This document provides an introduction to Microsoft Azure DocumentDB. It discusses how DocumentDB is a non-relational or NoSQL database that stores data in JSON documents. It also overview how DocumentDB provides scalability, high availability, and fast performance for large document workloads. Key features of DocumentDB discussed include its resource and interaction models, indexing, consistency options, querying capabilities, and support for JavaScript transactions.
This document discusses unlocking the LOCKSS system with APIs to make it more interoperable and enable integration with other digital preservation systems. It describes opportunities to integrate polling/repair functionality, repository replication, and access features through APIs. The goal is to reduce costs by leveraging open-source software, aligning with web archiving standards, and enabling external systems to interact with LOCKSS components through a web services architecture. This will help LOCKSS scale and evolve with changes on the web.
Sharing our best secrets: Design a distributed system from scratchAdelina Simion
The document summarizes a system design workshop for designing a note-taking application called TechyNotes. The workshop covers defining system requirements and interfaces, discussing database and storage options, designing initial and revised system architectures, and addressing scalability bottlenecks. Attendees learn a repeatable process for system design and discuss technologies like databases, load balancing, caching, and queues.
The document discusses front-end databases and IndexedDB. It provides an overview of IndexedDB, describing it as an advanced key-value data management system that allows storage of large numbers of objects locally and fast insertion/extraction. It outlines some of IndexedDB's capabilities and limitations. The document then details aspects of the IndexedDB API like opening a database, creating object stores and indexes, performing transactions, and using cursors. It notes the API is verbose and asynchronous. Finally, it recommends libraries like PouchDB that provide a simpler wrapper for IndexedDB and discusses the presenter's angular2-indexeddb library.
MongoDB is a document database that stores data in BSON format, which is similar to JSON. It is a non-relational, schema-free database that scales easily and supports massive amounts of data and high availability. MongoDB can replace traditional relational databases for certain applications, as it offers dynamic schemas, horizontal scaling, and high performance. Key features include indexing, replication, MapReduce and rich querying of embedded documents.
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.
The document discusses three OpenStack services: Identity (Keystone), Object Storage (Swift), and Image Service (Glance). Keystone provides authentication and authorization through tenants, users, roles and tokens. Swift provides object storage through accounts, containers and objects stored on object servers. Glance stores and manages virtual machine disk images and their metadata.
This document provides an introduction to Microsoft Azure DocumentDB. It discusses how DocumentDB is a non-relational or NoSQL database that stores data in JSON documents. It also overview how DocumentDB provides scalability, high availability, and fast performance for large document workloads. Key features of DocumentDB discussed include its resource and interaction models, indexing, consistency options, querying capabilities, and support for JavaScript transactions.
This document discusses unlocking the LOCKSS system with APIs to make it more interoperable and enable integration with other digital preservation systems. It describes opportunities to integrate polling/repair functionality, repository replication, and access features through APIs. The goal is to reduce costs by leveraging open-source software, aligning with web archiving standards, and enabling external systems to interact with LOCKSS components through a web services architecture. This will help LOCKSS scale and evolve with changes on the web.
Sharing our best secrets: Design a distributed system from scratchAdelina Simion
The document summarizes a system design workshop for designing a note-taking application called TechyNotes. The workshop covers defining system requirements and interfaces, discussing database and storage options, designing initial and revised system architectures, and addressing scalability bottlenecks. Attendees learn a repeatable process for system design and discuss technologies like databases, load balancing, caching, and queues.
The document discusses front-end databases and IndexedDB. It provides an overview of IndexedDB, describing it as an advanced key-value data management system that allows storage of large numbers of objects locally and fast insertion/extraction. It outlines some of IndexedDB's capabilities and limitations. The document then details aspects of the IndexedDB API like opening a database, creating object stores and indexes, performing transactions, and using cursors. It notes the API is verbose and asynchronous. Finally, it recommends libraries like PouchDB that provide a simpler wrapper for IndexedDB and discusses the presenter's angular2-indexeddb library.
