Apache Storm Training in Washington, DC, United States

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.

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.

2. 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.

3. 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.

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.

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.