Best of Data Engineering2022

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    Article
    Avatar of spaceliftSpacelift·3y

    44 Books for DevOps, Site Reliability, and Cloud Engineers

    44 Books for DevOps, Site Reliability, and Cloud Engineers & Architects are available online. The list includes a collection of free and paid books in various areas and links to them. If your favorite book isn’t mentioned, please drop a comment below.

  2. 2
    Article
    Avatar of changelogChangelog·3y

    charlax/engineering-management: A collection of inspiring resources related to engineering management and tech leadership

    Management is full of fluffy books that could be summarized in one 100-word article. Turn the Ship Around!: A True Story of Turning Followers into Leaders made me truly understand what empowering local decision means. There are numerous cheesy management books and this is not one of them.

  3. 3
    Article
    Avatar of communityCommunity Picks·3y

    Practical data engineering concepts and skills

    Data engineers are responsible for wrangling, manipulating, and streaming data to fuel insights and better decision-making. These skills are in high demand, so if you’re looking to make a career change and become a data engineer or develop your existing skill set, this is the article for you.

  4. 4
    Article
    Avatar of devgeniusDev Genius·4y

    Data Engineering Best Practices: Tech stack with PostgreSQL, DB, Airflow and Redash

    Data Engineering is a set of operations aimed at creating mechanisms and conditions for efficient access and flow of data. It includes setting up infrastructures that support consistent and maintainable physical and virtual environments for the use of data analysts and scientists.

  5. 5
    Article
    Avatar of hrbHEARTBEAT·4y

    Is there a Data Engineering Roadmap?

    Data Engineering is the discipline in the 'Data World' which drives us to design and build things. Data Engineers need to know how to manage, create, and design databases being relational or non-relational, how the data on them can be normalized, and understand the Entity-Relationship model, normalization and scaling patterns.