MongoDB is a document database that stores data in BSON format, which is similar to JSON. It is a non-relational, schema-free database that scales easily and supports massive amounts of data and high availability. MongoDB can replace traditional relational databases for certain applications, as it offers dynamic schemas, horizontal scaling, and high performance. Key features include indexing, replication, MapReduce and rich querying of embedded documents.
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.
The document discusses three OpenStack services: Identity (Keystone), Object Storage (Swift), and Image Service (Glance). Keystone provides authentication and authorization through tenants, users, roles and tokens. Swift provides object storage through accounts, containers and objects stored on object servers. Glance stores and manages virtual machine disk images and their metadata.
This document provides an introduction to FaunaDB, a next-generation cloud database. It discusses what FaunaDB is, why it was created, how it compares to traditional SQL databases, and provides a quick overview of the Fauna Query Language (FQL). Key points include that FaunaDB combines the simplicity of NoSQL with the ability to model complex relationships, provides ACID transactions, and supports various data modeling approaches including graph, relational, temporal and document structures.
MongoDB Security Features document provides an overview of MongoDB's security features including authentication using SCRAM or X.509, role-based authorization, TLS/SSL encryption, auditing, and client-side field level encryption. The document compares MongoDB to RDBMS and outlines where MongoDB excels including for web applications, semi-structured content management, and high-speed logging and analytics. It also lists practical tasks for implementing authentication, access control, and SSL/TLS in MongoDB and references additional MongoDB security resources.
Rich Internet Applications and Flex - 3Vijay Kalangi
This document discusses Rich Internet Applications using Flex. It covers topics such as externalizing and loading data, using the HTTPService object and security sandboxes, working with XML and XMLList, binding data, using data formatters and validators, implementing models and views, incorporating controls and containers, using ActionScript within MXML, following the MVC pattern, debugging, and refactoring code. The document provides an overview of key concepts for building Rich Internet Applications with the Flex framework.
Globus Online aims to simplify big data transfer and sharing by providing a user-friendly interface similar to Dropbox. It allows reliable and secure transfer of large research files between different storage systems with high performance. Users can easily share data with others without needing to move files to cloud storage. Globus Online uses Globus Connect software to integrate various local storage systems and networks with its centralized platform, enabling Dropbox-like simplicity for scientific data management and collaboration.
Java experts from Red Hat, TomiTribe, Payara, London Java Group, SouJava and IBM came together on a panel to answer your questions on microservices and MicroProfile.
- Learn more about MicroProfile and it’s importance to the future of Enterprise Java.
- Discover why these organizations are collaborating on this initiative and how MicroProfile can shape the future of microservices.
Build robust streaming data pipelines with MongoDB and Kafka P2Ashnikbiz
Kafka is an event streaming solution designed for boundless streams of data that sequentially write events into commit logs, allowing real-time data movement between your services. The MongoDB database is built for handling massive volumes of heterogeneous data. Together MongoDB and Kafka make up the heart of many modern data architectures today.
Database plays a critical role in event-driven architectures. While events flow through Kafka in an append-only stream, MongoDB helps the consumer to proactively make streams of data from the source systems available in real time.
The MongoDB Connector for Kafka simplifies building a robust, streaming event pipeline.
Build 2017 - P4010 - A lap around Azure HDInsight and Cosmos DB Open Source A...Windows Developer
Recently, we released the Spark Connector for our distributed NoSQL service – Azure Cosmos DB (formerly known as Azure DocumentDB). By connecting Apache Spark running on top Azure HDInsight to Azure Cosmos DB, you can accelerate your ability to solve fast-moving data science problems and machine learning. The Spark to Azure Cosmos DB connector efficiently exploits the native Cosmos DB managed indexes and enables updateable columns when performing analytics, push-down predicate filtering against fast-changing globally-distributed data, ranging from IoT, data science, and analytics scenarios. Come learn how you can perform blazing fast planet-scale data processing with Azure Cosmos DB and HDInsight.
