FOR IMMEDIATE RELEASE New Release from Driven, Inc. Delivers End-to-End Monitoring and Management for Hadoop and Spark Applications Running in Any Environment, Anywhere SAN FRANCISCO – Jun. 21, 2016 – Driven Inc., formerly Concurrent, Inc., the leader in Big Data application performance monitoring (APM), today announced the next version of Driven. Driven 2.2 delivers to […]
Read More...The Driven team is excited to be sponsoring Hadoop Summit San Jose We will be at Hadoop Summit San Jose from 6/28 – 6/30. If you are planning on going but have not registered, use discount code: 16SJspO20 for a 20% registration discount. While you are there, stop by Booth E10 to See a demo […]
Read More...We are happy to announce Cascading 3.1 is now available for download. Version 3.1 improves the performance of Cascading over 3.0, resolves a number of issues during planning of complex workloads when running on MapReduce and Apache Tez, and further delivers on the promise of new platform portability with the addition of Apache Flink as […]
Read More...More organizations are successfully moving their Hadoop big data applications to production and leveraging the power of their big data. A recent study by DNV GL – Business Assurance and research institute GFK Eurisko concluded that some organizations are starting to see results in the areas of greater efficiency, improved decision making, and more effective […]
Read More...Enterprises that are using big data applications to successfully accelerate their growth will quickly find themselves leaning on their solution more than they ever imagined. For managers and practitioners in the DevOps department, this business-wide reliance on big data can be both a blessing and a curse. In a business environment where 0% downtime is […]
Read More...The Big Data technology landscape seems to grow daily with new solutions to solve almost any problem. Most organizations use, on average, five different technologies to run a single data processing application including Hive, Spark, Oozie, H2O, etc. The challenge for Hadoop operations teams is how do you manage and monitor these data applications to […]
Read More...SAN FRANCISCO – March. 8, 2016 – Driven, Inc., the leader in Hadoop application performance management, today announced the latest release of Driven, the industry’s leading application performance management solution for monitoring and managing enterprise-scale Big Data applications. Key features of Driven 2.1 include: Deeper Support for Hive: You can now monitor all the queries running […]
Read More...We are very happy to see that today the Apache Flink community reached an important milestone in the life of their project: The 1.0 release. Apache Flink reaching 1.0 was a long and complicated process, so a considerable achievement, especially for a project that aims to cover all aspects of data processing: Streaming, Batch, SQL, […]
Read More...Offloading ETL processes to Hadoop is often one of the first Big Data efforts because of the obvious ROI benefits. However, you have hundreds, maybe thousands, of legacy ETL processes to migrate which makes achieving the benefits of Hadoop and ROI a distant goal. What if you could automatically convert up to 70% of your […]
Read More...The truth is that no application will maintain perfect performance in its lifetime. We all know application performance can be influenced by a number of environmental variables and by other applications behavior. Optimizing performance is something that should (but not always does) happen during the development cycle but needs to continue throughout the lifetime of […]
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