudAlibaba Cloud

See webinar recording of this presentation at https://resource.alibabacloud.com/webinar/detail.htm?webinarId=33 Cloud migration is the first big step for any organization wishing to undertake modern digital transformation. For most companies, choosing the best cloud migration strategy is a complex puzzle to solve. In this webinar presentation, we will look at the high-level elements that an organization should consider as they contemplate a move to Alibaba Cloud. The presentation will also help organizations to understand the different migration scenarios, business strategies, tools and methodologies available to migrate to Alibaba Cloud. This includes how to choose the optimal migration method based on business cases and a short demo of Alibaba Cloud migration tools which can help enterprises to accelerate their cloud migration goals.

The Roadmap for SQL Server 2019Amit Banerjee

RpsonmongodbMongoDB APAC

- Rediff News uses MongoDB for its publishing system to manage the lifecycle of articles, store article metadata and roles, acquire external feeds, enable tagging and notifications, and power search and data visualization on maps. - The system allows users to upload Excel data, match it to map attributes, generate articles using data science insights, and visualize data on interactive maps. - Rediff's architecture uses POJOs to define schemas, custom collections to store different data types, and a REST layer to expose data resources and abstract storage from applications.

How to Set Up ApsaraDB for RDS on Alibaba CloudAlibaba Cloud

RDS is Alibaba Cloud's relational database service that provides a managed database service. It offers high availability, high performance, and scalability. Key benefits include usability through easy deployment and management, security through features like IP whitelisting and SQL attack protection, and availability through an architecture with primary and standby instances in different zones for failover. RDS instances can be easily scaled up or down and offer backups, read replicas, and temporary instances for recovery.

Cignex mongodb-sharding-mongodbdaysMongoDB APAC

This document discusses MongoDB sharding as a case study for scaling MongoDB. It provides background on CIGNEX Datamatics and their big data analytics practice. It then describes a use case of 7 million users accessing digital assets across 8 devices each. It recommends MongoDB due to its flexibility and performance. The solution involves sharding across multiple MongoDB nodes to distribute the data and handle the high volume of concurrent requests. Benchmarking shows that sharding significantly improves performance of inserts and updates over non-sharded architecture. The key takeaway is that sharding is very effective but requires careful planning, benchmarking, and choice of shard key.

How SQL Server 2016 SP1 Changes the GamePARIKSHIT SAVJANI

With the recent release of SQL Server 2016 SP1 providing a consistent programming surface area has generated quite a buzz in the SQL Server community. SQL Server 2016 SP1 allows businesses of all sizes to leverage full feature set such as In-Memory technologies on all editions of SQL Server to get enterprise grade performance. This presentation focuses on the new improvements, new limits on the lower editions, differentiating factors and key scenarios enabled by SQL Server 2016 SP1 which makes SQL Server 2016 SP1 an obvious choice for the customers. This session was delivered to PASS VC DBA fundamentals chapter for everyone to learn about these exciting new improvements announced with SQL Server 2016 SP1 to ensure they are leveraging them to maximize performance and throughput of your SQL Server environment.

Manage Microservices & Fast Data Systems on One Platform w/ DC/OSMesosphere Inc.

This document provides an overview of Mesosphere DC/OS and its benefits. It begins with an introduction to the challenges of building data-intensive applications at scale. It then outlines how Mesosphere DC/OS provides a unified platform for containers and data services across infrastructure with automation and architectural control. Key benefits highlighted include speed, cost savings, and ensuring necessary skills. The document concludes with examples of how Mesosphere is powering industry leaders and a demo.

