Software Alternatives & Reviews

Best Practices to Become a Data Engineer

Pandas Jupyter unittest Colaboratory Visual Studio Code Google Cloud Dataflow Apache Beam
  1. 1
    Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
    Pricing:
    • Open Source
    If you are making a transition to a career as a data engineer, then the manipulation of data and the cleaning of data are going to become extremely important. The first step in this journey may be to take a subset of data, and to work with Pandas (a Python package which is “Excel on steroids”) in order to really understand the data.

    #Data Science And Machine Learning #Data Science Tools #Python Tools 198 social mentions

  2. Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
    Python for Data Analysis - This book by Wes McKinney is a couple of years old, but it gives a really good walk through of NumPy and how to use it in an interactive Python environment called a Jupyter Notebook.

    #Data Science And Machine Learning #Data Science Tools #Data Science Notebooks 205 social mentions

  3. Testing Frameworks

    #Automated Testing #Testing #Online Services 60 social mentions

  4. Free Jupyter notebook environment in the cloud.
    Pricing:
    • Open Source
    Google Colabratory - If you are looking for a free resource to run Python, NumPy, and TensorFlow, you may want to try Google CoLab. This site allows you to run code using GPUs that work well with machine learning operations.

    #Development #Education & Reference #Education 208 social mentions

  5. Build and debug modern web and cloud applications, by Microsoft
    Pricing:
    • Open Source
    Visual Studio Code: This is a lightweight integrated development environment. As a side note, colleagues of mine swear by VS Code for Python development, but I have only used VS code for React, JavaScript, and TypeScript development.

    #Text Editors #IDE #Software Development 1017 social mentions

  6. Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
    Apache Beam - Apache Beam is a scalable framework that allows you to implement batch and streaming data processing jobs. It is a framework that you can use in order to create a data pipeline on Google Cloud or on Amazon Web Services.

    #Big Data #Data Dashboard #Data Management 14 social mentions

  7. Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.
    Pricing:
    • Open Source
    Apache Beam - Apache Beam is a scalable framework that allows you to implement batch and streaming data processing jobs. It is a framework that you can use in order to create a data pipeline on Google Cloud or on Amazon Web Services.

    #Big Data #Data Dashboard #Data Warehousing 14 social mentions

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