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Lost in the Cloud? Why Mapping YOUR Transformation Journey Is More Important Than Ever

The past 10 months have accelerated the race to cloud. That’s all the more reason to pause and check that you’re moving in the right direction. Cloud migration these days is something of a no-brainer. For most businesses, it’s no longer a question of whether to migrate to cloud. The real issues are around the how, when, what, where and even the why of cloud.

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The Global Health Crisis Is Accelerating Transportation's Need for Digital Transformation

The transportation industry has reached an inflection point – one in which nearly all forms of travel have been met with unprecedented challenges. Transit and airport revenues have been decimated with the lack of passengers, while freight and shipping companies have been overwhelmed with demand from an explosion of e-commerce orders. Despite facing unprecedented challenges, the industry is facing an equally unprecedented opportunity to innovate.

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Six Trends Driving Adoption of Lumada DataOps Suite

Innovative organizations need DataOps and new technologies because old-school data integration is no longer sufficient. The traditional approach creates monolithic, set-in-concrete data pipelines that can’t convert data into insights quickly enough to keep pace with business. The following trends are driving the adoption of Hitachi’s Lumada DataOps Suite.

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Uncover Gold During an Economic Crisis: Five Steps to Monetizing Your Data

Because of the COVID-19 global pandemic, almost every industry is experiencing volatility, risks and changes to buying behavior. Nevertheless, in crisis often comes opportunity and a forcing factor for businesses to redefine themselves. Those looking to innovate after (or even during) this crisis should focus on two key concepts — data monetization and data modernization.

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A Three-Step Plan to Innovate Hadoop for the Cloud

How large is your Hadoop data lake? 500 terabytes? A petabyte? Even more? And it is certainly growing, bit by bit, day after day. What began as inexpensive big data infrastructure now demands ever more expenditures on storage and servers while becoming increasingly unwieldy and expensive to manage. Such rapacity makes it ever harder to realize a proper return on investment from that Hadoop infrastructure.

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How Data Fabrics Power Industrial IoT

Unlike typical resources companies depend upon to thrive, the amount of data available to enterprises is not finite. With edge technology and smart devices, there is truly no limit to the quantity of useful data companies can and should be using to make better informed decisions. But many businesses unnecessarily limit the variety, quality, and extent of the data at their disposal by not having the right data architecture.

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Why We Need the Data Fabric

Computer science loves abstraction, and now, as it turns out, so does data management. Abstraction means reducing something complex to something simpler that elegantly delivers its essence. Applications all over the world become more robust and easier to maintain and evolve when a simple interface is put in front of a complex service. The consumer of the service is able to say: This is a lot simpler than allowing the consumer to reach directly under the hood and mess with the engine.

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COVID-19, the Data Deluge and Optimizing Splunk for Time and Cost

The new normal has changed the way we work and the way we conduct business. More and more employees are working from home, customers are shopping online, and everyone’s phone is still attached to their ears. Bottom line: everything we’re doing in business and in our personal lives is leaving a digital trail. In fact, now devices are getting in the game and creating more data than people, 277 times more, according to Cisco.