The sixth release of Apache Sqoop i.e. 1.4.7 is out! This is one of the most significant updates to the Sqo...
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The sixth release of Apache Sqoop i.e. 1.4.7 is out! This is one of the most significant updates to the Sqoop platform. We give you… The post Apache Sqoop 1.4.7 – 9 reasons why you need it...
Introduction ETL workloads form a major component of big data processing at any data-driven organization – from SMBs to enterprises, and ETL data pipelines at… The post Hive on Qubole runs 4x...
The data on big data -- what engines are used most, for what, and which are the rising stars.
Ensighten was able to decouple their compute from storage and handle user-level management and permissions across a variety of Spark, Hadoop and Presto with Qubole
By using Qubole Data Platform, DataXu can put its big data processing tasks on auto-pilot
Komli saw improvements in big data processing, lower total cost of ownership, faster performance and unlimited scale at a lower cost with Qubole
TubeMogul was able to scale up to meet the demands of queries against large data sets with as many as 30 users running queries simultaneously.
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 over files in a data lake via Ap
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… The post Qubole...
Qubole is the first and only vendor to deliver Hive 3.1.1 in the cloud
Key considerations for building a scalable transactional data lake Data-driven companies are driving rapid business transformation with cloud data lakes. Cloud data lakes are enabling… The post...
Technical overview of Qubole's HiveServer2 solution that distributes memory-intensive processes and enables scalability
Restrict the visibility of commands to other users in the Qubole account by setting command access to private
Speakers: - Ben Pence, Software Engineer, Twitter - Anton Panasenko, Software Engineer, Twitter Presentation: Every day at Twitter, hundreds of thousands of Hadoop jobs transform and aggregate petaby
The big data ecosystem is insanely complex — just making sense of the right tools and technologies can be more difficult than data mining itself.… The post Embrace Big Data Choice: Curate and...
Over the course of the next month, we will be going deeper into some of the trends uncovered in our 2018 Big Data Activation Report.… The post Evolution of Hadoop appeared first on Qubole.
How to scale Apache Hive and make the most of Hive performance