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  • Virtual Panel: Current State of NoSQL Databases

    by Srini Penchikala on  Aug 02, 2016 1

    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.

  • Martin Van Ryswyk on DataStax Enterprise Graph Database

    by Srini Penchikala on  May 17, 2016 1

    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.

  • Big Data Solutions with MS SQL ColumnStore Index

    by Aleksandr Shavlyuga on  Oct 11, 2015

    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.

NoSQL For Mere Mortals Review and Author Q&A

Posted by Sergio De Simone on  Jun 16, 2015

NoSQL for Mere Mortals introduces the major types of databases that fall under the NoSQL umbrella and explains both their advantages and shortcomings. Review and interview with the author. 2

Practical Cassandra: A Developer's Approach - Book Review and Interview

Posted by Srini Penchikala on  Aug 21, 2014

Practical Cassandra: A Developer's Approach book is a developer's guide to build applications using Cassandra NoSQL database. InfoQ spoke with authors about the book and data modeling in Cassandra.

Building a Real-time, Personalized Recommendation System with Kiji

Posted by Jon Natkins on  Dec 26, 2013

Jon Natkins explains in this article how to create a personalized recommendation system fed with large amounts of real-time data using Kiji, which leverages HBase, Avro, Map-Reduce and Scalding.

Implementing Lucene Spatial Support

Posted by Boris Lublinsky on  Jan 13, 2012

In this article, Boris Lublinsky shows how to extend Hbase - based Lucene implementation with geospatial search support.

Integrating Lucene with HBase

Posted by Boris Lublinsky, Mike Segel on  Dec 29, 2011

In this article, authors, Boris Lublinsky and Mike Segel suggest an approach for using HBase as a scalable back end for Lucene Search. 3

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