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Data Engineering Annotated Monthly – July 2021

Big Data Tools

Row-access policies in Snowflake – Snowflake is one of the most well-known unicorns in the world of Big Data. In July they announced a new feature: row access policies. Building Data Pipelines Using Kotlin – Surprisingly, big companies are using Kotlin for data pipelines, too!

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Data Engineering Annotated Monthly – July 2021

Big Data Tools

Row-access policies in Snowflake – Snowflake is one of the most well-known unicorns in the world of Big Data. In July they announced a new feature: row access policies. Building Data Pipelines Using Kotlin – Surprisingly, big companies are using Kotlin for data pipelines, too!

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Data Engineering Annotated Monthly – September 2021

Big Data Tools

An interesting nuance: it has a very nice user interface that allows users to build charts and change queries interactively! PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. Treating data as a product at Adevinta — Having data is not enough!

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Data Engineering Annotated Monthly – September 2021

Big Data Tools

An interesting nuance: it has a very nice user interface that allows users to build charts and change queries interactively! PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. Treating data as a product at Adevinta — Having data is not enough!

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Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.

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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because raw data is painful to read and work with. What is Data Engineering?

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

AltexSoft

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. This privacy law must be kept in mind when building data architecture.