Windows Azure IaaS - Mit Cloud Computing Ideen schneller umsetzenPeter Kirchner
Microsoft Azure cloud services have over 5.5 billion queries per month from 280 million connected users. There are over 50 million active Office Web Apps users and 4 trillion objects stored in Azure Storage. Microsoft supports development, management, identity, virtualization and data platform cloud services across 32 languages and 88 markets.
Code Camp - Building a Glass app with Wakandatroxell
A description of using the Mirror API (Google) and WakandaDB.
Source code here: https://github.com/lyle/GlassWakanda
Original Reveil Slides: http://talks-2013.lyle.troxell.com/
A talk that discusses two topics regarding Elasticsearch - multitenancy and scalability and what are the technical details to achieving them efficiently
Encryption is widely used by companies to secure sensitive data. It comes in different varieties and purposes. There's symmetric vs asymmetric encryption, there's encryption at rest, in transit and in use, there's TDE vs record-level encryption vs column/field level encryption, and then there's key-encryption (wrapping). All of these varieties serve different purposes and use-cases that we review - from the point of view of an infosec person, a sysadmin, a developer and an architect.
NoSQL databases were created to address the limitations of relational databases in handling big data. NoSQL databases are non-relational, schema-less, and provide better performance than relational databases by sacrificing features like joins, complex transactions and validation constraints. Common types of NoSQL databases include key-value stores, document stores, and tabular databases. MongoDB is an example of a popular document store database that stores data in JSON-like documents rather than in tables.
Azure DocumentDB is a NoSQL document database service designed from the ground up to natively support JSON and JavaScript directly inside the database engine. It’s the right solution for applications that run in the cloud when predictable throughput, low latency, and flexible query are key. Microsoft consumer applications like MSN use DocumentDB in production to support millions of users.
WiredTiger is a new open source database engine designed for modern hardware and big data workloads. It provides high performance, low latency access to data stored either in RAM or on disk through its row-store, column-store, and log-structured merge tree storage engines. WiredTiger supports ACID transactions, standard isolation levels, and flexible storage and configuration options to optimize for different workloads and data access patterns. Initial benchmarks show WiredTiger provides up to 50% cost savings compared to other databases for the same workload.
The leaderboard adds a whole new dimension to your video game. It's a means of building rivalry between players and deepening their engagement with the game. But, like most things in gaming, building a leaderboard comes with its own technical challenges.
The document compares NoSQL and SQL databases. It notes that NoSQL databases are non-relational and have dynamic schemas that can accommodate unstructured data, while SQL databases are relational and have strict, predefined schemas. NoSQL databases offer more flexibility in data structure, but SQL databases provide better support for transactions and data integrity. The document also discusses differences in queries, scaling, and consistency between the two database types.
Why Organizations are Looking at Alternative Database Technologies – Introduc...DATAVERSITY
This webinar will first walk through the main forces driving developers and IT organizations to adopt non-relational or NoSQL databases. Next it will cover the key concepts and terminology used in the NoSQL space. Finally, using MongoDB as an example, the webinar will highlight examples of how organizations have put NoSQL technology to use in order to drive their business objectives.
SQL vs NoSQL, an experiment with MongoDBMarco Segato
A simple experiment with MongoDB compared to Oracle classic RDBMS database: what are NoSQL databases, when to use them, why to choose MongoDB and how we can play with it.
Full Stack Visibility with Elastic provides concise summaries of how the Elastic Stack products of Beats, Logstash, Elasticsearch, and Kibana can provide full stack visibility across logs, metrics, and traces from applications in containerized and Kubernetes environments. The Elastic Stack uses Beats to ship operational data to Elasticsearch for analysis and visualization in Kibana. Autodiscovery in Metricbeat and Filebeat can detect new services and configure monitoring automatically based on container metadata. The Elastic APM agent collects application traces that can be correlated with logs and metrics for full stack observability.
