HDP Developer: Apache Storm and Trident Fundamentals Course Objectives • Recognize differences between batch and real-time data processing Overview This course provides a technical introduction to the fundamentals • Define Storm elements including tuples, streams, spouts, of Apache Storm and Trident that includes the concepts, topologies, worker processes, executors, and stream terminology, architecture, installation, operation, and groupings management of Storm and Trident. Simple Storm and Trident • Explain and install Storm architectural components, code excerpts are provided throughout the course. The course including Nimbus, Supervisors, and ZooKeeper cluster also includes an introduction to, and code samples for, Apache • Recognize/interpret Java code for a spout, bolt, or topology Kafka. Apache Kafka is a messaging system that is commonly • Identify how to develop and submit a topology to a local or used in concert with Storm and Trident. remote distributed cluster • Recognize and explain the differences between reliable and Duration unreliable Storm operation Approximately 2 days • Manage and monitor Storm using the command-line client or browser-based Storm User Interface (UI) Target Audience • Define Kafka topics, producers, consumers, and brokers Hadoop developers who need to be able to design and build • Publish Kafka messages to Storm or Trident topologies Storm and Kafka applications using Java and the Trident API. • Define Trident elements including tuples, streams, batches, partitions, topologies, Trident spouts, and operations Prerequisites • Recognize and interpret the code for Trident operations, Students must have experience developing Java applications including filters, functions, aggregations, merges, and joins and using a Java IDE. Labs are completed using the Eclipse IDE • Recognize the differences between the different types of and Gradle. Students should have a basic understanding of Trident state Hadoop. • Identify how Trident state supports exactly-once processing semantics and idempotent operation Format • Recognize the differences in fault tolerance between different Self-paced, online exploration or types of Trident spouts Instructor led exploration and discussion • Recognize and interpret the code for Trident state-based operations Hortonworks University Hortonworks University is your expert source for Apache Hadoop training and certification. Public and private on-site courses are Certification available for developers, administrators, data analysts and other Hortonworks offers a comprehensive certification program that IT professionals involved in implementing big data solutions. identifies you as an expert in Apache Hadoop. Visit Classes combine presentation material with industry-leading hortonworks.com/training/certification for more information. hands-on labs that fully prepare students for real-world Hadoop scenarios.