Confluent Stream Processing Using KSQL & Apache Kafka Streams - Virtual English

The Confluent Kafka Platform is a data transmission environment that allows organize and manage large amounts of data, as well as the second, the entry points of organizations in social networks. With Confluent, this growing flow of data is organized in Publication / Subscription, often unstructured, but incredibly valuable, Kafka Confluent becomes a unified and easily accessible data platform that is always available for many uses throughout the organization. These uses can easily be covered in Big Data analysis in batches with Hadoop and the feeding of real-time monitoring systems, up to the more traditional large-volume data integration tasks that require a high-performance backbone, extraction, transformation and load (ETL). Confluent Kafka offer customers different training classes, in particular, for administrators (implementation), for developers and the most modern communication of data with KSQL.

During this hands-on course, you will learn how to use Confluent KSQL to transform, enrich, filter and add data flows in real time using a language similar to SQL. You will also learn how to use the Apache Kafka Streams lib to create streaming applications. In addition, you will learn how to test, monitor, protect and scale those applications. The course deals with how these applications integrate with the Confluent platform with Apache Kafka technology, Kafka Connect, Confluent Schema Registry, Confluent REST Proxy and Confluent Control Center. The architecture concepts and the components of KSQL and Kafka Streams will be analyzed.

PUE is official Training Partner of Confluent, is authorized by this multinational company to deliver official training in Confluent technologies.

PUE is accredited and recognized to deliver consulting services and mentoring on implementing Confluent solutions in business environment with the added value in the practical business-centered focus of knowledge transferred from the official courses.

This training 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.

The students should be familiar with developing in Java (preferred), .NET or Python. Attendees should also be familiar with the Apache Kafka architecture and Kafka client application development, either through prior experience or by taking Confluent Fundamentals of Apache Kafka and Confluent Developer Skills for Building Apache Kafka.