Although not immediately obvious, C++ is used in Big Data along with Java, MapReduce, Python, and Scala. For example, if you’re using a Hadoop framework, it will be implemented in Java, but MapReduce ...

MapReduce was invented by Google in 2004, made into the Hadoop open source project by Yahoo! in 2007, and now is being used increasingly as a massively parallel data processing engine for Big Data.

To many, Big Data goes hand-in-hand with Hadoop + MapReduce. But MPP (Massively Parallel Processing) and data warehouse appliances are Big Data technologies too. The MapReduce and MPP worlds have ...

“Python is a very easy language to learn for non-programmers,” said Peter Wang, president of Continuum Analytics. That’s important because most big-data analysts will probably not be ...

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.

SQL-Driven Data Ingestion: Enhancing Big Data Pipelines With Python Automation In an era where data drives decision-making and innovation, the ability to effectively manage and process vast ...

Spotting Big Data trends, without MapReduce Big Data is not always about Hadoop, and it's not always about new technologies.