SQL Server 2017 Enhancements You Need To KnowQuest

SQL, Redis and Kubernetes by Paul Stanton of Windocks - Redis Day Seattle 2020Redis Labs

The document discusses common use cases for combining SQL, Redis, and Kubernetes including caching, session management, rate limiting, and data ingestion. It outlines how Kubernetes can be used for scaling microservices while Redis is used for data service scaling. The presentation proposes combining Redis, SQL Server, and Kubernetes with a proxy service, and describes using Redis for caching, session storage, and rate limiting of SQL data. It also discusses running Redis and front-end apps on Kubernetes and deploying SQL as a Kubernetes service through a proxy.

iForum 2015: SQL vs. NoSQLДенис Резник

Если раньше при старте нового проекта нам нужно было выбрать одну из доступных на тот момент SQL баз данных, то за последние 5 лет ситуация кардинально изменилась. Теперь выбор стал гораздо сложнее. SQL или NoSQL? Сloud или on-premises? Если SQL/NoSQL - то какая именно? А может использовать и то и другое? В данном докладе мы постараемся представить общий обзор доступных сегодня решений для хранения данных и определиться с критериями выбора.

Mongo db 3.4 OverviewNorberto Leite

Getting started with postgresqlbotsplash.com

This document provides an overview of Postgresql, including its history, capabilities, advantages over other databases, best practices, and references for further learning. Postgresql is an open source relational database management system that has been in development for over 30 years. It offers rich SQL support, high performance, ACID transactions, and extensive extensibility through features like JSON, XML, and programming languages.

More Related Content

What's hot (20)

Azure database services for PostgreSQL and MySQLAmit Banerjee

Дмитрий Лавриненко "Blockchain for Identity Management, based on Fast Big Data"Fwdays

NoSQL benchmarkingPrasoon Kumar

Shift: Real World Migration from MongoDB to CassandraDataStax

An afternoon with mongo db new delhiRajnish Verma

Bleeding Edge DatabasesLynn Langit

Bootstrap SaaS startup using Open Source Toolsbotsplash.com

Scylla Summit 2018: Scaling your time series data with NewtsScyllaDB

Introduction to AWS KinesisSteven Ensslen

What's new in MongoDB 2.6Matias Cascallares

Migration to Alibaba CloudAlibaba Cloud

The Roadmap for SQL Server 2019Amit Banerjee

RpsonmongodbMongoDB APAC

How to Set Up ApsaraDB for RDS on Alibaba CloudAlibaba Cloud

Cignex mongodb-sharding-mongodbdaysMongoDB APAC

How SQL Server 2016 SP1 Changes the GamePARIKSHIT SAVJANI

Manage Microservices & Fast Data Systems on One Platform w/ DC/OSMesosphere Inc.

SQL Server 2017 Enhancements You Need To KnowQuest

SQL, Redis and Kubernetes by Paul Stanton of Windocks - Redis Day Seattle 2020Redis Labs

iForum 2015: SQL vs. NoSQLДенис Резник

Azure database services for PostgreSQL and MySQLAmit Banerjee

Дмитрий Лавриненко "Blockchain for Identity Management, based on Fast Big Data"Fwdays

NoSQL benchmarkingPrasoon Kumar

Shift: Real World Migration from MongoDB to CassandraDataStax

An afternoon with mongo db new delhiRajnish Verma

Bleeding Edge DatabasesLynn Langit

Bootstrap SaaS startup using Open Source Toolsbotsplash.com

Scylla Summit 2018: Scaling your time series data with NewtsScyllaDB

Introduction to AWS KinesisSteven Ensslen

What's new in MongoDB 2.6Matias Cascallares

Migration to Alibaba CloudAlibaba Cloud

The Roadmap for SQL Server 2019Amit Banerjee

RpsonmongodbMongoDB APAC

How to Set Up ApsaraDB for RDS on Alibaba CloudAlibaba Cloud

Cignex mongodb-sharding-mongodbdaysMongoDB APAC

How SQL Server 2016 SP1 Changes the GamePARIKSHIT SAVJANI

Manage Microservices & Fast Data Systems on One Platform w/ DC/OSMesosphere Inc.

