Shaunak Kashyap looks at several well-understood concepts and SQL queries from the relational paradigm and maps these to their Elasticsearch equivalents.
Christian Tzolov shows different integration approaches between HAWQ and GemFire, showing using Spring XD to ingest GemFire data into HDFS and using Spring Boot to implement a RESTful proxy for HAWQ.
Paul King reviews the features in Groovy which make it easy to work with databases - Groovy SQL, datasets -, and working with NoSQL databases such as MongoDB and Neo4J.
Michael Widenius walks through the features of MariaDB 10.0 and 10.1, outlining the performance benefits resulting from switching to MariaDB.
Dean Wampler takes a look at SQL’s resurgence and specific example technologies, including: NewSQL, Hybrid SQL, SQL abstractions on top of file-based data, SQL as a functional programming language.
John Leach explains using HBase co-processors to support a full ANSI SQL RDBMS without modifying the core HBase source, showing how Hadoop/HBase can replace traditional RDBMS solutions.
Ted Dunning discusses the different options for running SQL on Hadoop including pros and cons.
Frank Moley introduces Spring Data and how to use it for applications connected to either RDBMS or NoSQL databases.
Volker Pacher, Sam Phillips present key differences between relational databases and graph databases, and how they use the later to model a complex domain and to gain insights into their data.
In this solutions track talk, sponsored by MongoDB, Matt Asay discusses the differences between some of the NoSQL and SQL databases and when Hadoop makes sense to be used with a NoSQL solution.
Anthony Saxby introduces the new capabilities added to SQL Server, SQL Server PDW and HDInsight in the first half of 2014.
Ken Kousen advises Java developers how to do similar tasks in Groovy: building and testing applications, accessing both relational and NoSQL databases, accessing web services, and more.