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Hadoop is about helping big data become more mainstream to support current enterprise needs and use cases. It’s about the vibrance of the community, the continued innovation, and the value of our platform, Hortonworks Data Platform (HDP). Hadoop has been embraced and is also at the core of all the cloud providers including Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Big Data Machine Learning Free Workshop in Chennai
Microsoft uses Hortonworks Data Platform under the hood for Azure HDInsight, their managed Hadoop-as-a-Service platform and IBM, uses HDP as their core Hadoop platform. In addition, with the recent release of Hadoop 3.1, there are some incredible innovations around containerization, GPU support, erasure coding and improvements in intra-queue preemption to prioritize jobs based on user limits and/or application priority. There are so many more innovations in this latest release!
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shows the the Hadoop market is expected to reach $87 billion by 2022 developing at a CAGR of almost 50% from 2017 to 2022. Although these numbers differ slightly, they are all pointing in the direction of growth!. Big Data Machine Learning Free Workshop in Chennai
As the product marketing lead for Hortonworks Data Platform who has been with Hortonworks for the last 3 years, I need to speak out in support of Apache Hadoop and all the innovation surrounding it. Over these last 3 years, I have seen interest in Hadoop and big data turn more mainstream to the point where we no longer just speak about Apache Hadoop. Hadoop is much more than HDFS and MapReduce. At present, with the explosion of data due to increasing use of electronic devices has necessitated the adoption of a reliable tool to manage and utilize this data. Hadoop is one of these tools!
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