Adoption of MongoDB has accelerated tremendously among developers in the past 18 months, and many large enterprises have now deployed MongoDB in reliable and large scale production environments. However, for many developers, it remains a challenge to convince production teams and business stakeholders to adopt an open source technology that has not been certified yet by their IT teams. This session will provide you with the compelling arguments to reassure business and production teams such as:
Public customer references and real-world case studies (migration, and adoption stories)
Deployment support and practices for robustness
How MongoDB contributes to your company’s business value
This document provides an introduction to FaunaDB, a next-generation cloud database. It discusses what FaunaDB is, why it was created, how it compares to traditional SQL databases, and provides a quick overview of the Fauna Query Language (FQL). Key points include that FaunaDB combines the simplicity of NoSQL with the ability to model complex relationships, provides ACID transactions, and supports various data modeling approaches including graph, relational, temporal and document structures.
MongoDB Security Features document provides an overview of MongoDB's security features including authentication using SCRAM or X.509, role-based authorization, TLS/SSL encryption, auditing, and client-side field level encryption. The document compares MongoDB to RDBMS and outlines where MongoDB excels including for web applications, semi-structured content management, and high-speed logging and analytics. It also lists practical tasks for implementing authentication, access control, and SSL/TLS in MongoDB and references additional MongoDB security resources.
Rich Internet Applications and Flex - 3Vijay Kalangi
This document discusses Rich Internet Applications using Flex. It covers topics such as externalizing and loading data, using the HTTPService object and security sandboxes, working with XML and XMLList, binding data, using data formatters and validators, implementing models and views, incorporating controls and containers, using ActionScript within MXML, following the MVC pattern, debugging, and refactoring code. The document provides an overview of key concepts for building Rich Internet Applications with the Flex framework.
Globus Online aims to simplify big data transfer and sharing by providing a user-friendly interface similar to Dropbox. It allows reliable and secure transfer of large research files between different storage systems with high performance. Users can easily share data with others without needing to move files to cloud storage. Globus Online uses Globus Connect software to integrate various local storage systems and networks with its centralized platform, enabling Dropbox-like simplicity for scientific data management and collaboration.
Java experts from Red Hat, TomiTribe, Payara, London Java Group, SouJava and IBM came together on a panel to answer your questions on microservices and MicroProfile.
- Learn more about MicroProfile and it’s importance to the future of Enterprise Java.
- Discover why these organizations are collaborating on this initiative and how MicroProfile can shape the future of microservices.
Build robust streaming data pipelines with MongoDB and Kafka P2Ashnikbiz
Kafka is an event streaming solution designed for boundless streams of data that sequentially write events into commit logs, allowing real-time data movement between your services. The MongoDB database is built for handling massive volumes of heterogeneous data. Together MongoDB and Kafka make up the heart of many modern data architectures today.
Database plays a critical role in event-driven architectures. While events flow through Kafka in an append-only stream, MongoDB helps the consumer to proactively make streams of data from the source systems available in real time.
The MongoDB Connector for Kafka simplifies building a robust, streaming event pipeline.
Build 2017 - P4010 - A lap around Azure HDInsight and Cosmos DB Open Source A...Windows Developer
Recently, we released the Spark Connector for our distributed NoSQL service – Azure Cosmos DB (formerly known as Azure DocumentDB). By connecting Apache Spark running on top Azure HDInsight to Azure Cosmos DB, you can accelerate your ability to solve fast-moving data science problems and machine learning. The Spark to Azure Cosmos DB connector efficiently exploits the native Cosmos DB managed indexes and enables updateable columns when performing analytics, push-down predicate filtering against fast-changing globally-distributed data, ranging from IoT, data science, and analytics scenarios. Come learn how you can perform blazing fast planet-scale data processing with Azure Cosmos DB and HDInsight.
