Apache Spark Streaming 3.0 with Scala | Rock the JVM
Apache Spark Streaming 3 with Scala | Rock the JVM
Stream big data with Apache Spark Streaming 3 and integrate with Kafka, JDBC, Cassandra and more, hands-on, in Scala
Product Brand: Udemy
4.6
Udemy Coupon Code for Apache Spark Streaming 3.0 with Scala | Rock the JVM Course. Stream big data in real time with Apache Spark 3.0 and integrate it with Kafka, JDBC, Cassandra and more
Created by Daniel Ciocîrlan | 7 hours on-demand video course
Apache Spark Course Overview
Apache Spark Streaming 3.0 with Scala | Rock the JVM
In this course, we will learn how to stream big data with Apache Spark 3. You’ll write 1500+ lines of Spark code yourself, with guidance, and you will become a rockstar. This course is for Spark & Scala programmers who now need to work with streaming data, or who need to process data in real time. This course is for established programmers with experience with both Scala and Spark at least at the level of the Rock the JVM essential courses for Scala and Spark. I already assume a solid understanding of general programming fundamentals.
What you’ll learn
- Process data as it arrives
- Handle data of any scale in real time
- Use Structured Streaming and SQL on streaming data
- Use low-level, high-control APIs with DStreams
- Integrate Spark with Kafka, JDBC, Cassandra
- Master advanced concepts including window functions and watermarking
Recommended Apache Spark Course
Apache Spark 3 – Databricks Certified Associate Developer
Apache Spark 3 – Databricks Certified Associate Developer
Welcome to Apache Spark 3 – Databricks Certified Associate Developer Course. Apache Spark has become the standard big-data cluster processing framework in today’s data-driven world. Apache Spark is used for Data Engineering, Data Science, and Machine Learning. I will teach you everything you need to know about starting with Apache Spark.
You will learn the Architecture of Apache Spark and use its Core APIs to manipulate complex data. You will write queries to perform transformations such as Join, Union, GroupBy, and more. This course is for beginners. You don’t need any previous knowledge of Apache Spark.
Taming Big Data with Apache Spark and Python – Hands On!
Taming Big Data with Apache Spark and Python – Hands On!
“Big data” analysis is a hot and highly valuable skill – and this Taming Big Data with Apache Spark and Python – Hands On! course will teach you the hottest technology in big data: Apache Spark and specifically PySpark. Employers including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You’ll learn those same techniques, using your own Windows system right at home. It’s easier than you might think.
Who this course is for
- Scala & Spark programmers who need to set up data pipelines in real time
- Data scientists who need to work with streaming data
Taught by Daniel Ciocîrlan
