Apache storm certification training

Apache storm certification training
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About The Apache Storm Certification Training

This self-paced online training is designed to take you through a powerful, distributed, real-time computation system "Apache Storm" for processing fast and large streams of data. Apache Storm is powerful, distributed, real time computation system. Storm is a well-developed, stable and fun to use framework for enterprise grade real time big data analysis.

About ProICT

Who are we? ProICT LLC, is a registered online training provider found and led by the group of IT working professionals and experts. Our trainers are not only highly experienced and knowledgeable but also current IT working Professionals leading IT companies in USA, UK, Canada and other countries. We are ready to share our knowledge and years  of working experience with other professionals to assist and guide them  get ahead in career.


Goal: 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 data
  • Difference between Batch and Real-time Processing
  • How Apache Storm can be helpful for Real-time processing
 
Topics:
  • Big Data
  • Hadoop
  • Batch Processing
  • Real-time analytics
  • Storm origin
  • Architecture
  • Comparison with Hadoop and Spark
 
Skills:
  • Big Data use cases
  • Real vs Batch Processing
  • Why Apache Storm.
 
Hands-On:
  • You will learn various use cases of Apache Storm (a) Batch processing vs real-time processing (b) Aggregating click and impression data from different streams (c) Trending search on any e-commerce portal (d) Twitter Streaming
Goal: In this module, you will learn How to install Storm and various Groupings architecture. 
 
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:
  • Installation of Storm
  • Nimbus Node
  • Supervisor Nodes
  • Worker Nodes
  • Running Modes
  • Local Mode
  • Remote Mode
  • Stream Grouping
  • Shuffle Grouping
  • Fields Grouping
  • All Grouping
  • Custom Grouping
  • Direct Grouping
  • Global Grouping
  • None Grouping
 
Skills:
  • Storm installation and groupings
 
Hands-On:
  • Setting up Storm Custer
  • Various Components of Cluster
  • Storm Grouping
Goal: In this module, you will learn more about internal components of Storm and their working. You will be able to use Spouts and bolts and their mechanisms. Different type of Spouts and their working. Lifecycle of bolts 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 working
 
Topics:
  • Basic components of Apache Storm
  • Spout
  • Bolts
  • Running Mode in Storm
  • Reliable and unreliable messaging
  • Spouts
  • Introduction
  • Data fetching techniques
  • Direct Connection
  • Enqueued message
  • DRPC
  • How to create custom Spouts
  • Introduction to Kafka Spouts
  • Bolts
  • Bolt Lifecycle
  • Bolt Structure
  • Reliable and Unreliable Bolts
  • Basic topology example using Spout and bolts
  • Storm UI
 
Skills:
  • Apache Storm components (Spout & Bolts)
  • Creation of basic Topology in Apache Storm
 
Hands-On:
  • Trending Search topology
  • You will be given file of various search keywords you have to find top 10 search keywords in last 60 seconds at any moment.
Goal: In this module, you will learn about Apache Kafka, A highly scalable and widely used event messaging system. How it works and it’s high level components 
 
Objective: At the end of this module, you should be able to:
  • Set up Kafka and familiar with produce and consumer
  • Kafka Spout in Apache Storm
 
Topics:
  • What is Apache Kafka?
  • Setting up Standalone Kafka
  • How to use Kafka Producer
  • How to use Kafka Consumer
  • Hand on Kafka
  • How Kafka Spout works in Apache Storm and its configuration
 
Skills:
  • Basics of Apache Kafka
  • Kafka Spout in Apache Storm
 
Hands-On:
  • Given a file of search keywords you have to produce and consume from Kafka.
  • Extension of previous case study: Keyword source will be Kafka Spout not file.
Goal: In this module, you will learn about Trident topology. Performing complex transformations on the fly using the Trident topology: Map, Filter, Windowing and Partitioning operations. 
 
Objective: At the end of this module, you should be able to:
  • Trident in Apache Storm
  • Understanding Trident topology for failure handling, process
  • Understanding of Trident Spouts and its different types, the various Trident Spout interface and components, familiarizing with Trident Filter, Aggregator and Functions.
 
Topics:
  • Trident Design
  • Trident in Storm
  • RQ Class, Coordinator, Emitter bolt
  • Committer Bolts, Partitioned Transactional Spouts
  • Transaction Topologies
 
Skills:
  • Implementing Trident topology
 
Hands-On:
  • Twitter Data Analysis using Trident
Goal: In this module, you will work on industry level project. Design and its development. 
 
Objective: At the end of this module, you should be able to:
  • Set up Apache Storm cluster
  • Configuring Spout a Bolts
  • Developing topology
  • How to use Cassandra and Mongo in Apache Storm
 
Topics:
  • Product Catalog management system
 
Skills:
  • Familiar with Apache Storm
Hands-On:
  • Catalogue management system: You are getting product details and you have to send same data to multiple systems like Solr, Mongo, Cassandra, HDFS or MySQL etc. You have to develop topology which can perform the task.

The course is designed to introduce you to the concept of Apache Storm and explain the fundamentals 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 get familiar with Both standalone and cluster setup of Apache Storm. Storm topology, how it can be used in various real-time streaming use cases. Different components of Apache storm which includes Spouts and Bolts.  How Storm can be used in Distributed Computing. Difference between Storm and Hadoop. Real-time processing and batch processing. Working on some industrial use cases of Storm.
After completing this Training, you should be able to:
  • Introduction to Big Data and Real Time Big data processing
  • Batch Processing vs Real time Processing
  • Comparison with Hadoop and Spark
  • Installation of Storm
  • Various Grouping in Storm
  • Storm Spouts & Bolts
  • Basic components of Apache Storm and their working
  • Basic topology example using Spout and bolts
  • Kafka Introduction
  • Trident Topology
  • Transaction Topologies
  • Practical Case Studies

Apache Storm is a free and open source distributed real-time computation system. Storm makes it easy to reliably process unbounded streams of data, doing for real-time processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use! 

Storm has many use cases: real-time analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate.

 
This course is designed for professionals aspiring to make a career in Real-Time Big Data Analytics using Apache Storm and the Hadoop Framework
  • Software Professionals, Data Scientists, ETL developers and Project Managers are the key beneficiaries of this course.
  • Other professionals who are looking forward to acquiring a solid foundation of Apache Storm Architecture can also opt for this course.
Development experience with an object-oriented language is required. Also, fundamentals of networking and basic knowledge of command line& Linux would be advantageous. Experience with Java, git, Kafka will be beneficial. We have the following Courses that can be helpful –
  • Linux Fundamentals
  • Java certification training
  • Kafka training
The requirement for this course is a system with Intel i3 processor or above, minimum 8GB RAM and 25 GB HDD Storage, Chrome (latest version) / Mozilla with firebug (latest version), Java, Apache Storm and Kafka.
For Practical’s, we will help you to install and setup virtual machine with Ubuntu as the client using the Installation Guide. The detailed installation guides are provided in the LMS for setting up the environment and will be addressed during the session. In case you come across any doubt, the 24*7 support team will promptly assist you.

How soon after Signing up would I get access to the Learning Content?
As soon as you enroll in the course, your LMS (The Learning Management System) access will be functional. You will immediately get access to our course content in the form of a complete set of Videos, PPTs, PDFs, and Assignments. You can start learning right away.

What are the payment options?
For USD payment, you can pay by Paypal.