Learn how to use SQL and NoSQL data together for advanced analytics such as machine learning and data mining, what are the benefits and challenges, and what are some tools and techniques.

There are many document and column-oriented NoSQL databases, e.g. MongoDB, HBase and Couchbase. Read more about how VoltDB stacks up vs. other database solutions. Alternate data models in NoSQL ...

But there is one slight issue with NoSQL. You can’t use SQL. SQL is the lingua franca of the business analyst. SQL is easy. SQL has been around for an eternity. SQL is taught in many courses at ...

It's not so much a black and white, SQL vs. NoSQL situation, of course: TokBox still kept SQL databases around. That's where his team fed portions of Hadoop output for analysts to query more easily.

Some NoSQL products can use SQL-like syntax to work with data, but only to a limited extent. For example, Apache Cassandra, a wide column store, has its own SQL-like language, the Cassandra Query ...

In this webinar, you'll learn how to create real-time big data architectures that combine NoSQL for operational data access, Spark for streaming analytics, Kafka for distributed messaging, and Hadoop ...

SQL databases with in-memory column stores, NoSQL with query languages; it looks like the two schools of database design have begun to merge.

Data storage solutions are a crucial aspect of any application, significantly impacting data management and system performance. This article explores the rationale behind utilizing both SQL and NoSQL ...