Remove 2022 Remove Business Intelligence Remove Data Architecture Remove Statistics
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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

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Real estate CIOs drive deals with data

CIO Business Intelligence

“The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. billion in 2022, resource industries $82.1 billion in 2022, and personal and consumer services at $82.6 billion in 2022.

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Misled by metrics: 7 KPI mistakes IT leaders make

CIO Business Intelligence

Mark Twain famously remarked that there are three kinds of lies: lies, damned lies, and statistics. If your company has data, you’re definitely leveraging it and trying to use insights from analytics to drive positive business outcomes,” says John Loury, president and CEO of Cause + Effect Strategy, a business intelligence consulting firm.

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Choosing an open table format for your transactional data lake on AWS

AWS Big Data

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Frequent compaction can be used to optimize read performance.

Data Lake 113
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Your Data Architecture Holds the Key to Unlocking AI’s Full Potential

CIO Business Intelligence

In order to move AI forward, we need to first build and fortify the foundational layer: data architecture. This architecture is important because, to reap the full benefits of AI, it must be built to scale across an enterprise versus individual AI applications. Constructing the right data architecture cannot be bypassed.