Description
Data Engineering with Spark Databricks Delta Lake Lakehouse is a course on how to build modern data pipelines and analytics platforms using Apache Spark and Databricks published by Udemy Online Academy. This is an advanced, hands-on course that teaches you how to build modern data pipelines and analytics platforms using Apache Spark and Databricks. The course focuses on the Delta Lake architecture in the Lakehouse pattern and explains the integration of data ingestion, transformation, and management for large-scale data processing and analysis. The course starts with the basics of Apache Spark and Databricks, explains how distributed data processing works, and how to efficiently manage data workflows in a collaborative cloud environment.
Learners then delve into Delta Lake concepts and master ACID transactions, schema enforcement, and time travel to maintain data reliability and consistency. This training covers the Lakehouse architecture, combining the strengths of data lakes and data warehouses to support analytical and operational workloads. Learn how to design, build, and optimize ETL pipelines, manage streaming and batch data, and perform data quality checks using Delta Live Tables. Advanced topics include data partitioning, performance tuning, and integration with BI tools for real-time analytics. By the end, learners will gain the expertise to implement scalable, production-grade data engineering solutions on Databricks using Spark and Delta Lake technologies.
What you will learn in Data Engineering with Spark Databricks Delta Lake Lakehouse:
- Gain the skills needed to qualify for entry-level data engineering positions
- Develop a practical understanding of Data Lakehouse concepts through hands-on experience
- Learn to work with Delta tables by accessing their version history, retrieving data, and using time travel capabilities
- Optimize Delta tables with various techniques such as caching, partitioning, and z-sorting for faster analytics
- Gain practical knowledge in building data pipelines using Apache Spark on the Databricks platform
- Perform analytics in an AWS Databricks account
- And…
Course specifications
Publisher: Udemy
Instructors: FutureX Skills
Language: English
Level: Introductory to Advanced
Number of Lessons: 47
Duration: 5 hours and 3 minutes
Course topics
Data Engineering with Spark Databricks Delta Lake Lakehouse Prerequisites
Some understanding of Database and SQL queries
Pictures
Data Engineering with Spark Databricks Delta Lake Lakehouse introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
3 GB
