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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets.

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Supercharge Your Existing Storage with a Metadata Engine

Data Center Knowledge

The rigidity of traditional storage and compute architectures mean that there has been no way to make sure the right resource is serving the right data at the right time. Read More.

Storage 138
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Accelerating generative AI requires the right storage

CIO Business Intelligence

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. All this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage. Novel approaches to storage are needed because generative AI’s requirements are vastly different.

Storage 98
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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. The data engineer role.

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DDN raises the bar as data intensive analytics push storage systems

CTOvision

It is no secret that today’s data intensive analytics are stressing traditional storage systems. SSD) to bolster the performance of traditional storage platforms and support the ever-increasing IOPS and bandwidth requirements of their applications.

Storage 260
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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 132
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Bring More Analysis to Your Data: learn key architecture lessons learned over breakfast in Tysons Corner VA

CTOvision

Current architectures, unfortunately, segment these efforts into distinct, separate systems, requiring costly duplication to provide these capabilities. Analysis Architecture Big Data CTO Cyber Security Events ApacheHadoop bigdata Cloudera Security information and event management SQL' Rethink Analytics. Register at: [link].

Analysis 246