Apache Storm Training in Washington, DC, United States

Learn Apache Storm to process real-time data streams & perform complex transformations using Trident Topology

  • 18 hours of Instructor-led live online training
  • Comprehensive and hands-on learning sessions
  • Understand the fundamentals of Big Data and different types of data analytics
  • Learn about Storm architecture and real-time stream processing for data analytics
  • Get in-depth knowledge on Storm and using spouts and bolts
  • Deep dive into trident topology to perform complex transformations
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Why Learn Apache Storm?

Apache Storm is an advanced and distributed open source stream engine processing big data at an extremely high speed. Written in Clojure programming language, it is a real-time computational system which makes it easier to process unbounded streams of data. One of its advantages is that it can be used on any programming language. Built to accept tons of data flowing in with high speed from various sources, it analyses and publishes real-time updates to a UI or any other specified target place.

Apache Storm training will help you master its concepts including its architecture, installation, planning, and configuration. You will learn to leverage the power of Storm and use it for real-time processing of big data. The course also helps you get an insight on the way Storm interfaces with other frameworks like Kafka, Java, and Cassandra.  The explosion of big data and the fact that organizations have realized the potential of using tools such as Storm to analyse it, ensures that Apache Storm experts will have great opportunities to contribute to these enterprises and become indispensable to them.

Many software companies face big data issues and to solve this they look forward to professionals who are talented and certified to manage such big data at a faster pace. 


Individual Benefits:

Getting an Apache Storm certification will ensure several benefits to the individual:

  • According to Frost-and-Sullivan report, the Big Data market is expected to reach $122 billion in 6 years which will increase the number of Apache Storm jobs
  • The salary of Apache Storm developers is  $59,475 per year as per ZipRecruiter
  • An individual with Apache Storm course can use any programming language in Storm framework
  • IBM says that there will be 2.7 million jobs available for the data professionals in the coming years  
  • An individual can process huge volumes of data with Apache Storm training. 

Organizational Benefits:

For companies looking for fast deliveries and high productivity in big data analytics, Apache Storm is the need of the hour. It has the following benefits. 

  • Organizations can start data processing to gain early profit as soon as Storm is installed in their systems
  • Organizations can perform data refresh and end-to-end delivery response in seconds 
  • With Apache Storm, organizations can process data without losing anything, which is a major concern of all the organizations
  • Organizations are easily detecting frauds by early risk mitigation with Apache Storm
  • Using Apache Storm, organizations can quickly redeploy unfinished tasks.    

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What you will learn

1. Big Data and its Uses

Learn what is Big Data and relevant concepts, where it is used, and various types of data analytics

2. Storm Introduction

Understand the concepts of Storm architecture, use cases, & its usage in real-time stream processing

3. Storm Installation and Configuration

Learn how to set up Storm and what system configuration is needed to create various topologies

4. Spouts and Bolts

Get the knowledge on how to use spouts & bolts along with their mechanism and life cycle

5. Storm Trident

Learn how to handle failures in Trident topologies & how to perform real-time computing in Storm

6. Real-time industry level projects

Get your concepts clear by working on real-time projects on Twitter, Spotify and travel websites

Prerequisites
There are no prerequisites required to attend the Apache Storm training. But, having elementary knowledge of programming languages like Java, Object-Oriented Programming, Hadoop, Linux, will help you understand concepts easily.

Who should attend the Apache Storm course?

  • Software Professionals
  • Data Scientists
  • ETL Developers
  • Project Managers
  • Mainframe Professionals
  • Analytics professionals
  • Research professionals
  • IT developers and testers
  • Big Data Analysts and Hadoop Professionals
  • Professionals who want to acquire a good understanding of Apache Storm
  • An individual interested to perform real-time analytics

KnowledgeHut Experience

Instructor-led Live Classroom

Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.

Curriculum Designed by Experts

Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the latest training!

Learn through Doing

Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be applied effectively.

Mentored by Industry Leaders

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.

Curriculum

Learning Objectives: Learn about the use of Big data, difference between Batch and Real-time Processing. How Apache Storm can be helpful for Real-time processing and so on.

