InfoQ Homepage NoSQL Content on InfoQ
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Chris Fregly on the PANCAKE STACK Workshop and Data Pipelines
InfoQ Interviews Chris Fregly, organizer for the 4000+ member Advanced Spark and TensorFlow Meetup about the PANCAKE STACK workshop, Spark and building data pipelines for a machine learning pipeline
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Virtual Panel: Current State of NoSQL Databases
NoSQL databases have been around for several years now and have become a choice of data storage for managing semi-structured and unstructured data. These databases offer lot of advantages in terms of linear scalability and better performance for both data writes and reads. InfoQ spoke with four panelists to get different perspectives on the current state of NoSQL databases.
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Martin Van Ryswyk on DataStax Enterprise Graph Database
DataStax recently announced a new product called DataStax Graph to store graph data models. It's based on open source Titan graph database and uses Apache Tinkerpop framework's Gremlin query language. InfoQ spoke with Martin Van Ryswyk about the new product.
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Unified Data Modeling for Relational and NoSQL Databases
Current enterprise data architectures include NoSQL databases co-existing with relational databases. However, NoSQL data management currently lacks mature methods and tools to manage NoSQL data. In this article, author discusses a solution for managing both NoSQL and relational databases using Unified Data Modeling techniques.
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Using Redis as a Time Series Database: Why and How
In this article, Dr. Josiah Carlson, author of the book “Redis in Action”, explains how to use Redis and sorted sets with hashes for time series analysis.
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Philip Rathle on Neo4j 2.3 Graph Database Features and openCypher Initiative
Neo Technology, the company behind the graph NoSQL database Neo4j, recently released version 2.3 of the database. They also announced openCypher initiative to help with creating a standard graph query language. InfoQ spoke with Philip Rathle, VP of Products at Neo Technology, about the new features in the latest release of Neo4j and openCypher announcement.
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Key Lessons Learned from Transition to NoSQL at an Online Gambling Website
In this article, author Dan Macklin discusses the transition to Riak NoSQL and Erlang based architecture coupled with Convergent Replicated Data Types (CRDTs) and lessons learned with the transition.
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Big Data Solutions with MS SQL ColumnStore Index
Columnar data storage can offer significant performance improvements over the way database tables are traditionally stored, but they aren’t always faster. Aleksandr Shavlyuga explores the power, and limitations of SQL Server’s ColumnStore Indexes.
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Breaking Down Data Silos with Foreign Data Wrappers
Author Lenley Hensarling discusses the Foreign Data Wrapper (FDW) feature in Postgres database. FDW provides a SQL interface for accessing data objects in remote data stores to integrate data from disparate sources like NoSQL databases and bring them into a common model.
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Big Data as a Service, an Interview with Google's William Vambenepe
Many of the Big Data technologies in common use originated from Google and have become popular open source platforms, but now Google is bringing an increasing range of big data services to market as part of its Google Cloud Platform. InfoQ caught up with Google's William Vambenepe, who's lead product manager for Big Data services to ask him about the shift towards service based consumption.
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NoSQL For Mere Mortals Review and Author Q&A
Addison-Wesley Professional NoSQL for Mere Mortals provides an introduction to NoSQL databases spanning across the major types of databases that fall under the NoSQL umbrella and explaining both advantages and shortcomings that each database type offers. InfoQ has spoken with the book's author, Dan Sullivan.
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DevOps is Not a Feature!
DevOps is the industrialization of IT, says Nati Shalom. Organizations that wish to optimize for speed and cost cannot afford silos anymore."Doing DevOps" is not adding new features to existing tools. In this article, Shalom takes us through the differences between management solutions in a pre and post DevOps world.