3 Months FREE Access to all our E-learning courses when you buy any course with us
The explosion of data has greatly enhanced the significance of Hadoop, as organizations worldwide have found Hadoop to be the best platform for managing and processing big data and make the best decisions to transform their business.
Trained Hadoop Data Analysts are much in demand for their expertise on using the Hadoop platform and leverage its best practices to work with big data faster and more effectively.
Our Hadoop Data Analyst course is for those who wish to access, manipulate, and analyze massive data sets using SQL and familiar scripting languages on Hadoop. Learn how to transform data using Apache Pig, Apache Hive, and Cloudera Impala and analyze it using filters, joins, and user-defined functions familiar from other technologies.
On successful completion of the course, you will receive a Course Completion Certificate from KnowledgeHut with Credits (1 credit per hour of training).
1.1 Big Data Introduction
1.2 Hadoop Introduction
5.1 Writing a MapReduce Program
7. Data Analytics using Pentaho as an ETL tool
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.
Yes, KnowledgeHut does offer virtual training for Big Data Analytics. Call us for more information on the same.
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 which totals to 24 PDUs for the entire workshop.
To make the most effective use of the Hadoop platform, and fully analyze and utilize every aspect of data for maximized productivity, training is of paramount importance. Trained Hadoop Data Analysts will be able to leverage best practices to work with big data faster and more effectively. Our Hadoop Data Analyst course is for those who wish to access, manipulate, and analyze massive data sets using SQL and familiar scripting languages on Hadoop. Learn how to transform data using Apache Pig, Apache Hive, and analyze it using filters, and other user-defined functions familiar from other technologies.
Big Data has found uses everywhere from retail to politics to environmental issues. Most significantly it has been used to understand and target customers. Retailers are also using it with success to optimize their business processes. Big Data has also revolutionized the way healthcare operates and has helped huge advances to be made in the field of science and technology. The technology is now being used to decode complex biological patterns such as DNA strings and predict outbreak of diseases. Its use in military and defence operations have been well documented with NSA using it to foil terrorist plots. Big Data analytics have helped make better machines and optimize their performance to make our lives better and easier.
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 email@example.com, and we will answer any queries you may have!