Processing Data with Apache Kafka and Apache Spark E-Learning
Order this unique E-Learning course today!
✔️ 1 year 24/7 access to rich, interactive videos with voice support.
✔️ Includes progress monitoring via detailed reports and chapter tests.
Why Choose This Training?
Dive into the world of fast and efficient data processing with Apache Kafka and Apache Spark, two powerful tools for managing and analyzing large-scale data. This course provides a comprehensive introduction to:
- Apache Spark, the open-source cluster computing framework, offering a fault-tolerant programming interface for data clusters.
- Fast processing of Hadoop data with Spark, enhancing scalability and efficiency.
You’ll gain practical skills to:
- Develop Spark applications using Scala, Java, or Python.
- Test and deploy applications to a cluster.
- Monitor clusters and applications to ensure smooth operations.
- Schedule resources for clusters and individual applications.
This training combines theoretical knowledge with practical exercises, preparing you for real-world applications.
Who Should Enroll?
This course is ideal for:
- Data engineers seeking to improve their expertise in large-scale data processing.
- Software developers aiming to build and deploy Spark applications.
- IT professionals interested in cluster computing and resource management.
- Students and beginners eager to understand Apache Spark and Kafka fundamentals.
Course content
Processing Data: Getting Started with Apache Kafka
Course: 1 Hour, 32 Minutes
- Course Overview
- Integrating Spark with Kafka
- Transforming Kafka Messages with PySpark
- Reading from Multiple Kafka Topics
- Setting up a Producer and Consumer with Kafka
- Publishing to Kafka from PySpark
- Transforming Data with Spark SQL
- Aggregations on Streaming Data
- Exploring Grouping and Ordering
- Defining Window Operations
- Creating Tumbling and Sliding Windows
- Course Summary
Processing Data: Integrating Kafka with Python & Using Consumer Groups
Course: 1 Hour, 24 Minutes
- Course Overview
- Integrating Spark with Kafka
- Transforming Kafka Messages with PySpark
- Reading from Multiple Kafka Topics
- Setting up a Producer and Consumer with Kafka
- Publishing to Kafka from PySpark
- Transforming Data with Spark SQL
- Aggregations on Streaming Data
- Exploring Grouping and Ordering
- Defining Window Operations
- Creating Tumbling and Sliding Windows
- Course Summary
Processing Data: Introducing Apache Spark
Course: 1 Hour, 44 Minutes
- Course Overview
- Integrating Spark with Kafka
- Transforming Kafka Messages with PySpark
- Reading from Multiple Kafka Topics
- Setting up a Producer and Consumer with Kafka
- Publishing to Kafka from PySpark
- Transforming Data with Spark SQL
- Aggregations on Streaming Data
- Exploring Grouping and Ordering
- Defining Window Operations
- Creating Tumbling and Sliding Windows
- Course Summary
Processing Data: Integrating Kafka with Apache Spark
Course: 1 Hour, 46 Minutes
- Course Overview
- Integrating Spark with Kafka
- Transforming Kafka Messages with PySpark
- Reading from Multiple Kafka Topics
- Setting up a Producer and Consumer with Kafka
- Publishing to Kafka from PySpark
- Transforming Data with Spark SQL
- Aggregations on Streaming Data
- Exploring Grouping and Ordering
- Defining Window Operations
- Creating Tumbling and Sliding Windows
- Course Summary
Processing Data: Using Kafka with Cassandra & Confluent
Course: 42 Minutes
- Course Overview
- Installing and Setting up Apache Cassandra
- Integrating Spark with Kafka and Cassandra
- Confluent and Kafka
- Setting up the Confluent Platform
- Working with Kafka Using Confluent
- Course Summary
Start Your Learning Journey Today!
✔️ Explore interactive content tailored to your learning pace.
✔️ Test and apply your knowledge with hands-on exercises.
✔️ Transform your skills in big data processing with Apache Kafka and Apache Spark.
Order your E-Learning course now and take your data processing expertise to the next level!