Windows Azure IaaS - Mit Cloud Computing Ideen schneller umsetzenPeter Kirchner
Microsoft Azure cloud services have over 5.5 billion queries per month from 280 million connected users. There are over 50 million active Office Web Apps users and 4 trillion objects stored in Azure Storage. Microsoft supports development, management, identity, virtualization and data platform cloud services across 32 languages and 88 markets.
Code Camp - Building a Glass app with Wakandatroxell
A description of using the Mirror API (Google) and WakandaDB.
Source code here: https://github.com/lyle/GlassWakanda
Original Reveil Slides: http://talks-2013.lyle.troxell.com/
A talk that discusses two topics regarding Elasticsearch - multitenancy and scalability and what are the technical details to achieving them efficiently
Encryption is widely used by companies to secure sensitive data. It comes in different varieties and purposes. There's symmetric vs asymmetric encryption, there's encryption at rest, in transit and in use, there's TDE vs record-level encryption vs column/field level encryption, and then there's key-encryption (wrapping). All of these varieties serve different purposes and use-cases that we review - from the point of view of an infosec person, a sysadmin, a developer and an architect.
NoSQL databases were created to address the limitations of relational databases in handling big data. NoSQL databases are non-relational, schema-less, and provide better performance than relational databases by sacrificing features like joins, complex transactions and validation constraints. Common types of NoSQL databases include key-value stores, document stores, and tabular databases. MongoDB is an example of a popular document store database that stores data in JSON-like documents rather than in tables.
Azure DocumentDB is a NoSQL document database service designed from the ground up to natively support JSON and JavaScript directly inside the database engine. It’s the right solution for applications that run in the cloud when predictable throughput, low latency, and flexible query are key. Microsoft consumer applications like MSN use DocumentDB in production to support millions of users.
WiredTiger is a new open source database engine designed for modern hardware and big data workloads. It provides high performance, low latency access to data stored either in RAM or on disk through its row-store, column-store, and log-structured merge tree storage engines. WiredTiger supports ACID transactions, standard isolation levels, and flexible storage and configuration options to optimize for different workloads and data access patterns. Initial benchmarks show WiredTiger provides up to 50% cost savings compared to other databases for the same workload.
The leaderboard adds a whole new dimension to your video game. It's a means of building rivalry between players and deepening their engagement with the game. But, like most things in gaming, building a leaderboard comes with its own technical challenges.
The document compares NoSQL and SQL databases. It notes that NoSQL databases are non-relational and have dynamic schemas that can accommodate unstructured data, while SQL databases are relational and have strict, predefined schemas. NoSQL databases offer more flexibility in data structure, but SQL databases provide better support for transactions and data integrity. The document also discusses differences in queries, scaling, and consistency between the two database types.
Why Organizations are Looking at Alternative Database Technologies – Introduc...DATAVERSITY
This webinar will first walk through the main forces driving developers and IT organizations to adopt non-relational or NoSQL databases. Next it will cover the key concepts and terminology used in the NoSQL space. Finally, using MongoDB as an example, the webinar will highlight examples of how organizations have put NoSQL technology to use in order to drive their business objectives.
SQL vs NoSQL, an experiment with MongoDBMarco Segato
A simple experiment with MongoDB compared to Oracle classic RDBMS database: what are NoSQL databases, when to use them, why to choose MongoDB and how we can play with it.
Full Stack Visibility with Elastic provides concise summaries of how the Elastic Stack products of Beats, Logstash, Elasticsearch, and Kibana can provide full stack visibility across logs, metrics, and traces from applications in containerized and Kubernetes environments. The Elastic Stack uses Beats to ship operational data to Elasticsearch for analysis and visualization in Kibana. Autodiscovery in Metricbeat and Filebeat can detect new services and configure monitoring automatically based on container metadata. The Elastic APM agent collects application traces that can be correlated with logs and metrics for full stack observability.
