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

AltexSoft

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? Let’s discuss and compare them to avoid misconceptions.

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Azure Data Engineer Certification Path (DP-203): 2023 Roadmap

Knowledge Hut

Data Engineers and Data Scientists have the highest average salaries, respectively, according to PayScale. Azure data engineer certification pathgives detailed information about the same. Who is an Azure Data Engineer? Using scripts, data engineers ought to be able to automate routine tasks.

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Recap of Hadoop News for March

ProjectPro

GlobeNewsWire.com Cloudera – the global provider of the easiest and the most secure data management to be built of Apache Hadoop , recently announced that recently it has moved from the Challengers to the Visionaries position in the 2016 Gartner Magic Quadrant for Data Warehouse and Data Management solution for analytics.

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Big Data Engineer Salary - How Much Can You Make in 2023?

ProjectPro

This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 Several industries across the globe are using Big Data tools and technology in their processes and operations. So, let's get started!

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100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Define Big Data and Explain the Seven Vs of Big Data. Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Explain the data preparation process.