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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

Cloudera Operational Database is powered by Apache HBase and Apache Phoenix. In Cloudera Operational Database, you use Apache HBase as a datastore with HDFS and/or S3 providing the storage infrastructure. A column family is stored together in the storage. . Apache HBase data layout Cells.

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Most Popular Big Data and Data Science Development Services

KitelyTech

However, most companies already have more user data than they realize through marketing, web tools, and customer information that can be used as a starting point. Database Management. Database management is what your database administrator uses to store, organize, and access computer data.

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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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Who is ETL Developer: Role Description, Process Breakdown, Responsibilities, and Skills

Altexsoft

Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it. Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data.

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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

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. Object storage like S3 is very similar to HDFS on many accounts.

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