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A technology that has emerged as the frontrunner for handling Big Data processing is Hadoop. This efficient platform aids in storing, handling and retrieving enormous amounts of data in a variety of applications while also helping in deep analytics. As more and more companies are embracing Hadoop, the demand for Hadoop Developers is growing. KnowledgeHut’s training for Apache Hadoop will help you understand its critical aspects and the tools and techniques to harness its power. Join today for a brilliant career in Big Data Analytics.
On successful completion of the course, you will receive a Course Completion Certificate from KnowledgeHut.
What you will learn
Hadoop Hands On
Setting up Hadoop 1.0 on a single node cluster manual
Setting up Hadoop 2.0 on a single node setup manual
Multinode setup walkthrough manual
Joins Using MapReduce
Advanced MapReduce Hands On
MapReduce Design Patterns:
MapReduce Design Patterns Hands On:
Evaluation Test (30 marks)
Attended a 2 day weekend course by Knowledgehut for the CSM certification. The instructor was very knowledgeable and engaging. Excellent experience.Attended workshop in April 2018
The CSPO Training was awesome and great. The trainer Anderson made all the concepts look so easy and simple. Using his past experience as examples to explain various scenarios was a plus. Moreover, it was an active session with a lot of participant involvement which not only made it interactive but interesting as well. Would definitely recommend this Training.Attended workshop in July 2018
Great course. An interesting and interactive session to better understand how to succeed in formulating a business case and how to present it effectively.Attended workshop in May 2018
The training was very interactive and engaging with the attendees.Attended workshop in June 2018
There are no prerequisites for attending this course. This workshop will be beneficial for anybody wanting to learn more about Big Data and using Hadoop to perform essential data analytics.
Hadoop has now become the de facto technology for storing, handling, evaluating and retrieving large volumes of data. 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. KnowledgeHut brings you a full-fledged course on Big Data Analytics and Hadoop development that will teach you how to develop, maintain and use your Hadoop cluster for organizational benefit.
You will receive a course completion certificate from KnowledgeHut.
Virtual and face-to-face classes are held on both weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you. If you are in a time crunch, virtual classes may work better for you.
Your instructor-led live virtual classes will be held online, and you have the flexibility of attending from anywhere. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.
You may also attend these classes from your smart phone or tablet.
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
According to the ‘The Big Data Executive Survey 2013’ conducted by New Vantage Partners LLC, supported by the Fortune 1000 senior Business & Technology executives, 90% of the organizations interviewed have already started working with Big Data in some form or other. Big Data jobs are on the rise and a Hadoop certification could mean, more opportunities, better salary and a better career trajectory. With KnowledgeHut’s course you will be ready to implement best practices in maintaining your Hadoop cluster and performing Big Data analytics.
Please send in an email to email@example.com, and we will answer any queries you may have!