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Apache Storm is an open-source and distributed stream processing computation framework used for processing large volumes of high-velocity data.This training will help you learn reliable real-time data processing capabilities of Storm and, how Storm is different from Hadoop & Kafka. You can smartly use Apache Storm at various places such as Ecommerce, Supply chain, Streaming etc.
ABOUT THE COURSE
The course is designed to introduce you to the concept of Apache Storm and explain the basics of Storm. The course will provide an overview of the structure and mechanism of Storm. Learn about Apache Storm, its architecture and concepts. You will become familiar with Apache Storm standalone and cluster configuration. Storm topology, how it can be used in various streaming use cases. Different components of the Apache storm, which includes nozzles and screws. How Storm can be used in Distributed Computing. Difference between Storm and Hadoop. Real-time processing and batch processing. Working on some Storm industrial use cases.
WHAT ARE THE OBJECTIVES OF THIS COURSE?
After completing this training, you should be able to: Introduction to Big Data and Real-Time Big Data Processing Batch vs. Real-Time Processing Comparison to Hadoop and Spark Installing Storm Various Clusters in StormStorm Spouts & Bolts Basic Components of Apache Storm and its Basic Working Topology Example Using Spout and Introduction to Kafka Trident Topology Transaction Topologies Case Studies
INTRODUCTION TO BIG DATA AND BIG DATA PROCESSING IN REAL TIME. Objective: In this module, you will learn about Big Data and how it is solving real problems. . Objective: At the end of this module, you should be able to: Explain the use of Big dataDifference between Batch and real-time processing How Apache Storm can be useful for real-time processing Topics: Big DataHadoopBatch ProcessingReal-time analytics Origin of storm Architecture comparison with Hadoop and Spark Skills: Big Data use casesReal vs Batch ProcessingWhy Apache Storm. Hands-on: You will learn various Apache Storm use cases (a) Batch vs. real-time processing (b) Aggregating click and impression data from different streams (c) Trending on any e-commerce portal (d) Streaming Twitter. Click on the "go to course" button to learn more details at edureka!
INSTALLATION OF STORMS AND GROUPINGS. Objective: In this module, you will learn how to install Storm and various cluster architectures. Objective: At the end of this module, you should be able to: Install Apache Storm in cluster mode Nimbus, Supervisor and Worker Nodes Groupings in Storm Topics: Installing StormNimbus NodeSupervisor NodesWorker NodesRunning ModesLocal ModeRemote ModeStream GroupingShuffle GroupingFields GroupingArouping Grouping Grouping Grouping Grouping Grouping installation and clusters Practical: Configuring Storm Custer Various components of the ClusterStorm cluster . Click on the "go to course" button to learn more details at edureka!
STORM PIPES AND SCREWS. Objective: In this module, you will learn more about the internal components of Storm and how they work. You will be able to use nozzles and screws and their mechanisms. Different types of nozzles and their operation. Screws life cycle and it's working. Objective: At the end of this module, you should be able to: Spouts and how to create your custom Spout Different types of bolts and job topics: Apache Storm BasicsSpoutBolts How to Run in Storm Trusted and Unreliable Messages Spouts Introduction Introduction Extraction Data Data Transfer Direct Connection Message Queued DRP CHow to Create Custom Messages Introduction Kafka SpoutsBoltsBolt LifecycleBolt Structure Reliable and Unreliable Bolts Basic Topology Example Using Spout and BoltsStorm UI Skills: Apache Storm Components (Spout & Bolts) Basic Topology Creation in Apache Storm Hands -On: Trend Search Topology You will be provided with a file of multiple search keywords that you should find in the last 10 search keywords in the last 60 seconds at any time. . Click on the "go to course" button to learn more details at edureka!
KAFKA INTRODUCTION. Objective: In this module, you will learn about Apache Kafka, a widely used and highly scalable event messaging system. How it works and its high-level components Objective: At the end of this module, you should be able to: Configure Kafka and become familiar with the Kafka Spout product and consumer in Apache Storm Topics: What is Apache Kafka? Configuring Standalone Kafka How to use Kafka Producer How to use Kafka Consumer Hand in Kafka How Kafka Spout works in Apache Storm and its configuration Skills: Apache Kafka Basics Kafka Spout in Apache Storm Hands-On: Given a search keyword file, you should produce and consume from Kafka. : The keyword source will be Kafka Spout, not the file. . Click on the "go to course" button to learn more details at edureka!
Instructor-led sessions will address all your concerns in real time.
Unlimited access to the course's online learning repository.
Develop a project with live accompaniment, based on any of the cases seen
In each class you will have practical tasks that will help you apply the concepts taught.
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