| | February 20178CIOReviewopinionin myBy Boni Bruno, Chief Solutions Architect, Dell EMCData and analytics are taking center stage as the single most powerful catalyst for change in the enterprise. To maximize the impact of Business Intelligence, CIOs have to build and execute an effective, holistic data and analytics strategy. As strategies develop, CIOs will inevitably have to take a closer look at their information management programs and platforms to ensure support for larger data sets, real-time data analytics, and an increasing use of machine-learning algorithms to maintain a competitive edge in the market. In many cases, Hadoop provides the perfect framework to meet the growing demands CIOs are being faced with in their perspective companies.At Dell EMC (Dell EMC is just one business unit of Dell Technologies), we have helped over 2000 large enterprises implement big data and analytics solutions using Hadoop in production environments. Looking at Hortonworks Revenue Report for 2016 as one indicator of Hadoop growth and adoption, the company reported its best year yet at $184.5 million for 2016 with $52 million in Fourth quarter revenue. Cloudera does not release details Hadoop: The Biggest Catalyst of Change!of its financials, but between Hortonworks and Cloudera alone, Dell EMC has sold more than $200 million in infrastructure equipment in 2016 specifically for Hadoop deployments, this excludes revenue from analytics deals obtained with Tick Data Analytics, SAS, Splunk, and others. This effort has led to Dell EMC winning Hortonworks recently announced Global Strategic Alliance of the Year Award. Bottom line--Hadoop growth and adoption is significant and a key focus area for Dell EMC and its many customers.So what's driving Hadoop growth and adoption? From my perspective, there are three key drivers for adopting Hadoop : Firstly, Enterprise Data Warehouse Optimization, secondly, Streaming Analytics and IoT, and then we have Attack/Threat Detection. Growth and Adoption of HadoopEnterprise Data Warehouse (EDW) exists in many enterprises. As datasets increase, many CIOs are finding the capacities of their EDW systems being exhausted--load processing times are too long, SLA's are not being met, and ultimately the delivery of critical business intelligence is impacted. By moving resource intensive ETL processes to Hadoop, CIOs can free up valuable CPU cycles on their EDW system and improve Boni Bruno
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