Cascading has emerged as a proven open source application development platform for building big data applications on Hadoop with more than 10,000 production deployments and growing.
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Driven is the industry’s first performance management solution for Hadoop and Spark applications. It provides the deep insights and visibility you need to manage the performance of all your Big Data applications.
Quick 2-min overview of the key capabilities of Driven, performance management for Big Data applications.
You built Cascading/Scalding apps to mine all that data you collected in Hadoop. But just when you were seeing results, something went wrong — the app broke, data flows stopped, and business came to a halt.
Developing big data applications can be a complex task with multiple data sources, complex joins, filtering and cleansing steps. This complexity often makes it hard for developers to understand if they have connected all the pieces together properly and testing starts to become more art than science.
Imagine if you could stop stringing together Hadoop Jobtracker, log files, and half a dozen other tools to try to understand what is happening with your big data applications.
Apache Hive queries and MapReduce jobs often experience performance issues and bottlenecks because of the multi-tenant nature of Hadoop and a lack of visibility into performance.
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