Topics:

  • What is Big Data, Big Data Analytics: Batch Vs Real Time
  • Hadoop for Batch Analytics
  • Shortcomings of Hadoop
  • Storm for Real Time Analytics
  • What is Storm
  • Use Cases of Storm
  • Components of Storm
  • Properties of Storm
  • Storm Vs Hadoop
  • Storm Data Model
  • Storm Architecture
  • Storm Bolt
  • Storm Topology
  • Serialization-Deserialization
  • Types of Topologies

Hands-on:

  • You will learn various use cases of Apache Storm-
  • Batch processing vs real-time processing
  • Aggregating click and impression data from different streams
  • Trending search on any e-commerce portal
  • Twitter Streaming

Learning Objectives: Learn How to install Storm and various Groupings architecture

Topics:

  • Storm Installation
  • Storm Running Modes
  • Creating First Storm Topology

Hands-on:

  • Setting up Storm Cluster
  • Various Components of Cluster
  • Storm Grouping

Learning Objectives: Learn 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 its working.

Topics:

  • Spouts
  • Types of Spouts
  • Structure of Spout
  • Bolt
  • Structure of Bolt
  • Stream Groupings
  • Ack and Fail
  • Ack Timeout
  • Anchoring
  • Topology Lifecycle
  • Data Ingestion in Storm
  • Topology–Connecting Spout and Bolt

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

Learning Objectives: Learn about Trident topology. Performing complex transformations on the fly using the Trident topology: Map, Filter, Windowing and Partitioning operations.

Topics:

  • Trident
  • Trident Data Model
  • Stateful Processing using Trident
  • Operations in Trident
  • Trident State
  • Trident Topology
  • Fault-tolerance Levels
  • Pipelining
  • Trident Advantages

Hands-on:

  • Twitter Data Analysis using Trident

Projects

Real-time analysis in Twitter

Storm can be used in Twitter systems for many purposes like, real-time analytics, personalization, search, revenue optimization and many more. One of the most important Storm applications is isolation scheduler, which makes it feasible to utilize the same cluster for production applications and in-development applications as well. It provides an efficient way for capacity planning.

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Real-time pipelining in Spotify

Spotify is known for streaming music to over 50 million active users and 10 million subscribers. It provides a wide range of real-time features like music recommendation, monitoring, analytics, ads targeting, and playlist creations.

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Real-time pipelining in online travel Websites

Wego is a comprehensive travel metasearch engine, operating worldwide and used by countless travellers to get more options to pay less and travel more. Wego compares and displays real-time flight schedules, hotel availability, and price and displays other travel sites around the globe.

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FAQs

Apache Storm Course

There are no prerequisites required to attend the Apache Storm training. But, having elementary knowledge of the programming languages like Java, Object-Oriented Programming, Hadoop, Linux, will help you understand the concepts easily.

Big data explosion has created huge avenues for data analysis and has made it the most sought after career option. There is a huge demand for developers and engineers who can use tools such as Storm to derive business insights. This course will prepare you for everything you need to learn about Big Data while gaining practical experience on Storm.  After completing our course, you will become proficient in Apache Storm Development.

  • Software Professionals
  • Data Scientists
  • ETL Developers
  • Project Managers
  • Mainframe Professionals
  • Analytics professionals
  • Research professionals
  • IT developers and testers
  • Big Data Analysts and Hadoop Professionals
  • Professionals who want to acquire a good understanding of Apache Storm
  • An individual interested to perform real-time analytics

Minimum Requirements:

  • Operating system such as Mac OS X, Windows or Linux
  • A modern web browser such as FireFox, Chrome
  • Internet Connection

Big Data analytics has proven to provide significant business benefits and more and more organizations are seeking to hire professionals who can extract crucial information from structured and unstructured data. Hadoop for many years was the undisputed leader in data analytics but a technology that has now proven itself to be faster and more efficient is Apache Storm.

Designed to run independent of Hadoop, Spark can be used in real-time data analytics and process queries within seconds. Its other benefits such as ease of use, compatibility with other technologies, and ability to perform complex analytics have made it even more popular. With  the demand for business intelligence and analytics soaring, it is the right time to pursue a career in Apache Storm.

After completing our course, you will be able to understand:

  • Set up Apache Storm cluster
  • Configuring Spout and Bolts
  • Developing topology

There are no restrictions but participants would benefit if they have basic computer knowledge.

Workshop Experience

All of the training programs conducted by us are interactive in nature and fun to learn as a great amount of time is spent on hands-on practical training, use case discussions, and quizzes. An extensive set of collaborative tools and techniques are used by our trainers which will improve your online training experience.

The Apache Storm training conducted at KnowledgeHut is customized according to the preferences of the learner. The training is conducted in three ways:

Online Classroom training: You can learn from anywhere through the most preferred virtual live and interactive training

Self-paced learning: This way of learning will provide you lifetime access to high-quality, self-paced e-learning materials designed by our team of industry experts

Team/Corporate Training: In this type of training, a company can either pick an employee or entire team to take online or classroom training. Flexible pricing options, standard Learning Management System (LMS), and enterprise dashboard are the add-on features of this training. Moreover, you can customize your curriculum based on your learning needs and also get post-training support from the expert during your real-time project implementation.