SQL Server 2017 Enhancements You Need To KnowQuest

SQL, Redis and Kubernetes by Paul Stanton of Windocks - Redis Day Seattle 2020Redis Labs

iForum 2015: SQL vs. NoSQLДенис Резник

Similar to Azure Cosmos DB: Features, Practical Use and Optimization " (20)

Mongo db 3.4 OverviewNorberto Leite

Getting started with postgresqlbotsplash.com

USQL Trivadis Azure Data Lake EventTrivadis

Big Data trainingvishal192091

The document provides an overview of big data concepts and frameworks. It discusses the dimensions of big data including volume, velocity, variety, veracity, value and variability. It then describes the traditional approach to data processing and its limitations in dealing with large, complex data. Hadoop and its core components HDFS and YARN are introduced as the solution. Spark is presented as a faster alternative to Hadoop for processing large datasets in memory. Other frameworks like Hive, Pig and Presto are also briefly mentioned.

Postgres for Digital Transformation:NoSQL Features, Replication, FDW & MoreAshnikbiz

This document discusses how PostgreSQL can enable digital transformation. It notes that digital transformation involves developing new types of products/services rather than just enhancing existing systems, moving to microservices architectures, and adopting data platforms. It then outlines how PostgreSQL supports these changes through its document store capabilities, foreign data wrappers for integration with other data sources, replication server for high availability, and containerized deployment options. Case studies are presented showing how enterprises have realized performance improvements, cost savings, and near real-time data exchange using PostgreSQL's unified relational and non-relational features.

Brk3288 sql server v.next with support on linux, windows and containers was...Bob Ward

This document discusses Microsoft's plans to deliver SQL Server on Linux and other heterogeneous environments. Key points include: - SQL Server will be available on Linux, Windows, and Docker containers, allowing choice of operating system. It will support multiple languages and tools. - Microsoft is delivering more options in response to businesses adopting heterogeneous environments with various data types, languages, and platforms. - The document outlines SQL Server's capabilities on Linux such as high availability, security, and tools/drivers available now or in development.

IBM Internet-of-Things architecture and capabilitiesIBM_Info_Management

This document provides an overview of IBM's Internet of Things (IoT) architecture and capabilities. It discusses the key components of an IoT architecture including intelligent gateways, sensor analytics zones, and the deep analytics zone in the cloud. It describes how gateways can help IoT solutions by reducing cloud costs and latency through local analytics and filtering of sensor data. The document then outlines the requirements for databases in gateways, and explains how IBM's Informix database is well-suited to meet these requirements through its small footprint, low memory usage, support for time series and spatial data, and ability to ingest and analyze sensor data in real-time. Finally, it discusses how Informix can be used both in gateways and

Conceptos básicos. Seminario web 6: Despliegue de producciónMongoDB

QuerySurge Slide Deck for Big Data Testing WebinarRTTS

This is a slide deck from QuerySurge's Big Data Testing webinar. Learn why Testing is pivotal to the success of your Big Data Strategy . Learn more at www.querysurge.com The growing variety of new data sources is pushing organizations to look for streamlined ways to manage complexities and get the most out of their data-related investments. The companies that do this correctly are realizing the power of big data for business expansion and growth. Learn why testing your enterprise's data is pivotal for success with big data, Hadoop and NoSQL. Learn how to increase your testing speed, boost your testing coverage (up to 100%), and improve the level of quality within your data warehouse - all with one ETL testing tool. This information is geared towards: - Big Data & Data Warehouse Architects, - ETL Developers - ETL Testers, Big Data Testers - Data Analysts - Operations teams - Business Intelligence (BI) Architects - Data Management Officers & Directors You will learn how to: - Improve your Data Quality - Accelerate your data testing cycles - Reduce your costs & risks - Provide a huge ROI (as high as 1,300%)

IT Press Tour #17 - OpenIO & TechnologyOpenIO Object Storage

MongoDB 4.0 새로운 기능 소개Ha-Yang(White) Moon

This document provides an agenda and overview for a presentation on MongoDB 4.0. The presentation will cover what's new in MongoDB 4.0 including working with data, building distributed systems, enabling cloud data strategies, and serverless and mobile capabilities. It will also discuss the intelligent operational data platform provided by MongoDB for working with data, putting data where needed intelligently, and running applications anywhere.

