Qubole

Introduction As the Big Data stack has matured, many companies have started using large clusters for running business-critical applications. Workloads in such clusters are often…

As a part of my summer internship project at Qubole, I worked on an open-source Hive JDBC storage handler (GitHub). This project helped me improve…

Big Data Big data is getting bigger and more chaotic every day. Thanks to the Internet, social media, mobile devices, and other technologies, massive volumes…

We are always striving to add features to simplify the experience of our customers using Qubole Data Service (QDS). One of the major features asks…

With Qubole on AWS, any size organization can become data-driven with self-service access to the latest big data technologies MOUNTAIN VIEW, Calif., July 1, 2015—Qubole,…

When it comes to big data analytics, Hadoop has been heralded as the all-in-one solution for the enterprise. And while the many benefits of Hadoop…

Introduction As part of a recent project – I had to experiment with CUBE functionality in Hive. This functionality was added somewhat recently to Hive…

To truly experience growth in the future, most businesses are turning to big data. In many cases, big data is seen as the new trend…

  The way businesses operate is rapidly changing every single day. Perhaps no example better illustrates this than the rapid growth and adoption of big…

Running Hadoop clusters efficiently is an important customer use case at Qubole. When running in AWS, this often means using Spot instances efficiently. In this…

We’re excited to announce that Apache Hadoop 2.6.0, the latest stable release* of Apache Hadoop, is now generally available on Qubole. Hadoop 2.6.0 is compatible…

The benefits of big data analytics are no longer debatable. Businesses large and small are enjoying greater profitability and competitive advantage through the capture, management,…