The sessions that are conducted are 24 hours of live sessions, with 70+ hours MCQs and Assignments and 22 hours of hands-on sessions.

Yes, our lab facility at KnowledgeHut has the latest version of hardware and software and is very well-equipped. We provide Cloudlabs so that you can get a hands-on experience of the features of Apache Spark. Cloudlabs provides you with real-world scenarios can practice from anywhere around the globe. You will have an opportunity to have live hands-on coding sessions. Moreover, you will be given practice assignments to work on after your class.

Here at KnowledgeHut, we have Cloudlabs for all major categories like cloud computing, web development, and Data Science.

This Apache Storm training course have three projects, viz Real-time analysis in Twitter, Real-time pipelining in Spotify, Real-time pipelining in online travel Websites.

  1. Real-time analysis in Twitter: Storm can be used in twitter systems for many purposes like, real-time analytics, personalization, search, revenue optimization and many more. One of the most important storm applications is isolation scheduler, which makes it feasible to utilize the same cluster for production applications and in-development applications as well. It provides an efficient way for capacity planning.There are many challenges in Twitter like feed personalization improving result search etc. Twitter uses Storm to power a variety of its systems – from the personalisation of your feed, revenue optimisation, to improving search results and other such processes. Because Twitter developed Storm, it integrates seamlessly with the rest of Twitter’s infrastructure – the database systems (Cassandra, Memcached, etc.), the messaging environment (Mesos), and the monitoring system.
  1. Real-time pipelining in Spotify: Spotify is known for streaming music to over 50 million active users and 10 million subscribers. It provides a wide range of real-time features like music recommendation, monitoring, analytics, ads targeting, and playlist creations. To achieve this, Spotify utilises Apache Storm. Stacked with Kafka, Memcached, and netty-zmtp based messaging environment, Apache Storm enables Spotify to build low-latency fault-tolerant distributed systems easily. Their personalization Storm topology subscribes to different user events, decorates the event with entity metadata (like genre of a song) which is read from Cassandra, then groups the events per user and computes different user attributes by some algorithmic combination of aggregation and derivation.
  1. Real-time pipelining in online travel Websites: Wego is world’s comprehensive travel metasearch engine, operating worldwide and used by countless travellers to get more options to pay less and travel more. Wego compares and displays real-time flight schedules, hotel availability, and price and displays other travel sites around the globe.
    Here, Apache Storm streams real-time metasearch data from affiliates to end-users. The topology concepts in Storm resolves concurrency issues and at the same time helps them to relentlessly integrate, dissect and clean the data. Additionally, the tools provided in Storm enable incremental updates to enhance their data.

The Learning Management System (LMS) provides you with everything that you need to complete your projects, such as the data points and problem statements. If you are still facing any problems, feel free to contact us.

After the completion of your course, you will be submitting your project to the trainer. The trainer will be evaluating your project. After a complete evaluation of the project and completion of your online exam, you will be certified a Spark and Scala professional.

Online Experience

We provide our students with Environment/Server access for their systems. This ensures that every student experiences a real-time experience as it offers all the facilities required to get a detailed understanding of the course.

If you get any queries during the process or the course, you can reach out to our support team.

The trainer who will be conducting our Apache Storm certification has comprehensive experience in developing and delivering Storm applications. He has years of experience in training professionals in Apache Storm. Our coaches are very motivating and encouraging, as well as provide a friendly learning environment for the students who are keen about learning and making a leap in their career.

Yes, you can attend a demo session before getting yourself enrolled for the Apache Storm training.

All our Online instructor-led training is an interactive session. Any point of time during the session you can unmute yourself and ask the doubts/ queries related to the course topics.

There are very few chances of you missing any of the Storm training session at KnowledgeHut. But in case you miss any lecture, you have two options:

  • You can watch the online recording of the session
  • You can attend the missed class in any other live batch.

The online Apache Spark course recordings will be available to you with lifetime validity.

Yes, the students will be able to access the coursework anytime even after the completion of their course.

Opting for online training is more convenient than classroom training, adding quality to the training mode. Our online students will have someone to help them any time of the day, even after the class ends. This makes sure that people or students are meeting their end learning objectives. Moreover, we provide our learners with lifetime access to our updated course materials.

In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

This will be live interactive training led by an instructor in a virtual classroom.