Summer 2017 undergraduate research powerpointChristopher Dubois

EPAS + Cloud = Oracle Compatible Postgres in MinutesEDB

On this webinar, EnterpriseDB's Jamie Watt, VP of Global Support Services and Ajay Patel, Cloud Services Delivery Manager, will demonstrate how to launch on-demand Oracle compatible Postgres Databases in minutes on EDB Cloud Database Service (CDS). Specifically, the webinar covers the following: - Instant Provisioning, Scaling and Managing Postgres - Built-in Monitoring, High Availability, and Backup tools - Using Pre-defined templates for standard configurations

IBM IoT Architecture and Capabilities at the Edge and Cloud Pradeep Natarajan

IBM Informix is presented as the ideal database solution for IoT architectures due to its small footprint, low memory requirements, support for time series and spatial data, and driverless operation requiring no administration. It can run on gateways to filter and analyze sensor data locally before transmitting to the cloud. In the cloud, Informix can ingest streaming data in real-time, perform operational analytics, and scale out across servers. Benchmarks show Informix outperforming SQLite for IoT workloads in areas like data loading speed, storage requirements, and analytic query speeds.

Introduction to Google Cloud PlatformSujai Prakasam

This document provides an overview of Google Cloud Platform (GCP) services. It begins by explaining why GCP is underpinned by Google's infrastructure and innovation. It then outlines GCP's compute, networking, storage, big data, and machine learning services. These include Compute Engine, Container Engine, App Engine, load balancing, Cloud DNS, Cloud Storage, Cloud Datastore, Cloud Bigtable, Cloud SQL, BigQuery, Dataflow, Pub/Sub, Dataproc, and Cloud Datalab. Machine learning services such as Translate API, Prediction API, Cloud Vision API, and Cloud Speech API are also introduced.

Azure document db/Cosmos DBMohit Chhabra

This document provides an introduction to Azure DocumentDB, a NoSQL database service. It begins with an overview of the differences between SQL and NoSQL databases, focusing on how DocumentDB is a non-relational, horizontally scalable database that uses JSON documents. It then describes key aspects of DocumentDB such as its supported languages and frameworks, its HTTP REST API, how data is stored in JSON documents, and its resources and hierarchical structure. The document also covers querying data using SQL and the services' indexing and consistency capabilities.

Azure DocumentDB OverviewAndrew Liu

DocumentDB is a fast, globally distributed, multi-model NoSQL database service. It provides automatic scaling of storage and throughput, high availability across regions, flexible data models, and developer productivity with support for SQL and JavaScript queries. Customers can use DocumentDB for building scalable applications that need to handle large volumes of data across any number of regions worldwide with low latency and high availability.

2014.10.22 Building Azure Solutions with Office 365Marco Parenzan

This document discusses building Azure solutions with Office 365. It provides an overview of Microsoft Azure services including compute, storage, networking and identity services. It also discusses Office 365 APIs for integrating with calendar, mail and contacts. Code samples are shown for accessing these APIs through REST calls and a library that abstracts away the REST requests. The document concludes with a demonstration of an application that integrates Office 365 and Azure services.

Data saturday malta - ADX Azure Data Explorer overviewRiccardo Zamana

Oracle OpenWo2014 review part 03 three_paa_s_databaseGetting value from IoT, Integration and Data Analytics

This document provides a summary of Oracle OpenWorld 2014 discussions on database cloud, in-memory database, native JSON support, big data, and Internet of Things (IoT) technologies. Key points include: - Database Cloud on Oracle offers pay-as-you-go pricing and self-service provisioning similar to on-premise databases. - Oracle Database 12c includes an in-memory option that can provide up to 100x faster analytics queries and 2-4x faster transaction processing. - Native JSON support in 12c allows storing and querying JSON documents within the database. - Big data technologies like Oracle Big Data SQL and Oracle Big Data Discovery help analyze large and diverse data sets from sources like