Adoption of MongoDB has accelerated tremendously among developers in the past 18 months, and many large enterprises have now deployed MongoDB in reliable and large scale production environments. However, for many developers, it remains a challenge to convince production teams and business stakeholders to adopt an open source technology that has not been certified yet by their IT teams. This session will provide you with the compelling arguments to reassure business and production teams such as:
Public customer references and real-world case studies (migration, and adoption stories)
Deployment support and practices for robustness
How MongoDB contributes to your company’s business value
This document provides an overview of DevOps tools and practices in the Microsoft world, focusing on Visual Studio Team Services. It describes how VSTS can be used for planning, source code management with Git repositories, code reviews via pull requests, continuous integration builds, and managing build definitions, artifacts, agents, and variables. VSTS supports work tracking with work items, backlogs, boards and linking work to code. It also allows for collaboration via integrated IDEs and notifications.
C* Summit 2013: Searching for a Needle in a Big Data Haystack by Jason Ruther...DataStax Academy
The presentation demonstrates how Solr may be used to create real-time analytics applications. In addition, Datastax Enterprise 3.0 will be showcased, which offers Solr version 4.0 with a number of improvements over the previous DSE release. A realtime financial application will run for the audience, and then a detailed look at how the application was built. An overview of Datastax Enterprise Solr features will be given, and how the many enhancements in DSE make it unique in the marketplace.
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%)
Introduction to Microservices with Docker and KubernetesDavid Charles
Slides used to accompany a talk to introduce Microservices and two related technologies; Docker and Kubernetes. A large part of this talk is a live demonstration of Docker and Kubernetes features so the slides are just to support.
Polyglot Persistence Utilizing Open Source Databases as a Swiss Pocket KnifeSeveralnines
Art Van Scheppingen - vidaXL & Bart Oles - Severalnines AB
Over the past few years, VidaXL has become a European market leader in the online retail of slow moving consumer goods. When a company achieved over 50% year over year growth for the past 9 years, there is hardly enough time to overhaul existing systems. This means existing systems will be stretched to the maximum of their capabilities, and often additional performance will be gained by utilizing a large variety of datastores.
Polyglot persistence reigns in rapidly growing environments and the traditional one-size-fits-all strategy of monoglots is over.
VidaXL has a broad landscape of datastores, ranging from traditional SQL data stores, like MySQL or PostgreSQL alongside more recent load balancing technologies such as ProxySQL, to document stores like MongoDB and search engines such as SOLR and Elasticsearch.
- MongoDB is well-suited for systems of engagement that have demanding real-time requirements, diverse and mixed data sets, massive concurrency, global deployment, and no downtime tolerance.
- It performs well for workloads with mixed reads, writes, and updates and scales horizontally on demand. However, it is less suited for analytical workloads, data warehousing, business intelligence, or transaction processing workloads.
- MongoDB shines for use cases involving single views of data, mobile and geospatial applications, real-time analytics, catalogs, personalization, content management, and log aggregation. It is less optimal for workloads requiring joins, full collection scans, high-latency writes, or five nines u
Session #2, tech session: Build realtime search by Sylvain Utard from AlgoliaSaaS Is Beautiful
This document provides an overview of building a real-time search engine. It discusses how search engines work by indexing documents to build an inverted index optimized for queries. When a query is received, the inverted index is used to quickly match and rank relevant documents. The document then describes moving from a mobile SDK to a hosted search as a service (SaaS) and the technical considerations for scaling the SaaS such as architecture, security, and operations.
This talk will cover lessons learned at Community Engine regarding MongoDB, including: why we moved away from an Hybrid solution using SQL and MongoDB; an outline of the technologies and what we learned using MongoDB on Amazon Web Services; the MongoDB C# driver; MongoDB with SOLR for Full Text Search; how we do migration, deployment and more.
