Deep-Dive in DeltaLake using PySpark in Databricks

Deep-Dive in DeltaLake using PySpark in Databricks, available at $19.99, has an average rating of 4.17, with 21 lectures, based on 6 reviews, and has 97 subscribers.

You will learn about Understand the power of Delta table in Apache Spark Build Delta Lakehouse using Databricks Explore advanced features of Delta Lake, such as schema evolution and time travel Learn to use Databricks effectively for data processing and analysis Understand End to End use of Delta tables in Apache Spark Hands on practice with Delta Lake Learn how to leverage the power of Delta Lake with a Spark Environment! This course is ideal for individuals who are Data Engineer who wants to switch to Azure Big Data Engineer or Beginner Apache Spark Developer or Data Analyst It is particularly useful for Data Engineer who wants to switch to Azure Big Data Engineer or Beginner Apache Spark Developer or Data Analyst.

Enroll now: Deep-Dive in DeltaLake using PySpark in Databricks

Summary

Title: Deep-Dive in DeltaLake using PySpark in Databricks

Price: $19.99

Average Rating: 4.17

Number of Lectures: 21

Number of Published Lectures: 21

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 21

Original Price: ₹799

Quality Status: approved

Status: Live

What You Will Learn

Understand the power of Delta table in Apache Spark
Build Delta Lakehouse using Databricks
Explore advanced features of Delta Lake, such as schema evolution and time travel
Learn to use Databricks effectively for data processing and analysis
Understand End to End use of Delta tables in Apache Spark
Hands on practice with Delta Lake
Learn how to leverage the power of Delta Lake with a Spark Environment!

Who Should Attend

Data Engineer who wants to switch to Azure Big Data Engineer
Beginner Apache Spark Developer
Data Analyst

Target Audiences

Data Engineer who wants to switch to Azure Big Data Engineer
Beginner Apache Spark Developer
Data Analyst

This is an immersive course that provides a comprehensive understanding of Delta Lake, a powerful open-source storage layer for big data processing, and how to leverage it using Databricks. With hands-on experience and a step-by-step approach, this course explores the core concepts, architecture, and best practices of Delta Lake. Throughout the course, you will gain valuable insights into data lakes, data ingestion, data management, and data quality. You will learn the advanced capabilities of Delta Lake, including schema evolution, transactional writes, asset management, and time travel. Moreover, this course covers how to integrate Delta Lake with Databricks, a cloud-based platform for data engineering and analytics. You will witness the seamless integration of Delta Lake with Databricks, empowering you to perform analytics, data engineering, and machine learning projects efficiently using these technologies. To enhance your learning experience, this course also includes an end-to-end project where you will apply the acquired knowledge to build a real-world data solution. You will design a data pipeline, perform data ingestion, transform data using Delta Lake, conduct analytics, and visualize the results. This hands-on project will solidify your understanding and provide you with practical skills applicable to various data-driven projects. By the end of this course, you will be equipped with the expertise to leverage the power of Delta Lake using Databricks and successfully implement scalable and reliable data solutions. Whether you are a data engineer, data scientist, or data analyst, this course offers immense value in advancing your big data skills and accelerating your career in the field of data engineering and analytics.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction and Syllabus

Lecture 2: Architecture and Introduction of Delta-Lake

Lecture 3: How Delta table differs from Normal tables

Lecture 4: Create a Delta table

Lecture 5: Generate Column in Delta table

Lecture 6: Read a Delta table

Lecture 7: Write to a Delta table

Lecture 8: ReplaceWhere while writing to Delta table

Lecture 9: Delete a Delta table

Lecture 10: Update a Delta table

Lecture 11: Upsert or Merge Statment in Delta tables

Lecture 12: Understand transactional logs in _delta_log folder

Lecture 13: How to go to time travel in Delta table using History

Lecture 14: Restore Delta table to previous version

Lecture 15: How to add constraint in Delta table

Lecture 16: How to add user meta data information in a Delta table

Lecture 17: Schema evolution and enforcement in Delta table

Lecture 18: Shallow and Deep Clone of Delta table

Lecture 19: Addition on Deep and Shallow Clone of Delta table

Lecture 20: How to enable Change Data Feed in Delta table

Lecture 21: Reduce small file issue using optimize

Instructors

Sagar Prajapati
Instructor at Udemy | Mentor at GeekCoders Platform

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 2 votes
5 stars: 2 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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