With Zeppelin, you can pull data from multiple sources (like Oracle, Solr, and MongoDB) and analyze them with tools like Apache Spark. You can write some of your code in Scala, some in R ...

Apache Zeppelin supports most modern day frameworks—from Spark, Cassandra, MongoDB, Elastic Search—as well as standard relational databases (Oracle, MySQL) with its JDBC interpreter.

Along with its multi-language backend, the release includes built-in Apache Spark integration that eliminates the need ... interactive query service and a JDBC driver. Along with Apache Zeppelin, ZEPL ...

Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming ...

and Apache Spark, among other Big Data platforms. “With Apache Zeppelin, a wide range of users can make beautiful data-driven, interactive, and collaborative documents with SQL, Scala, and more,” ...

Zeppelin supports both Spark and Apache Hive out-of-the-box and produces rich visualizations that can be shared. It’s integrated with the major cloud infrastructure platforms and Hadoop ...

One of the biggest new benefits is the addition of Apache Zeppelin notebooks, popular with data engineers and those running database queries on Spark/Hive and JDBC data sources. Zeppelin includes ...

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 ...

Apache Spark 2.0 is now generally available on the Databricks data platform. The company touts five to 10x performance increases over Spark 1.6 and new support for continuous applications with ...

allowing Spark SQL to be used -- from notebooks or elsewhere -- to query data in Apache HBase. Microsoft says that overall, this new Hive implementation can improve performance over twenty five ...