This document discusses the standardization of JavaScript across client and server environments. It outlines the history and roles of organizations like W3C, IETF, ECMA, and WHATWG in developing web standards. It describes how CommonJS and implementations like Node.js, RingoJS, and SilkJS have standardized JavaScript modules and APIs for servers. Many W3C web APIs can now be used both client-side through workers and server-side, improving code sharing across environments.
This document discusses Apache Dremio, an open source data virtualization platform that provides self-service SQL access to data sources like Elasticsearch, MongoDB, HDFS, and relational databases. It aims to make data analytics faster by avoiding the need for data staging, warehouses, cubes, and extracts. Dremio uses techniques like reflections, pushdowns, and a universal relational algebra to optimize queries and leverage caches. It is based on projects like Apache Drill, Calcite, Arrow, and Parquet and can be deployed on Hadoop or the cloud. The presentation includes a demo of using Dremio to create datasets, curate/prepare data, accelerate queries with reflections, and manage resources.
EDB's Migration Portal - Migrate from Oracle to PostgresEDB
This document discusses migrating from Oracle to PostgreSQL. It begins with an agenda that includes an EDB overview, reasons to migrate, components of a successful migration, and what EDB offers to help. EDB provides tools like PostgreSQL with Oracle compatibility features, migration portals and toolkits, and management products to aid in migrating from Oracle to their PostgreSQL platform. The presentation demonstrates migration tools and discusses identifying good candidates for migration and challenges to consider.
The Evolution of Open Source DatabasesIvan Zoratti
The document provides an overview of the evolution of open source databases from the past to present and future. It discusses the early days of navigational and hierarchical databases. It then covers the development of relational databases and SQL. It outlines the rise of open source databases like MySQL, PostgreSQL, and SQLite. It also summarizes the emergence of NoSQL databases and NewSQL systems to handle big data and cloud computing. The document predicts continued development and blending of features between SQL, NoSQL, and NewSQL databases.
Putting the Native in React Native - React Native NYCstan229
This document discusses React Native, a library that allows developers to build native mobile apps using React. It provides an overview of React Native, how it works, and its architecture. Key points include:
- React Native uses React to bind JavaScript code to native iOS and Android components. This allows apps to run at near full speed.
- The architecture includes a JavaScript thread that communicates with the native SDK via a message queue on the main thread.
- Early adopters of React Native included Facebook, which used it to build their mobile apps.
- React Native has a similar architecture for both iOS and Android, using bridges to connect JavaScript and native components.
- Native code can be blended with React Native by embedding native
Pimping the ForgeRock Identity Platform for a Billion UsersForgeRock
This document discusses strategies for scaling the ForgeRock identity platform to support 1 billion users. It describes how ForgeRock Directory Services provides a specialized, centralized, secure, highly available, and high-throughput identity store. It has been benchmarked to support 500 million users and tested to support 3 billion users over 1 week. The document also discusses how ForgeRock products are evolving to support cloud-native architectures with horizontal scalability, simplified replication, and data sharding to further increase capabilities.
"NoSQL on the move" by Glynn Bird
Mobile-first app web development is a solved problem, but how can you websites and apps the continue to work with little or internet connectivity? Discover how Offline-first development allows apps to present an "always on" experience for their user
Denodo Partner Connect: Technical Webinar - Ask Me AnythingDenodo
Watch full webinar here: https://buff.ly/47jH4lk
In this session, Denodo experts will cover a deeper dive into the top 5 differentiated use cases for Denodo by answering any questions since the previous session.
Additionally, we invite partners to bring any general questions related to Denodo, the Denodo Platform, or data management.
