Processing Data with Apache Kafka and Apache Spark Training
Processing Data with Apache Kafka and Apache Spark Training
Order this unique Training E-Learning course Processing Data with Apache Kafka and Apache Spark online, 1 year 24/7 access to rich interactive videos and tests.
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Processing Data with Apache Kafka and Apache Spark E-Learning
Order this unique E-Learning Processing Data with Apache Kafka and Apache Spark course online, 1 year 24/7 access to rich interactive videos, voice, progress monitoring through reports tests.
Explore Apache Spark, the open-source cluster computing framework that provides a fault-tolerant
programming interface for clusters.
Apache Spark is a cluster computing framework for fast processing of Hadoop data. Spark applications can be written in Scala, Java or Python. In this path you will learn how to develop Spark applications using Scala, Java or Python. You will also learn how to test and deploy applications to a cluster, monitor clusters and applications and schedule resources for clusters and individul applications.
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
Language | English |
---|---|
Qualifications of the Instructor | Certified |
Course Format and Length | Teaching videos with subtitles, interactive elements and assignments and tests |
Lesson duration | 3 Hours |
Progress monitoring | Yes |
Access to Material | 365 days |
Technical Requirements | Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge. |
Support or Assistance | Helpdesk and online knowledge base 24/7 |
Certification | Certificate of participation in PDF format |
Price and costs | Course price at no extra cost |
Cancellation policy and money-back guarantee | We assess this on a case-by-case basis |
Award Winning E-learning | Yes |
Tip! | Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform. |
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