Description
I am creating Apache Spark and Databricks – Stream Processing in Lakehouse using Python course to help you understand Real-time Stream Processing using Apache Spark and use that knowledge to build real-time stream processing solutions. This course is case-based and follows a workshop-like approach. We will take a live programming approach and explain all the necessary concepts along the way. I designed this course for software engineers who want to develop pipeline and real-time stream processing application using Apache Spark. I am also creating this course for data architects and data engineers who are responsible for designing and building an organization’s data-driven infrastructure. Another group of people are managers and architects who don’t work directly with Spark implementations. However, they work with people who implement Apache Spark on the ground level. This course uses Apache Spark 3.x. I have tested all the source code and examples used in this tutorial on the Apache Spark 3.0.0 open source distribution.
What you will learn in the course Apache Spark and Databricks – Stream Processing in Lakehouse
- Real-time processing concepts
- Spark Structured Streaming APIs and Architecture
- Working with File Streams
- Working with Kafka source and integrating Spark with Kafka
- State-less and State-full transformations
- Material windowing using Spark Stream
- Watermarking and mode clearing
- Join the flow and rally
- Addressing memory issues with Streaming joins
- Create arbitrary Streaming Sinks
- How to use Apache Spark to create Real-time Stream Processing applications
This course is suitable for people who
- Software engineers and architects who want to design and develop Bigdata engineering projects using Apache Spark.
- Programmers and developers who are eager to grow and learn data engineering using Apache Spark
Course specifications Apache Spark and Databricks – Stream Processing in Lakehouse
Course topics on 1/2024
Course prerequisites
- Spark Fundamentals and exposure to Spark Dataframe APIs
- Kafka Fundamentals and working knowledge of Apache Kafka
- Programming Knowledge Using Python Programming Language
- A Recent 64-bit Windows/Mac/Linux Machine with 8 GB RAM
Course images
Sample video of Apache Spark 3 course – Real-time Stream Processing using Python
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 1080p
Previous title:
Apache Spark 3 – Real-time Stream Processing using Python
Changes:
The version of 2023/11 compared to 2022/10 has increased the number of 71 lessons and the duration of 16 hours and 58 minutes. Also, the course quality has been increased from 720p to 1080p.
download link
File(s) password: www.downloadly.ir
Volume
12.7 GB
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