From Data Lake to Lakehouse

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prerequisites
beginner Python • basics of Jupyter Notebook • beginner SQL • beginner Apache Spark • basic data processing in Python (with pandas or similar libraries) • basic distributed computing
skills learned
leverage Delta Lake capabilities including schema enforcement and time travel • use Delta Lake commands • interact with multiple layers of the three-layer architecture • use Apache Spark for data processing and interacting with the Lakehouse
Mahdi Karabiben
1 week · 4-6 hours per week · BEGINNER
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Look inside

Turn an existing data lake into a Lakehouse, using Delta Lake, an open table format (and the cornerstone of Databricks’ Lakehouse design). For data processing and interacting with the Lakehouse, you’ll use Apache Spark. As you transform the existing tables into Delta tables, you’ll explore Delta Lake’s rich features, see firsthand how it handles potential problems, and appreciate the sophistication of the Lakehouse design.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Mahdi Karabiben

Mahdi is a senior data engineer at Zendesk. With four years of experience in data engineering, he has worked on multiple large-scale projects within the AdTech and financial sectors. He's a Cloudera-certified Apache Spark developer and works with Big Data technologies on a daily basis, designing and building data pipelines, data lakes, and data services that rely on petabytes of data. Thanks to his degree in software engineering (with a minor in big data), he is comfortable with a wide range of technologies and concepts. He additionally writes for major Medium publications (Towards Data Science, The Startup) and technology websites (TheNextWeb, Software Engineering Daily, freeCodeCamp).

prerequisites

The liveProject is for software engineers and data professionals interested in onboarding big data processing skills including processing large amounts of data and building cloud-based data lakes. To begin these liveProjects you'll need to be familiar with the following:


TOOLS
  • Beginner Python
  • Basics of Jupyter Notebook
  • Beginner SQL
  • Beginner Apache Spark
TECHNIQUES
  • Basic data processing in Python (with pandas or similar libraries)
  • Basic distributed computing
  • Basic SQL
  • Basic understanding of distributed data lakes

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