Mongo db 3.4 OverviewNorberto Leite

Getting started with postgresqlbotsplash.com

USQL Trivadis Azure Data Lake EventTrivadis

Big Data trainingvishal192091

Postgres for Digital Transformation:NoSQL Features, Replication, FDW & MoreAshnikbiz

Brk3288 sql server v.next with support on linux, windows and containers was...Bob Ward

IBM Internet-of-Things architecture and capabilitiesIBM_Info_Management

Conceptos básicos. Seminario web 6: Despliegue de producciónMongoDB

QuerySurge Slide Deck for Big Data Testing WebinarRTTS

IT Press Tour #17 - OpenIO & TechnologyOpenIO Object Storage

MongoDB 4.0 새로운 기능 소개Ha-Yang(White) Moon

Summer 2017 undergraduate research powerpointChristopher Dubois

EPAS + Cloud = Oracle Compatible Postgres in MinutesEDB

IBM IoT Architecture and Capabilities at the Edge and Cloud Pradeep Natarajan

Introduction to Google Cloud PlatformSujai Prakasam

Azure document db/Cosmos DBMohit Chhabra

Azure DocumentDB OverviewAndrew Liu

2014.10.22 Building Azure Solutions with Office 365Marco Parenzan

Data saturday malta - ADX Azure Data Explorer overviewRiccardo Zamana

Oracle OpenWo2014 review part 03 three_paa_s_databaseGetting value from IoT, Integration and Data Analytics

More from GlobalLogic Ukraine (20)

GlobalLogic JavaScript Community Webinar #21 “Інтерв’ю без заспокійливих”GlobalLogic Ukraine

Сучасні технічні інтерв’ю можуть викликати хвилювання навіть у досвідчених кандидатів. Вимоги, які постійно зростають, нові інструменти, дедалі жорсткіший відбір — це лише частина викликів. Під час цієї доповіді ви отримаєте відповіді на всі важливі питання щодо підготовки та проходження інтерв’ю. Відео та деталі заходу: https://bit.ly/4gjriMV

Deadlocks in SQL - Turning Fear Into Understanding (by Sergii Stets)GlobalLogic Ukraine

GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...GlobalLogic Ukraine

Під час доповіді відповімо на питання, навіщо потрібно підвищувати продуктивність аплікації і які є найефективніші способи для цього. А також поговоримо про те, що таке кеш, які його види бувають та, основне — як знайти performance bottleneck? Відео та деталі заходу: https://bit.ly/45tILxj

GlobalLogic Embedded Community x ROS Ukraine Webinar "Surgical Robots"GlobalLogic Ukraine

Доповідь присвячена медицині майбутнього, малоінвазивній хірургії: розглянемо рішення із використанням роботів хірургів. Оглянемо інструментарій та звернемо увагу на речі, які можна відтворити для експериментів у домашніх умовах.

GlobalLogic Java Community Webinar #17 “SpringJDBC vs JDBC. Is Spring a Hero?”GlobalLogic Ukraine

Доповідь присвячена розгляду Spring JDBC у порівнянні зі стандартним JDBC у Java. Спікерка покаже на конкретних прикладах розподіл логіки коду за класами та як використання Spring JDBC скорочує кількість коду, який необхідно написати, і чому це відбувається. Відео та деталі заходу: https://bit.ly/3wqEjCx

GlobalLogic JavaScript Community Webinar #18 “Long Story Short: OSI Model”GlobalLogic Ukraine

Ця доповідь зацікавить усіх, хто хоче заповнити прогалини у базових знаннях чи підтягнути теорію з університету. Під час доповіді ми дізнаємось, що таке модель OSI та розглянемо кожен її рівень. Як результат, ви краще розумітимете свою область відповідальності як Front-end, Back-end, DevOps чи системний адміністратор. Відео та деталі заходу: https://bit.ly/47T4QWI

Штучний інтелект як допомога в навчанні, а не замінник.pptxGlobalLogic Ukraine

Про що лекція: - Як використовувати штучний інтелект у навчанні - Обмеження та недоліки використання AI - Рекомендації щодо відповідального використання AІ в навчанні. Огляд кращих прикладів. Спікер: Оксана Поморова — Lead Software Engineer, GlobalLogic, доктор технічних наук з 20-річним досвідом в IT. Напрям діяльності — застосування штучного інтелекту та комп’ютерний зір.

