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Big Data: The Hadoop Business Case

CTOvision

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, Oracle, Teradata, IBM, SAP, Microsoft, EMC, etc). What is Big Data? This definition was published in an article entitled “What is Big Data?”

Big Data 286
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EMC Evolves Enterprise Data Protection with Enhancements (Part I)

Storage IO Blog

Modernizing Data Protection Today EMC announced enhancements to its Backup Recovery Solutions [.].

Backup 63
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What is data governance? Best practices for managing data assets

CIO Business Intelligence

Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs. Key features include a collaborative business glossary, the ability to visualize data lineage, and generate data quality measurements based on business definitions.

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Part II: EMC Evolves Enterprise Data Protection with Enhancements

Storage IO Blog

Data protection storage [.].

Backup 60
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VMworld 2013 Day 1 Keynote

Scott Lowe

From there, she launches into a discussion of the “customer virtualization journey”; it’s the same 3-step journey of IT production, business production, and IT-as-a-Service that we’ve heard about for several years. He pays particular attention to mission-critical apps on VMware, calling out Oracle, SAP, and others.

Vmware 62
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Fountainhead: What Is Meant by a "Cloud-Ready" Application?

Fountainhead

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. landscape will include many servers (often virtual machines) linked by. connected to differing forms of storage (not to mention storage tiering, backup etc.) QoS), and storage (connectivity, tiering, caching). Fountainhead.

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How data engineers tame Big Data?

Dataconomy

Data engineers play a crucial role in managing and processing big data. They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively. What is data engineering? How does workflow automation help different departments?