5 Traps to Avoid and 5 Ways to Succeed with Big Data Analytics

Presented by

Hal Lavender, Chief Architect, Cognizant, Thomas Dinsmore, BI & Big Data Expert, Josh Klahr, VP Product Management, AtScale D

About this talk

When it comes to Big Data Analytics, do you know if you are on the right track to succeed in 2017? Is Hadoop where you should place your bet? Is Big Data in the Cloud a viable choice? Can you leverage your traditional Big Data investment, and dip your toe in modern Data Lakes too? How are peer and competitor enterprises thinking about BI on Big Data? Come learn 5 traps to avoid and 5 best practices to adopt, that leading enterprises use for their Big Data strategy that drive real, measurable business value. In this session you’ll hear from Hal Lavender, Chief Architetect of Cognizant Technologies, Thomas Dinsmore, Big Data Analytics expert and author of ‘Disruptive Analytics: Charting Your Strategy for Next-Generation Business Analytics, along with Josh Klahr, VP of Product, as they share real world approaches and achievements from innovative enterprises across the globe. Join this session to learn… - Why leading enterprises are choosing Cloud for Big Data in 2017 - What 75% of enterprises plan to drive value out of their Big Data - How you can deliver business user access along with security and governance controls

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AtScale is the industry leader in data federation and cloud transformation, enabling enterprises to modernize application architectures and accelerate business intelligence, A.I. and Machine Learning initiatives. By eliminating data location constraints, AtScale accelerates enterprise multi-platform and multi-cloud adoption with greater agility, performance and security -- all without disrupting the business. Led by industry veterans from Yahoo!, Google, Microsoft, Salesforce, Cisco and Oracle, AtScale is delivering enterprise transformation globally for firms including JPMorgan Chase, Wells Fargo, GlaxoSmithKline and many more. For additional information, visit www.atscale.com/cloud