How to Leverage AWS Spot Instances While Mitigating the Risk of Loss
|April 19, 2021
This blog post is part one of an upcoming series about the unique benefits provided by Qubole when leveraging Spot instances. Reducing cloud infrastructure costs…
Joydeep Sen Sarma
Qubole launches Pipelines Service to democratize streaming analytics
|August 18, 2020
Data Engineers and Enterprises continue to struggle with Stream Processing at scale. In our extensive discussions with customers and partners, we repeatedly found the following…
Qubole Open-Sources Multi-Engine Support for Updates and Deletes in Data Lakes
|September 22, 2019
Qubole now supports efficient updates and deletes for data stored in Cloud data lakes. Users can make inserts, updates and deletes on transactional Hive Tables—defined…
Honored to Receive the SIGMOD Systems Award for Apache Hive
|June 22, 2018
Qubole co-founders Ashish Thusoo and Joydeep Sen Sharma were recently awarded the SIGMOD Software Systems Award for developing a seminal software system—Apache Hive—that brought relational-style…
Data Platforms 2017: How to Make Data Analytics Look Easy
|June 14, 2017
QuData is full of valuable information just waiting to be extracted with the right approach. For most companies, that’s easier said than done. Cloud and…
Job Scheduling in Hadoop – A 7 Year Perspective
|April 25, 2014
In a recent presentation at Flipkart’s 2014 SlashN conference, I summarized seven years of progress in Hadoop and Big Data. In its beginning stages, Hadoop exhibited…
Qubole Available on Google Compute Engine
|December 7, 2013
Qubole is a leading provider of Hadoop as a service with the mission of providing a simple, integrated, high-performance big data stack that businesses can…
Sqoop as a Service
|December 26, 2012
Background: As Qubole Data Service has gained adoption – many of our customers asked for import and export facility from their relational data sources into…
Industry’s First Auto-Scaling Hadoop Clusters
|June 17, 2012
Background In 2009 I first started playing around with Hive and EC2/S3. I was blown away by the potential of the cloud. But it bothered…
