Building on last month’s release of Apache Hadoop 2.2, big data application platform specialist Concurrent today released a new version of Cascading, its big data application framework. “I created ...

Streaming is hot. The demand for real-time data processing is rising, and streaming vendors are proliferating and competing. Apache Kafka is a key component in many data pipeline architectures, mostly ...

Hadoop is big, but there’s no doubt that the game changer will be marrying SQL— the primary language used by business analysts for ad hoc analysis—with Hadoop. If you don’t want the information in ...

What if you could break free from subscription fees, vendor lock-in, and row limits while still managing your data with the ease of a spreadsheet? Better Stack walks through how an open source ...

Apache Spark's Structured Streaming brings SQL querying capabilities to data streams, allowing you to perform scalable, real-time data processing. Redis Streams, the new data structure introduced in ...

Developers can now leverage real-time data using standard ANSI SQL, with new functionality including elastic storage separated from compute, strict-serializability, active replication and horizontal ...

In previous columns, we’ve noted that the SQL language is in the ascendant. New SQL native databases such as CockroachDB and Yugabyte are showing robust adoption, while non-relational (NoSQL) ...

Historically, if you wanted to report against all of the business operations of your company, it was a very expensive ordeal. At ClearVoice, we needed to be able to collect data across many platforms, ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...

Despite the growth of “NoSQL” databases over the past few years, SQL is going nowhere isn’t going anywhere. In fact, it seems Structured Query Language is in ascendance in a realm that once seemed ...