Concurrent and data Artisans Join Forces to knock-out Complexities Surrounding Big Data Strategies
SAN FRANCISCO, CA: The value of high dimensional data application is shifting to top gear while integrating with the new state-of-the-art computational fabrics. Progressing in the same direction, data application infrastructure provider, Concurrent will be joining hands with data Artisans, a developer of the large-scale data analysis technology solutions to offer support for Cascading on Apache Flink.
The joint venture is a simplistic approach in dealing with investments related to technical uncertainties. In a better way to address the business demands, Cascading ecosystem will be giving users the advantage of taking decisions. Hence, Apache Flink fits as an ideal option for enterprise architects to make calls on which compute engine runs its big data technology stack. In a time when Cascading applications commands high performance and low latency batch processing, Apache Flinks promises to support massive scale batch workloads.
Being a community driven effort in next-gen compute fabrics, it eliminates redundancy in data processing applications by making space for risk averse users. The platform opens up a scope to integrate legacy compute engines with Apache Flink, and eventually get benefited from its speed, scale and resiliency. Customers can also take advantage of its intuitive portability options across programming languages (Java, SQL, Scala), Hadoop distributions (Cloudera, Hortonworks, MapR) and now compute fabrics.
Cascading has turned out to be the trusted choice of solution for data application platform for building and deploying data applications on Hadoop. Concrrent’s application performance management product, Driven also stands out in delivering business and operational visibility and control to organizations that need to deliver operational excellence.
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