Apache Hive is an open-source data warehouse system used to query and analyze large datasets. Data in Apache Hive can be categorized into tables, partitions, and buckets.
One great benefit of the Okera platform is its client-compute flexibility. Today you can integrate a variety of tools — Python, EMR, Cloudera CDH, Databricks, Hive, Spark, Presto, and more — with an ODAS cluster.
At Okera we like to say “bring your own compute” to your ODAS-enabled data lake.
PyOkera is our Python client library that provides customers with the ability to integrate their LOB applications directly into an Okera cluster.
This blog post continues the topic of Schema Design Best Practices and focuses on the access control view layer.