Задачі AI-розробника як застосовується штучний інтелект.pptxGlobalLogic Ukraine

Про що лекція: - Пошук схожих зображень за допомогою ШІ - Як ШІ видаляє задній фон на фото. Розв’язання задачі сегментації. - Ефективне навчання ШІ на основі великого масиву даних (фото). Спікер: Олександр Мірошниченко, Senior Software Engineer, має понад 7 років досвіду в ІТ. Напрям діяльності — нейронні мережі та Deep Learning.

Що треба вивчати, щоб стати розробником штучного інтелекту та нейромереж.pptxGlobalLogic Ukraine

Про що лекція: - Що таке штучний інтелект зсередини та чим зумовлена його популярність - Напрями розвитку штучного інтелекту: які є та як обрати свій - Які знання необхідні, щоб стати розробником штучного інтелекту Спікер: Василь Ляшкевич — Solution Architect, GlobalLogic, PhD в компʼютерних науках, має понад 15 років досвіду в ІТ. Напрям діяльності — розробка алгоритмів і засобів штучного інтелекту, хмарних систем та сервісів.

GlobalLogic Java Community Webinar #16 “Zaloni’s Architecture for Data-Driven...GlobalLogic Ukraine

20 липня відбувся вебінар від Java Community – “Zaloni’s Architecture for Data-Driven Design” by Максим Дем’яновський — Software Engineer, GlobalLogic. Доповідь надасть уявлення про Data-Driven Design, основні його переваги і практичну користь, а також покаже як його можна реалізувати на практиці.

JavaScript Community Webinar #14 "Why Is Git Rebase?"GlobalLogic Ukraine

25 квітня відбувся вебінар від JavaScript Community – “Why Is Git Rebase?” Ганна Ліхтман — Senior Software Engineer, GlobalLogic. Під час вебінару дізнались, що таке git history, та чому важливо тримати її в чистоті і порядку. Яка різниця між merge та rebase. Що таке інтерактивний rebase та в чому його сила не тільки на словах, але й на практиці.

GlobalLogic .NET Community Webinar #3 "Exploring Serverless with Azure Functi...GlobalLogic Ukraine

29 березня відбувся вебінар від .NET Community – “Exploring Serverless with Azure Functions”. Спікер: Євген Павленко – Senior Software Engineer, GlobalLogic. Поговорили на ті теми: - Вступ до Azure Functions та Serverless; - Типи хмарного обчислення; - Переваги serverless; - Функції та можливості Azure Functions.

Страх і сила помилок - IT Inside від GlobalLogic EducationGlobalLogic Ukraine

Ви дізнаєтесь: - Що знаходиться за кулісами успішного успіху; - Страх, що контролює тебе та робота з ним; - Звідки береться невпевненість у власних силах; - Чого власні помилки демотивують. ℹ️IT Inside — це серія 30-хвилинних лекцій для охочих розпочати кар'єру в ІТ. Наші експерти відкриють залаштунки айтішного життя, обговорять поширені думки про ІТ-сферу й розкажуть те, що самі б хотіли почути на старті кар'єри. 🎬Переглянути записи попередніх лекцій IT Inside (https://youtube.com/playlist?list=PLipGbz33Ay3H5ynlB0YQ6P-16IX-pRvce).

