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Item number: 107754129

Processing Data with Apache Kafka and Apache Spark Training

Item number: 107754129

Processing Data with Apache Kafka and Apache Spark Training

159,00 192,39 Incl. tax

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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