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Hive Bucketing vs Partitioning

Hive Bucketing Example With Okera

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.
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How to Connect Tableau Using a JDBC Standalone Configuration

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.
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Getting started on ODAS with PyOkera and Jupyter

At Okera we like to say “bring your own compute” to your ODAS-enabled data lake.
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Leveraging PyOkera’s Usage of Client-Side Concurrency

PyOkera is our Python client library that provides customers with the ability to integrate their LOB applications directly into an Okera cluster.
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User Guide: Replacing ‘componentWillReceiveProps’ with ‘getderivedstatefromprops’

React is in the process of deprecating a lifecycle method we used quite a bit at Okera, namely componentWillReceiveProps.
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Using Java Lambda Expressions

In Java 8, Lambda expressions were introduced, which is Java’s first step towards support for functional programming.
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Modern SDLC @ Okera

One of the important goals for software organizations is to create more efficient, repeatable and predictable processes that serve as a long term sustainable methodology for the business.
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Using JWTs To Secure Your App

When writing client/server applications, it is often necessary that a service restricts data to a set of trusted users.
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Access Control Views – Best Practices

This blog post continues the topic of Schema Design Best Practices and focuses on the access control view layer.
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Database Schema Design Examples & Best Practices

Database schema design is an important part of achieving successful data organization and optimal data management.
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