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Data Lake: The Definitive Guide

June 20, 2018

It would be an understatement to say that the hype surrounding the data lake is causing confusion in the industry. Perhaps, this is an inherent consequence of the data industry’s need for buzzwords: it’s not uncommon for a term to rise to popularity long before there is clear definition and repeatable business value. We have seen this phenomena many times when concepts including “big data,” “data reservoir,” and even the “data warehouse” first emerged in the industry. Today’s newcomer to the data world vernacular the “data lake”is a term that has endured both the scrutiny of pundits who harp on the risk of digging a data swamp and, likewise, the vision of those who see the potential of the concept to have a profound impact on enterprise data architecture. As the data lake term begins to come off its hype cycle and face the pressures of pragmatic IT and business stakeholders, the demand for clear data lake definitions, use cases, and best practices continues to grow.

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Kognitio

Kognitio is a pioneer in high performance, scalable Big Data analytics for Data Science & Business Intelligence. Building and deploying technology and services for over two decades, Kognitio continues to exceed client expectations, lead innovation and deliver production-grade installations for Big Data analytics. An intuitive, massively parallel in-memory platform, combining SQL and NoSQL, reading Big Data directly from existing persistence platforms such as Hadoop, DW and cloud, while integrating with business applications via industry standard APIs. Deploy Kognitio software via download, as an appliance or via public or private cloud as a service. Kognitio’s implementation, services and Data Science expertise provide our clients and partners a foundation for the modern, data-driven business

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Data Lake: The Definitive Guide