Why this course?

Description

You will Learn Delta Lake with Apache Spark using Scala on DataBricks Platform

 

Learn the latest Big Data Technology - Spark! And learn to use it with one of the most popular programming languages, Scala!

One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Spark! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems!

Spark can perform up to 100x faster than Hadoop MapReduce, which has caused an explosion in demand for this skill! Because the Spark 3.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market!

 

Delta Lake is an open-source storage layer that brings reliability to data lakes. Delta Lake provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. Delta Lake runs on top of your existing data lake and is fully compatible with Apache Spark APIs.

 

Are you ready to take your big data skills to the next level and revolutionize how you manage data at scale? Delta Lake, the open-source storage layer built on top of Apache Spark, is the game-changing technology transforming unreliable data lakes into robust, high-performance systems. It empowers organizations to manage streaming and batch data seamlessly, ensuring reliability, consistency, and scalability for critical business processes.

 

This course is your step-by-step guide to mastering Delta Lake, equipping you with the skills to build modern, real-time data pipelines and analytics solutions. Through a hands-on approach, you’ll learn how to create ACID-compliant data lakes, optimize performance, and streamline data operations—positioning yourself as a leader in big data and analytics.

 

Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.

 

Topics Included in the Courses

• Introduction to Delta Lake

• Introduction to Data Lake

• Key Features of Delta Lake

• Introduction to Spark

• Free Account creation in Databricks

• Provisioning a Spark Cluster

• Basics about notebooks

• Dataframes

• Create a table

• Write a table

• Read a table

• Schema validation

• Update table schema

• Table Metadata

• Delete from a table

• Update a Table

• Vacuum

• History

• Concurrency Control

• Optimistic concurrency control

• Migrate Workloads to Delta Lake

• Optimize Performance with File Management

• Auto Optimize

• Optimize Performance with Caching

• Delta and Apache Spark caching

• Cache a subset of the data

• Isolation Levels

• Best Practices

• Frequently Asked Question in Interview

 

About Databricks:

Databricks lets you start writing Spark code instantly so you can focus on your data problems.

 

What You’ll Gain:

• Data Lake Expertise: Learn to implement Delta Lake for building resilient, high-performance data pipelines.

• ACID Transactions for Big Data: Master Delta Lake’s ability to bring database-like reliability to your data lakes.

• Real-Time & Batch Data Processing: Combine streaming and batch data seamlessly for faster and more accurate insights.

• Advanced Optimization: Explore Delta Lake features like time travel, schema evolution, and data versioning to future-proof your workflows.

Real-World Applications:

• Real-Time Analytics: Power your organization’s decision-making with reliable, up-to-date insights.

• Data Governance: Ensure data accuracy and compliance with robust version control and auditing.

• High-Performance Data Pipelines: Build scalable systems that handle massive data loads effortlessly.

Who Should Enroll:

• Data Engineers & Architects eager to modernize their data infrastructure with Delta Lake.

• Big Data Professionals looking to improve the reliability and scalability of their data pipelines.

• IT Leaders & Innovators aiming to leverage the latest technology to drive business growth and innovation.

Don’t let outdated systems hold you back. Enroll now to master Delta Lake and become a driving force behind data reliability, speed, and scalability in your organization!