Data Streaming

Solve real-world data problems and create data-driven workflows for easy data movement and processing at scale with Azure Data Factory

A beginner's guide to mastering real-time stream processing using Apache Kafka and Kafka Streams API

Learn core Apache Kafka features along with creating Java, Node.js and Python producers and consumers

Explore the Apache Kafka ecosystem and architecture, and learn client API programming in Java

Use Apache Flink and its ecosystem to process real-time big data

Handle high volumes of data at high speed. Architect and implement an end-to-end data streaming pipeline

Hands-On Course - Kafka Security Setup in AWS with SSL Encryption and Authentication, SASL Kerberos, ACL in Zookeeper

Learn the Apache Kafka ecosystem, core concepts, operations, Kafka API, and build your own producers and consumers

Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL API

Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java

Advanced analytics on your Big Data with latest Apache Spark 2.x

Building scalable and fault-tolerant streaming applications made easy with Spark streaming

Start from scratch and learn how to administer Apache Kafka effectively for messaging

Dig deep into administering Oracle Goldengate 11g using this comprehensive cookbook. From the very basics of installation to advanced features like migration, you�ll learn the practical way through code scripts and examples.

Java developers can expand into real-time data processing with this fantastic guide to Storm. Using a cookbook approach with lots of practical recipes, it’s the user-friendly way to learn how to process unlimited data streams.