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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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Recap of Hadoop News for March

ProjectPro

News on Hadoop- March 2016 Hortonworks makes its core more stable for Hadoop users. PCWorld.com Hortonworks is going a step further in making Hadoop more reliable when it comes to enterprise adoption. Hortonworks Data Platform 2.4, Source: [link] ) Syncsort makes Hadoop and Spark available in native Mainframe.

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

Steps to Become a Data Engineer One excellent point is that you don’t need to enter the industry as a data engineer. You can start as a software engineer, business intelligence analyst, data architect, solutions architect, or machine learning engineer. What is Data Modeling? What is a NameNode?

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

Knowledge Hut

When designing, constructing, maintaining, and troubleshooting data pipelines that transfer data from its source to the proper storage place and make it accessible for analysis and reporting, we collaborate with data architects and data scientists. is the responsibility of data engineers.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

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. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

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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.