We have a team of dedicated professionals known for their keen enthusiasm. As long as you have a will to learn, our team will support you in every step. In case of any queries, you can reach out to our 24/7 dedicated support at any of the numbers provided in the link below: https://www.knowledgehut.com/contact-us

We also have Slack workspace for the corporates to discuss the issues. If the query is not resolved by email, then we will facilitate a one-on-one discussion session with one of our trainers.

Finance Related

We accept the following payment options:

  • PayPal
  • American Express
  • Citrus
  • MasterCard
  • Visa

KnowledgeHut offers a 100% money back guarantee if the candidates withdraw from the course right after the first session. To learn more about the 100% refund policy, visit our refund page.

If you find it difficult to cope, you may discontinue within the first 48 hours of registration and avail a 100% refund (please note that all cancellations will incur a 5% reduction in the refunded amount due to transactional costs applicable while refunding). Refunds will be processed within 30 days of receipt of a written request for refund. Learn more about our refund policy here.

Typically, KnowledgeHut’s training is exhaustive and the mentors will help you in understanding the concepts in-depth.

However, if you find it difficult to cope, you may discontinue and withdraw from the course right after the first session as well as avail 100% money back. To learn more about the 100% refund policy, visit our Refund Policy.

Yes, we have scholarships available for Students and Veterans. We do provide grants that can vary up to 50% of the course fees.

To avail scholarships, feel free to get in touch with us at the following link:

https://www.knowledgehut.com/contact-us

The team shall send across the forms and instructions to you. Based on the responses and answers that we receive, the panel of experts takes a decision on the Grant. The entire process could take around 7 to 15 days

Yes, you can pay the course fee in instalments. To avail, please get in touch with us at https://www.knowledgehut.com/contact-us. Our team will brief you on the process of instalment process and the timeline for your case.

Mostly the instalments vary from 2 to 3 but have to be fully paid before the completion of the course.

Visit the following to register yourself for the Apache Storm Training: https://www.knowledgehut.com/big-data/apache-storm-training/schedule

You can check the schedule of the Apache Storm Training by visiting the following link: https://www.knowledgehut.com/big-data/apache-storm-training/schedule

We have a team of dedicated professionals known for their keen enthusiasm. As long as you have a will to learn, our team will support you in every step. In case of any queries, you can reach out to our 24/7 dedicated support at any of the numbers provided in the link below: https://www.knowledgehut.com/contact-us

We also have Slack workspace for the corporates to discuss the issues. If the query is not resolved by email, then we will facilitate a one-on-one discussion session with one of our trainers.

Yes, there will be other participants for all the online public workshops and would be logging in from different locations. Learning with different people will be an added advantage for you which will help you fill the knowledge gap and increase your network.

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Apache Storm Course in Washington, DC

Leading Apache Storm Course in Washington

Washington D.C., the capital city of the most powerful nation of the United States is a closely packed city on the Potomac River. This capital city, named after the first president of United States, George Washington is one of the most influential cities in the world. The city has the largest metropolitan area with a fair population of 6.2 million. The city has a wide base for its economy. The IT sector contributes a lot to the economy of the city. The residents are technology friendly and keep up with the newest trends and big data is the latest favourite in town. With this, Apache storm has gained enough appreciation as a big data processing system. Learn this tool with Apache Storm Course in Washington with KnowledgeHut Academy.

About Apache Storm Training in Washington

An open source computational system, Apache Storm is a real time processor for processing data streams. The tool is similar to Hadoop, the difference being Hadoop processes batch data and Apache storm processes unbound streams of data. Apache has now become a standard tool that allows you to send large amounts of data. A distributed real time processing system written in Clojure programming language; Apache has recently become a favourite of many companies across the world. Learn this tool with Apache Storm Training in Washington and gain an insight on the use of real time analytics.

What you get with Apache Storm certification in Washington

This training comprises of 18 hours of interactive learning sessions with the instructors. In these online sessions, the trainers will cover all the major and important concepts students need to know to work with Storm. Trainees in these lectures will learn about the use of Big Data, usefulness of Apache storm, the difference between real-time processing and batch processing and much more. The course also includes 70 hours of MCQ?s and practice sessions to encourage learning by practicing, so you can end up working on your weak areas. The Apache Storm online training in Washington will help students get the hang of Apache in no time.

Leading Apache Storm course at KnowledgeHut

This workshop is delivered by world class trainers who have years of experience working in the industry. With the help of these trainers, candidates will be able to use Apache Storm for data processing very easily. For imparting practical knowledge of Storm, the course also includes Live projects and use cases.

So, what are you waiting for? Enrol today in Apache Storm certification in Washington with the KnowledgeHut Academy.

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