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 ...

Zeppelin’s collaborative data analytics and visualization capabilities makes data exploration, visualization, sharing, and collaboration easy over distributed, general-purpose data processing systems ...

ZEPL, the startup founded by the creators of interactive data analytics tool Apache Zeppelin, has moved its multi-tenant analytics platform out of beta, announcing its general availability this week.

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 ...

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.

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 ...

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 ...