The need to design and develop Big Data solutions is of paramount importance in this age of data explosion. The demand for qualified and trained professionals who can leverage the power of Apache Hadoop and deliver useful insights is great. KnowledgeHut therefore brings you a course for designing and building Big Data applications using Apache Hadoop and associated tools such as Flume, Oozie, Crunch and other tools in the Enterprise Data Hub (EDH) that will help you offer solutions to real-world problems and challenges.
With in-depth practical and hands on exercises, you will learn the entire process of designing and building solutions for data ingestion, data management, storage and data processing and ultimately generating data in an easy to understand form to the user.
On successful completion of the course, you will receive a Course Completion Certificate from KnowledgeHut with Credits (1 credit per hour of training).
Please note, that you need to bring your own laptop for this training. Check with the trainers for minimum configuration requirements
On completion of the course you will learn:
The workshop had excellent speaker, good study material, good games and activities, interactive, fun with nice arrangement of conference hall and food.Attended workshop in April 2018
I have completed my CSM training through Knowledge hut in the month of April,18. I am very much satisfied with the sessions. The trainer was very good. The course was very well structured and it gave me a good insight into the true values of scrum and how one can implement the agile values and principles to their projects.Attended workshop in April 2018
Knowledge Hut experience has been very good, this is my second registration with them directly and had total 3 registrations with them. The Trainer, Venue, Course material, Food and other logistics are well organized and managed. Special thanks to Lalit who takes extra effort to help and coordinate on everything. I am happy to take up other courses offered with Knowledge Hut and recommend others also to consider. Thanks. :)Attended workshop in April 2018
This was my first training with Knowledgehut and what an amazing experience it turned out to. Right from the logistics to contents, methodology - Everything was so perfect. Instructor Ashwinee, was highly professional and experienced. He understood the pulse of the class and gave them plenty of real time examples in highly interactive env with Fun too which is very essential in such professional trainings. Overall, a great experience and would love to go for more trainings with them in future.Attended workshop in April 2018
Data is everywhere and managing, storing, and processing this data is a huge task for organizations. But it has to be done in order to ensure relevant business insights and business continuity. Hadoop with its scalable and flexible architecture provides vast amounts of data storage. Cloudera offers Hadoop distribution for enterprise levels. Our course uses an interactive approach to helping you understand the Hadoop ecosystem and the associated technologies and come up with effective solutions for Big Data problems.
No, there is no online/virtual course for this. This training requires in-depth knowledge of Hadoop, which you get from our experts who lead the workshop.
On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.
You will receive 1 credit per hour of learning.
Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding). Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund
Please send in an email to firstname.lastname@example.org, and we will answer any queries you may have!
This course is apt for developers, engineers, and architects who want to use Hadoop and related tools to solve Big Data challenges and problems.