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Data Engineering Annotated Monthly – July 2021

Big Data Tools

Building Data Pipelines Using Kotlin – Surprisingly, big companies are using Kotlin for data pipelines, too! Salesforce shares its experience of using Kotlin everywhere in data engineering but Spark, and we’re in touch about using the Kotlin API for Apache Spark, too! Read the article to find out how they did it.

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Data Engineering Annotated Monthly – July 2021

Big Data Tools

Building Data Pipelines Using Kotlin – Surprisingly, big companies are using Kotlin for data pipelines, too! Salesforce shares its experience of using Kotlin everywhere in data engineering but Spark, and we’re in touch about using the Kotlin API for Apache Spark, too! Read the article to find out how they did it.

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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. Tools askgit – SQL is a native language for many data engineers.

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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. Tools askgit – SQL is a native language for many data engineers.

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Data Analytics Engineer- Is It Worth Pursuing in 2023?

ProjectPro

The role of a data analytics engineer blends the skills and techniques of data analysts and data engineers with an additional emphasis on developing data models for end users and communication. Becoming a data analytics engineer can be a confusing career choice as it is relatively new in the industry.

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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

ProjectPro has precisely that in this section, but before presenting it, we would like to answer a few common questions to strengthen your inclination towards data engineering further. What is Data Engineering? Data Engineering refers to creating practical designs for systems that can extract, keep, and inspect data at a large scale.

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The Top 25 Data Engineering Influencers and Content Creators on LinkedIn

Databand.ai

Follow Joseph on LinkedIn 2) Charles Mendelson Associate Data Engineer at PitchBook Data Charles is a skilled data engineer focused on telling stories with data and building tools to empower others to do the same, all in the pursuit of guiding a variety of audiences and stakeholders to make meaningful decisions.