Datameer 6 provides a new user experience for iterative analytics and a re-architected, future-proof back end supporting Apache Spark.

Coded in Scala, Spark makes it possible to process data from data sources such as Hadoop Distributed File System, NoSQL databases, or relational data stores like Apache Hive.

StreamSets, Inc., provider of a DataOps platform for modern data integration, has released StreamSets Transformer, a simple-to-use, drag-and-drop UI tool to create native Apache Spark applications.

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 ...

The solution to that is Spark Connect, which takes Sparks’ DataFrame and SQL APIs and creates a language-agnostic binding for it, based on gRPC and Apache Arrow, Xin said. Spark Connect was originally ...

Analytics Apache Spark Python. ... When running Spark in Standalone mode, the Spark master process serves a web UI on port 8080 on the master host, as shown in Figure 6. Pearson Addison-Wesley.

For data engineers looking to leverage Apache Spark™'s immense growth to build faster and more reliable data pipelines, Databricks is happy to provide The Data Engineer's Guide to Apache Spark. This ...

Users can now map their Spark data frame into a Hugging Face dataset for integration into training pipelines. With this feature, Databricks and Hugging Face aim to simplify the process of creating ...