"'Let's write directly to that, being a SQL-type database, where we then put big-data analytics on top of the SQL capabilities of Actian Hadoop. So I find it quite exiting, which is sad really." ...

Relational databases are well-suited to conventional data analysis such as reporting and classical statistical analysis (what you learned in the college Statistics 101 class, for example).

There's no lack of database choices when it comes to building your next big data analytics platform. Relational data stores, column-oriented databases, in-memory data grids, graph databases, scale-out ...

Developers who want to analyze big, fast-moving machine data without the complexity of a NoSQL database have another option in CrateDB, an open source, scale-out SQL database that just became ...

With growth in unstructured big data, RDBMS is inadequate for big data analytics. Know how to use SQL and MapReduce for big data analytics, instead.

In addition, Big Data SQL is only compatible with version 12c of the Oracle database, which was released last year. Most Oracle database customers are still running versions 11g and earlier.

Looker, provider of a BI platform, has added support for Presto and Spark SQL as well as updates to its support for Impala and Hive.. Looker allows enterprises to describe, define and analyze the data ...

SQream Technologies, provider of the world's fastest big data analytics database, today announced the release of GenomeStack™, its latest innovative platform developed specifically for genome research ...

As part of the 2020 Big Data 100, we’ve put together a list of database system companies – from established vendors to those in startup mode – that solution providers should be aware of.They ...

Practical SQL queries are central to data analysis, including selecting films, finding special features, listing active customers, and more. Homework assignments reinforce learning through ...