| | July 20178CIOReviewn the era of ever exploding data volume and the realization of the value this data can bring to business, IT organizations have an upheav-ing challenge to capture and store all forms of data to derive insights from them. Faced with humongous volume and the heterogene-ous types of data, organizations need more than just a traditional data management or a data warehouse. They need something innovative that can offer better agility and flexibility to manage their Big Data. With the exposure to cloud based technologies, busi-nesses are uniquely positioned to be more informed than ever before; they want to make better data-driven deci-sions and in turn expect that the latest analytic technolo-gies be available at their finger-tips. The super connected net-work of people, processes, data and tools is dis-rupting both the implementation and consump-tion of traditional data management and its analytics. IT now needs tore-position itself towards a more efficient, cost-effective, self-service model to meet these demands.Data Lakeis a relatively a new and increasingly popu-lar way to store and analyze data that addresses many of these challenges. A Data Lake is a pool of unstructured and structured data coming from different sources, stored as-is, without a specific purpose in mind, that can be "built on multiple technologies such as Hadoop, NoSQL,any Sim-ple Storage Service, a relational database, or vari-ous combinations thereof," saved on usually low commodity hardware.With the growing popularity of Hadoop as the Big Data analytics platform, this solution helps speed time to insights into data from multi-ple dimensions and reduces the risks and costs as-sociated with deploying new systems or extending existing ones as business needs change. One of the basic tenets of Hadoop and distributed com-puting is the notion of moving the compute to the data, rather than the reverse. The Hadoop ­based datalake is gaining in popularity because it can capture the volume of big data and other new I IN MY OPINIONHave You Visited the DataLake Yet?By Teja Manakame, Senior Director-Data Intelligence, Dell ITTeja Manakame
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