Confluent Stream Processing Using Apache Kafka® Streams and KSQL, BITROCK S.r.l., mercoledì, 18. settembre 2019

Course Objectives
During this instructor-led, hands-on course, you will learn how to use Confluent KSQL to transform, enrich, filter and aggregate streams of real-time data using a SQL-like language. You will also learn how to use the Apache Kafka Streams library to build streaming applications. Furthermore, you will learn how to test, monitor, secure and scale those streaming applications. You will learn how these applications integrate with the Confluent Platform powered by Apache Kafka, Kafka Connect, Confluent Schema Registry, Confluent REST Proxy as well as the ConfluentControlCenter. You will learn the role of streaming in the modern data distribution pipeline, discuss architectural concepts and components of KSQL and Kafka Streams.
Who Should Attend?
This course is designed for application developers, ETL (extract, transform, and load) developers, DevOps engineers and data scientists who need to interact with Kafka clusters as a source of real-time data streams, and transform, enrich and join those streams to discover anomalies, analyze behavior or monitor complex systems.
Course Prerequisites
Attendees should be familiar with developing in Java (preferred),.NET or Python. Attendees should also be familiar with the essentials of Apache Kafka. Participants are required to provide a laptop computer with unobstructed internet access to fully participate in the class.
Course Duration
Three days.
Course Content Overview

KSQL Use Cases
KSQL Overview and Ecosystem
Installing KSQL
Using KSQL
Deploying and Operating KSQL
Kafka Streams Architecture
Kafka Streams Application Anatomy
Kafka Streams DSL
Testing Kafka Streams Apps
Monitoring Kafka Streams Apps
Securing Kafka Streams Apps
Sizing & Scaling Kafka Streams Apps
An Introduction to Kafka Streams for Data Processing

Hands-On Exercises
Throughout the course, Hands-On Exercises reinforce the topics being discussed.

The Client may cancel the participation in the courses at any time, by giving written notice to Bitrock s.r.l., by e-mail, to the address It is also understood that, in case of cancellation, the Customer will be required to pay, as a penalty, a percentage of the individual payment equal to:

Up to 30 days from the start of the course: None

Between 30 and 10 days from the start of the course: 50%

9 days or less, or no communication: 100%

The substitution of the participants can be accepted at any time before the reception of the course activation official e-mail (usually 2 or 3 days before the start date), provided it is communicated in writing.
Bitrock s.rl. reserves the right to cancel or postpone the course, giving notice (via e-mail or telephone) to the Client within 1 week of the course start date.
Any fees already received will be returned to the Customer or, in agreement with the same, will be charged as advance payment for eventual enrollment in courses on subsequent dates.


Confluent Stream Processing Using Apache Kafka® Streams and KSQL

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