Kadhambari Anbalagan, a software architect at RedBlackTree Terrace, will give a talk on Monday, April 8th at 5:00pm about security best practices for mobile apps. Research shows that the majority of top free and paid apps have been subjected to hacking. Common mobile app security issues include improper platform usage, insecure data storage, insecure communication, insecure authentication, insufficient cryptography, insecure authorization, code quality issues, code tampering, reverse engineering, and including extraneous functionality. The talk will provide best practices to address each of these issues.
The Mobile ToolChain with Fastlane - Code Red Talk at RedBlackTreeRedBlackTree
Fastlane is a tool that automates beta deployments and releases for iOS & Android apps. It generates screenshots, takes care of code signing, and uses simple commands. To install Fastlane, use Homebrew to install and then run fastlane init in your project directory. This will create a Fastfile and other files in a fastlane folder to configure build scripts. Typical Fastlane scripts contain lanes for different build processes, like incrementing build numbers, building with gym, uploading to Testflight with testflight, and uploading screenshots to iTunes Connect with deliver. These scripts can be run with commands like fastlane beta or fastlane appstore to streamline the deployment process compared to using Xcode alone.
There are three main navigation components in React Native: NavigatorIOS, Navigator, and NavigationExperimental. Navigator is the most widely used and supports navigation on both Android and iOS with easy and predictable navigation. It uses an initial route, route stack, and render scene method. The Navigator object is passed by reference and can be used to edit navigation and pass data between scenes using methods like push, pop, and replace. Back button handling on Android can be done through the BackAndroid component as an event listener.
Couchbase Chennai Meetup 2 - Couchbase - MobileRedBlackTree
A set of case studies on Mobile solutions using Couchbase. This was from a presentation done by Anish Mathew, Architect at RedBlackTree, at the 2nd Couchbase Chennai Meetup.
Couchbase Chennai Meetup 2 - Big Data & AnalyticsRedBlackTree
Couchbase can be used for various big data applications by providing real-time performance, easy integration with other technologies like Hadoop and Storm, and scalability. Specifically, it is discussed as a solution for cookie analytics, user activity tracking, fraud detection, and managing internet of things devices. Couchbase provides low latency, high availability, and ability to generate views of large and streaming datasets in under a minute.
Performance testing with Apache JMeterRedBlackTree
The document discusses performance testing using JMeter. It covers the focus of performance testing including speed, scalability, and stability. It explains why performance testing is needed to uncover issues before product release. Different types of performance testing are described like load, stress, soak, spike, and volume testing. An overview is provided of JMeter including its open source nature, server types supported, and work flow. Key concepts in JMeter are explained such as test script recording, HTTP Cookie Manager, load analysis using thread groups and listeners, using assertions, controllers, timers, correlation, HTML link parsing, and data-driven testing with CSV files.
The presentation slide deck from the talk on Couchbase Mobile given by Anish K Mathew and Kadhambari Anabalagan at the Couchbase Chennai Meetup, Dec, 2015 in Chennai, India.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
What is Augmented Reality Image Trackingpavan998932
Augmented Reality (AR) Image Tracking is a technology that enables AR applications to recognize and track images in the real world, overlaying digital content onto them. This enhances the user's interaction with their environment by providing additional information and interactive elements directly tied to physical images.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
E-commerce Development Services- Hornet DynamicsHornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
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✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
2. <CodeRed> Talks
• What is Druid ?
• Terminology
• Data Structure
• Druid Architecture
• Query Structure
3. <CodeRed> Talks
• Development started at Meta markets in 2011
• Apache V2 in early 2015
• Druid-0.9.2 , Latest release 19 days ago
• 150+ contributors today
4. • Column-oriented distributed datastore
• Sub-Second query times
• Realtime streaming ingestion
• Automatic Data Summarization
• Highly available
• Scalable to petabytes of data
• Native query language is JSON
<CodeRed> Talks
5. Architected as a grouping of systems each with a
distinct role and together they form a working system.
• Historical Node
• Coordinator nodes
• Broker nodes
• Indexing Service nodes
• Realtime nodes
<CodeRed> Talks