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πŸ”₯ Master Apache Spark & Databricks! Dive into a world of big data with exclusive insights from Udemy courses, personal notes, and practical guides. Whether you're starting out or scaling new heights in data engineering, this is your ultimate resource hub! πŸŒŸπŸš€

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Mikma03/Spark-databricks

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Spark-databricks Repository

Introduction

Welcome to the Spark-databricks repository, your ultimate guide to mastering Apache Spark and Databricks! This repository is a curated collection of resources, personal notes, and insights from various Udemy courses, tailored for both beginners and experienced professionals in the field of data engineering and data science.

What's Inside?

Udemy Course Materials

  • Course 02: Dive deep into Databricks, Delta Lake, and advanced features.
  • Course 04: Explore Data Governance, Databricks Clusters, Notebooks, and more.

Personal Notes

  • Best Practices: Tips and tricks for efficient data processing.
  • Spark Essentials: Understanding the core concepts of Apache Spark.
  • Databricks Guides: Step-by-step guides to mastering Databricks.

Additional Resources

  • Optimization Techniques: Learn how to optimize your Spark applications.
  • Useful Links: Curated list of resources for further learning.

How to Use This Repository

  1. Browse Through the Content: Navigate through the folders to find the topics that interest you.
  2. Download Materials: Feel free to download any PDFs or notebooks for offline study.
  3. Read and Learn: Go through the notes and resources at your own pace to enhance your understanding of Spark and Databricks.

Contributing

Contributions to the repository are welcome! If you have any notes, resources, or insights you'd like to share, please feel free to open a pull request.

Contact

If you have any questions or feedback, please reach out to me at:

LinkedIn: Mikolaj Maslanka

Email: mikolaj@datainnovations.io

About

πŸ”₯ Master Apache Spark & Databricks! Dive into a world of big data with exclusive insights from Udemy courses, personal notes, and practical guides. Whether you're starting out or scaling new heights in data engineering, this is your ultimate resource hub! πŸŒŸπŸš€

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