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<strong>6 Tips For Training Your Employees About Cybersecurity</strong>

6 Tips For Training Your Employees About Cybersecurity

This discussion will focus on establishing an all-encompassing information...

How Square Improves Shareholder Engagement and Enhances Overall IR Efforts with Actionable Insights 

How Square Improves Shareholder Engagement and Enhances Overall IR Efforts with Actionable Insights 

The healthcare industry is in no way exempt from...

Solving the steam_api.dll Missing Issue

Solving the steam_api.dll Missing Issue

Usually this error is faced by the gamers -...

How Security in Tech is Being Reinforced

How Security in Tech is Being Reinforced

In an increasingly digital world, security has become a...

2022 Business Spend Management Benchmark Report

2022 Business Spend Management Benchmark Report

Read the 2022 Coupa Benchmark Report to explore 20...

Rethinking Big Data Platforms like Hadoop with Open Technology

October 12, 2015 No Comments

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Social, mobile, cloud and analytics are fundamentally changing how we live, work and interact. These technologies are fueling an unprecedented explosion of data — providing the potential for significant opportunity. With the right tools, you can uncover fresh insights in real time from this vast amount of data and act on them with confidence. IBM is helping organizations in every industry unlock the value of big data and analytics that can have a profound effect on their business.

This webinar with Dr. Srini Chari, Managing Partner, Cabot Partners and IBM Distinguished Engineer Linton examines how organizations can derive high value insights by framing strategic business questions and combining systems of records with systems of engagement and how these can be achieved by implementing a high-performance, scalable and agile information foundation to support both real-time and large-scale analytics capabilities.

Presenters:
Dr. Srini Chari, Managing Partner, Cabot Partners
Dr. Linton Ward, IBM Distinguished Engineer, Chief Engineer, POWER Big Data and Analytics

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Hadoop Big Data

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