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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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Microsoft secures your place in the world of business

Dataconomy

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

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Optimizing PCI compliance in financial institutions

CIO Business Intelligence

CCA prerequisites Large organizations usually govern their IT portfolio via global architectural patterns, which can be thought of as building blocks, and include IT security patterns. In practice, IT architectural patterns give architects the building blocks to design any IT solution.

Financial 105
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16 best entry-level IT certifications to launch your career

CIO Business Intelligence

The courses are designed to be completed in succession, starting with the Apple Device Support course, which focuses on the skills and expertise you’ll need as a help desk professional, technical coordinator, or service provider for an organization that relies on Apple hardware and software.

SCRUM 135
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What is a CTO? The exec who sets tech strategy

CIO Business Intelligence

The CTO title is more challenging to define today than ever before.” [ Related: Career roadmap: Chief technology officer ] CTO job description CTOs oversee the effectiveness of technology resources within an organization, including everything from phone systems to enterprise software platforms.

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The essential check list for effective data democratization

CIO Business Intelligence

Doing it right requires thoughtful data collection, careful selection of a data platform that allows holistic and secure access to the data, and training and empowering employees to have a data-first mindset. Data formats and data architectures are often inconsistent, and data might even be incomplete.

Data 135