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Data News — Week 23.42

Christophe Blefari

Tests are directly added in the SQL code at the column that is target. Rise of the data generalist: smaller teams, bigger impact — You don't need to convince me. It's NoSQL database that is compliant with Apache Cassandra interfaces, and open-source. Jinja templating is still supported tho.

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Data Engineer Roles And Responsibilities 2022

U-Next

SQL – A database may be used to build data warehousing, combine it with other technologies, and analyze the data for commercial reasons with the help of strong SQL abilities. The job description for Data Engineers may require them to eventually specialize in one or more SQL kinds (such as advanced modeling, big data, etc.).

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

AltexSoft

This specialist supervises data engineers’ work and thus, must be closely familiar with a wide range of data-related technologies like SQL/NoSQL databases, ETL/ELT tools, and so on. To perform or supervise data modeling, data architects must have expertise at database administration and SQL development.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

SQL Today, more and more cloud-based systems add SQL-like interfaces that allow you to use SQL. Traditional data transformation tools are still relevant today, while next-generation Kafka, cloud-based tools, and SQL are on the rise for 2023. ETL is central to getting your data where you need it.

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How to Become a Data Engineer in 2024?

Knowledge Hut

This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc. Generalists They are typically responsible for every step of the data processing, starting from managing and making analysis and are usually part of small data-focused teams or small companies.

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?Data Engineer vs Machine Learning Engineer: What to Choose?

Knowledge Hut

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Data engineers play three important roles: Generalist: With a key focus, data engineers often serve in small teams to complete end-to-end data collection, intake, and processing.

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97 things every data engineer should know

Grouparoo

34 Fundamental Knowledge Knowledge of fundamental concepts allows you to embrace change 35 Getting the “Structured” Back into SQL Tips on writing SQL. 95 Why Data Science Teams Need Generalists, Not Specialists Specialization can slow things down. Be adaptable. Increase visibility. how fast are queries? Just get the job done.