This tutorial introduces you to Apache Spark, ... Note that it shows how to write the Spark code in both Java 7 and Java 8. I’ll discuss highlights of both below. Listing 2.

Spark code is also much more efficient than MapReduce code, allowing developers to write concise routines in a variety of languages using APIs for Scala, Java, Python, and R. Spark’s productivity ...

Low-Code Apache Spark and Delta Lake . Even though Spark and Delta are the perfect basis for your future data pipeline, and the Data Lakehouse architecture allows us to enable a tremendous amount of ...

Pepperdata now also offers a solution for Spark automation with last week's release of Pepperdata Code Analyzer for Apache Spark (PCAAS), but addressing a different audience with a different strategy.

Get the source code for the example applications demonstrated in this article: “Aggregating with Apache Spark.” Created by Ravishankar Nair for JavaWorld.

A year ago, Microsoft enabled .NET developers to work with Apache Spark using C# or F#, instead of Python or Scala. More functionality and performance enhancements have since been layered on. The ...

But Spark is not without bugs, and that’s why we need the community. The community keeps patching bugs that they find. And sometimes new bugs creep in. So it’s still a very fast development project ...

In this video, Rick Janowski from IBM describes how the company is doubling down on Apache Spark for Big Data analytics. “At the core of this commitment, IBM plans to embed Spark into its ...

Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in ...

Low-Code Apache Spark and Delta Lake. Historically, the need for cost-effective storage, performant processing, and low-latency querying required a two-tier architecture: a data lake for raw storage ...