APRIL 2018CIOAPPLICATIONS.COM6APRIL - 30 - 2018DATA PLATFORMSPECIALCopyright © 2018 ValleyMedia, Inc. All rights reserved. Reproduction in whole or part of any text, photography or illustrations without written permission from the publisher is prohibited. The publisher assumes no responsibility for unsolicited manuscripts, photographs or illustrations. Views and opinions expressed in this publication are not necessarily those of the magazine and accordingly, no liability is assumed by the publisher thereof.Volume 03 - 19Published by ValleyMedia, Inc. To subscribe to CIO ApplicationsVisit www.cioapplications.com Graphics & ArtDeclan ColeRenukesh GangurSales George Thomasgeorge@cioapplications.comT: 510.757.1040EditorialData Platforms: Heralding the Age of ConvergenceJoe PhillipManaging Editoreditor@cioapplications.comJoe PhillipNot long ago, data storage, management, and analytics were being carried out through disparate toolsets and applications. These deployments often resulted in the creation of analytics silos that were too complex to integrate and limited the possibility of global insights and innovation. The situation has changed significantly today. The present-day business warrants greater information security, data quality, and advanced predictive capabilities that would ensure their viability in the marketplace. Attending to all the requisites led to the uprising of the modern-age data platform, an end-to-end operations framework that allows businesses to seamlessly orchestrate, manage, and optimize data.At the core of these data platforms are unified in-memory data management and processing capability that understands data at a very deep and granular level to protect and activate data reliably, securely, and cost-effectively. Coupled with that, the new-age data platforms also house features and capabilities for schema-less development and support multiple programming languages to work with the data coming in from disparate external sources.Another striking feature of today's data platforms is metadata for intelligent control of data. Without an intelligent control, businesses go back to using blocks or containers, which is not the most effective strategy. These metadata handling goes a long way beyond simple access control lists, into content, faceting, classification, and natural language processing. It has the capacity to programmatically accept dynamic, custom attributes, and smartly manage data.As data becomes an increasingly valuable corporate asset, data platforms have transpired as mission-critical solutions. Consequently, the need for data quality assurance, encryption, and data jurisdiction has also become more critical than ever. Adhering to the trends, CIO Applications' editorial board has evaluated the leading-edge data platform providers in the market that are not only modernizing the data warehouse, but at the same time, ensuring maximum value of business-critical data with a swifter, more powerful, and sophisticated business intelligence framework.Let us know your thoughts.Managing Editor Joe PhillipSenior Writers Clara MathewEzra BenjaminRoyce D'SouzaEditorial Staff Ben JacksonDaniel HolmesJames SmithNaomi DalePooja RaySarah Fernandes*Some of the Insights are based on the interviews with respective CIOs and CXOs to our editorial staffContact Us Phone: 510.330.5174Fax:510-894-8405Email sales@cioapplications.comeditor@cioapplications.commarketing@cioapplications.com
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