GlobalLogic .NET Webinar #2 “Azure RBAC and Managed Identity”GlobalLogic Ukraine

24 листопада відбувся вебінар від .NET Community – “Azure RBAC and Managed Identity”. Спікер: Євген Павленко – Senior Software Engineer, GlobalLogic. Розповіли, що таке Azure RBAC (Role Base Access Control) і як він працює, для чого нам Azure Managed Identity та як звільнитись від використання паролів-секретів при використанні Azure. Деталі заходу: https://bit.ly/3GSBvRx Відкриті .NET-позиції у GlobalLogic: https://bit.ly/3ilJYCq Долучитись до .NET Community у Facebook: https://www.facebook.com/groups/communitydotnet

GlobalLogic QA Webinar “What does it take to become a Test Engineer”GlobalLogic Ukraine

“How to Secure Your Applications With a Keycloak?GlobalLogic Ukraine

GlobalLogic Machine Learning Webinar “Advanced Statistical Methods for Linear...GlobalLogic Ukraine

31 травня відбувся вебінар для ML-спеціалістів - “Advanced Statistical Methods for Linear Regression” від спікера Віталія Мірошниченка! Ця доповідь для тих, хто добре ознайомлений із найпоширенішими моделями даних та підходами у машинному навчанні і хоче розширити знання іншими підходами. У доповіді ми розглянули: - Нагадування. Модель лінійної регресії і підгонка параметрів; - Навчання батчами (великі об’єми вибірок); - Оптимізація розрахунків у каскаді моделей; - Модель суміші лінійних регресій; - Оцінки методом складеного ножа матриць коваріацій. Про спікера: Віталій Мірошниченко — Senior ML Software Engineer, GlobalLogic. Має більше 6 років досвіду, який отримав здебільшого на проєктах, пов’язаних із Telecom, Cyber security, Retail. Активний учасник змагань Kaggle, та Аспірант КНУ. Деталі заходу: https://bit.ly/3HkqhDB Відкриті ML позиції у GlobalLogic: https://bit.ly/3MPC9yo

GlobalLogic Machine Learning Webinar “Statistical learning of linear regressi...GlobalLogic Ukraine

24 травня відбувся GlobalLogic Machine Learning Webinar “Statistical learning of linear regression model” від спікера Віталія Мірошніченка. Під час вебінару ми обговорили такі теми: - Модель лінійної регресії; - Підгонка параметрів моделі (custom, sklearn, scipy); - Основні теореми та асимптотика параметрів; - Дискриптивні статистики (візуалізація результатів); - Тести та їх інтерпретація; - Приклади з Machine Learning. Відео та деталі заходу - https://www.globallogic.com/ua/about/events/statistical-learning-of-linear-regression-model/?utm_source=youtube-organic&utm_medium=social&utm_campaign=statistical-learning-of-linear-regression-model Попередня реєстрація на GL BaseCamp - https://bit.ly/BaseCampwaitinglist

GlobalLogic C++ Webinar “The Minimum Knowledge to Become a C++ Developer”GlobalLogic Ukraine

18 травня відбувся GlobalLogic C++ Webinar “The Minimum Knowledge to Become a C++ Developer” від спікера Романа Івасишина. У доповіді ми розглянули: - Список тем, які повинен знати С++ розробник (синтаксис мови, класи, STL, а також дізнались, для чого вчити темплейти та багатопотоковість); - На що потрібно звернути увагу при вивченні мови; - Деякі приховані аспекти мови; - Практичні приклади з С++. Відео та деталі заходу: https://bit.ly/3Gxmkee Приєднатись до спільноти: https://www.facebook.com/groups/EmbeddedCommunity Відкриті C++ позиції у GlobalLogic: https://bit.ly/3GzW03c

Embedded Webinar #17 "Low-level Network Testing in Embedded Devices Development"GlobalLogic Ukraine

22 лютого відбувся Embedded Webinar #17 “Low-level Network Testing in Embedded Devices Development” від спікера Сергія Корнієнка. Під час вебінару ми говорили на такі теми: - Підхід до низькорівневого тестування мережевих протоколів; - Інструменти, які можна використати в реальних проєктах; - Знайдені баги та способи знаходження корневих причин на прикладі реального R&D проєкту. Відео та деталі заходу: https://bit.ly/embedded_webinar_17 Приєднатись до спільноти: https://www.facebook.com/groups/EmbeddedCommunity Відкриті Embedded-позиції у GlobalLogic: https://bit.ly/Embedded_Positions