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

CIO

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Data architect vs. data engineer The data architect and data engineer roles are closely related.

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The 10 highest-paying industries for IT talent

CIO

There’s a demand for skills such as cybersecurity, cloud, IT project management, UX/UI design, change management, and business analysis. There’s a high demand for software engineers, data engineers, business analysts and data scientists, as finance companies move to build in-house tools and services for customers.

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Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. What is the main difference between a data architect and a data engineer? By the way, we have a video dedicated to the data engineering working principles.

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Cloudera Operational Database application development concepts

Cloudera

But first, let’s look at the different form factors in which Cloudera Operational Database is available to developers: Public cloud: CDP Data Hub Operational Database template . Cloudera Operational Database (COD) experience that is is a managed dbPaaS solution. On-premises: CDP Private Cloud Base.

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Implementing a Data Management Strategy: Key Processes, Main Platforms, and Best Practices

Altexsoft

Data is a valuable source that needs management. If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business.

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Health Information Management: Concepts, Processes, and Technologies Used

Altexsoft

So, we’ll only touch on its most vital aspects, instruments, and areas of interest — namely, data quality, patient identity, database administration, and compliance with privacy regulations. To avoid errors that may threaten patient safety, AHIMA introduced the data quality management model which covers.

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Q&A with Greg Rahn – The changing Data Warehouse market

Cloudera

So, that’s kind of how I got introduced to databases and SQL systems. I then ended up working for a travel company and did database administration there. After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer.

Data 42