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Microsoft Fabric & Delta Lake

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Microsoft Fabric & Delta Lake, available at $44.99, has an average rating of 5, with 69 lectures, based on 7 reviews, and has 65 subscribers.

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You will learn about You will learn how to Delta Lake integrate with Microsoft Fabric Data Engineering Learning to operate a Delta Lake table by accessing its version history, recovering data, and utilizing time travel functionality Obtaining practical knowledge in managing Delta Lake tables Developing a practical comprehension of Delta Lake concepts through hands-on experience This course is ideal for individuals who are Computer Science or IT Students or other graduates with passion to get into IT or Data Warehouse Developers who want to transit to become a Data Engineering or ETL Developers who want to become a Data Engineering or Database or PL/SQL Developers who want to or BI Developers to learn about Data Engineering or QA Engineers or Application Developers to gain Data Engineering Skills or Data Engineering beginners It is particularly useful for Computer Science or IT Students or other graduates with passion to get into IT or Data Warehouse Developers who want to transit to become a Data Engineering or ETL Developers who want to become a Data Engineering or Database or PL/SQL Developers who want to or BI Developers to learn about Data Engineering or QA Engineers or Application Developers to gain Data Engineering Skills or Data Engineering beginners.

Enroll now: Microsoft Fabric & Delta Lake

Summary

Title: Microsoft Fabric & Delta Lake

Price: $44.99

Average Rating: 5

Number of Lectures: 69

Number of Published Lectures: 69

Number of Curriculum Items: 69

Number of Published Curriculum Objects: 69

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will Learn

  • You will learn how to Delta Lake integrate with Microsoft Fabric Data Engineering
  • Learning to operate a Delta Lake table by accessing its version history, recovering data, and utilizing time travel functionality
  • Obtaining practical knowledge in managing Delta Lake tables
  • Developing a practical comprehension of Delta Lake concepts through hands-on experience

Who Should Attend

  • Computer Science or IT Students or other graduates with passion to get into IT
  • Data Warehouse Developers who want to transit to become a Data Engineering
  • ETL Developers who want to become a Data Engineering
  • Database or PL/SQL Developers who want to
  • BI Developers to learn about Data Engineering
  • QA Engineers
  • Application Developers to gain Data Engineering Skills
  • Data Engineering beginners

Target Audiences

  • Computer Science or IT Students or other graduates with passion to get into IT
  • Data Warehouse Developers who want to transit to become a Data Engineering
  • ETL Developers who want to become a Data Engineering
  • Database or PL/SQL Developers who want to
  • BI Developers to learn about Data Engineering
  • QA Engineers
  • Application Developers to gain Data Engineering Skills
  • Data Engineering beginners

Welcome!

I’m excited about guiding you through the exploration of one of the most powerful data engineering tools in the cloud: Delta Lake.

Unlock the full potential of data management and analytics in the Microsoft Fabric environment with our comprehensive course on Delta Lake. Delta Lake, an open-source storage layer that brings ACID transactions to Apache Spark and big data workloads, is seamlessly integrated into Microsoft Fabric to provide a robust and scalable solution for data lakes.

This hands-on course is designed for data engineers, data scientists, and IT professionals seeking to harness the power of Delta Lake within the Microsoft Fabric ecosystem. Participants will gain a deep understanding of Delta Lake’s architecture, features, and best practices, enabling them to build scalable and reliable data pipelines.

The main focus of this course is to teach you how to use the Delta Lake within Microsoft Fabric to accomplish your daily tasks.

By the end of this course, you will be equipped with the skills and knowledge needed to architect, implement, and manage Delta Lake within the Microsoft Fabric environment. Whether you’re a data engineer looking to build robust pipelines or a data scientist aiming to derive insights from vast datasets, this course provides the essential tools for success in the world of big data analytics.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction & Welcome

Lecture 2: Microsoft Fabric overview

Chapter 2: Getting started with Microsoft Fabric & Delta Lake

Lecture 1: Creating a Workspace and Lakehouse

Lecture 2: What is Delta Lake

Chapter 3: Basic operations

Lecture 1: Create table

Lecture 2: Manage table vs Unmanaged

Lecture 3: Partitioning

Lecture 4: Append data

Lecture 5: Overwrite data

Lecture 6: Delete data

Lecture 7: Update data

Lecture 8: Merge data

Lecture 9: Read data

Lecture 10: Create table Like

Lecture 11: Retrieve table details

Lecture 12: Demo – Basic operations

Chapter 4: Delta Log

Lecture 1: Breaking down the Delta Transaction Log

Lecture 2: Delta Transaction Log Protocol

Lecture 3: Transaction Log at File Level

Lecture 4: Reading the Transaction Log

Lecture 5: Commit information

Lecture 6: Add information

Lecture 7: Checkpoint Files

Lecture 8: Demo – Delta Log

Chapter 5: Concurrency

Lecture 1: Dealing With Multiple Concurrent Reads and Writes

Lecture 2: Solving conflicts optimistically

Lecture 3: Write conflicts

Lecture 4: Avoiding conflicts

Lecture 5: Conflict exceptions

Lecture 6: Demo – Concurrency

Chapter 6: Schema Enforcement & Evolution

Lecture 1: Schema Enforcement

Lecture 2: Schema Evolution

Lecture 3: Demo – Schema Enforcement & Evolution

Chapter 7: Constraints

Lecture 1: What are delta tables constraints?

Lecture 2: Types of constraints

Lecture 3: Demo – Constraints

Chapter 8: Time travel

Lecture 1: What is delta lake time travel?

Lecture 2: Advantages of time travel

Lecture 3: Working with time travel

Lecture 4: Time Travel considerations

Lecture 5: Demo – Time Travel

Chapter 9: Change Data Feed

Lecture 1: What is Change Data Feed?

Lecture 2: Challenges and use cases

Lecture 3: How to read changes

Lecture 4: Demo – Chance Data Feed

Chapter 10: Table utilities

Lecture 1: Vacuum

Lecture 2: Demo – Vacuum

Lecture 3: Restore

Lecture 4: Demo – Restore

Lecture 5: Shallow Clone

Lecture 6: Demo – Shallow Clone

Lecture 7: Convert a Parquet table

Lecture 8: Demo – Convert a Parquet table

Chapter 11: Performance

Lecture 1: Data skipping

Lecture 2: Demo – Data skipping

Lecture 3: Optimize Command

Lecture 4: Demo – Optimize Command

Lecture 5: Z-Order Command

Lecture 6: Demo – Z-Order Command

Lecture 7: V-Order Command

Lecture 8: Demo – V-Order Command

Chapter 12: Column Mapping

Lecture 1: Column mapping

Lecture 2: Demo – Column mapping

Chapter 13: Generating columns

Lecture 1: Generating columns

Lecture 2: Demo – Generating columns

Chapter 14: Deletion Vector

Lecture 1: Deletion Vector

Lecture 2: Reorg Table

Lecture 3: Demo – Deletion Vector & Reorg Table

Chapter 15: Congratulations

Lecture 1: Congratulations

Instructors

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  • 5 stars: 7 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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