White Paper

MapR Guide to Big Data in Healthcare

With so much at stake for patients, doctors, insurers, hospitals and researchers, new technologies like machine learning, predictive analytics, and AI are providing powerful new tools for healthcare technologists and thought leaders. The MapR Guide to Big Data in Healthcare provides a comprehensive view behind the scenes of big data technology in the healthcare industry.

TechValidate Survey: Why a Converged Data Platform is Your Key to Competitive Advantage

Converged Data Platform Key to Competitive Advantage
We’re in the midst of a dramatic shift in data architecture. Leading businesses are undergoing a digital transformation and creating a first-mover advantage. Companies worldwide are moving away from legacy systems toward modern, next-gen systems. The reason for this shift? Gaining a competitive advantage has never been more important, and organizations are turning to real-time analytics for help. They’re achieving unparalleled value by converging analytics with operational processes.

Insight Platforms Accelerate Digital Transformation

Many organizations have invested in big data technologies such as Hadoop and Spark. But these investments only address how to gain deeper insights from more diverse data. They do not address how to create action from those insights.

Forrester has identified an emerging class of software—insight platforms—that combine data, analytics, and insight execution to drive action using a big data fabric.

Building Blocks for Data Lakes

Read the Ovum report “Data Lakes: The Six Key Building Blocks to Success” by well-known industry analyst Tony Baer. You will come away with a firm understanding of the capabilities required in an underlying platform to enable building a successful data lake. You’ll also learn how the MapR Converged Data Platform meets the key requirements needed to support building a data lake, and much more.

The Need for Big Data Governance

Data Governance is essential to delivering maximum value from your big data environment. Without knowing what data you have, what it means, who uses it, what it is for, and how good it is, you can never create the insights and information needed to run a modern data-driven enterprise. Instead of an afterthought, data governance needs to be front and center in the organizational effort to harness the power of its data.


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