Certification73% of organizations have already invested or plan to invest in big data. An industry-wide recognised certificate in Big Data Analytics using Hadoop by Manipal ProLearn will make you eligible for jobs in the Big Data industry.
Job OpportunitiesMcKinsey predicts that by 2018 there will be a shortage of 1,500,000 data experts. After completing the big data analytics using Hadoop online training, you’ll be able to find job opportunities as a big data engineer, data scientist, or a data analyst.
Who Should AttendBeginners in analytics domain /engineering graduates /non-engineering graduates /Big Data analytics aspirants
Salary PackagesThe average salary for an entry-level Big Data engineer is around ₹5 lakhs per annum. An experienced Big Data engineer can earn up to ₹30 lakhs per annum.
Expert FacultyThe Big Data certification course is taught by some of the most eminent big data experts and analysts who have over 16 years of experience working for companies like Microsoft, HP and more.
Are you interested in increasing your knowledge in the Big Data landscape and becoming a certified Big Data professional? Most modern businesses now have access to massive amounts of data which they are extensively using to guide their decision-making process. And Hadoop, one of the most popular open-source Big Data framework has made big data analysis easier and more accessible - increasing its potential to transform the world!
Manipal ProLearn’s course in Big Data Analytics using Hadoop will help you to understand the A to Z of Big Data and Hadoop analytics. You’ll also be able to go into the depth of other advanced Big Data technologies such as SPARK, Storm, and Kafka etc. A complete understanding of these technologies would enable you to work as a Big Data engineer and explore the world of analytics & data sciences
After completing the Big Data Analytics using Hadoop online training, you’ll be considered as a strong and competent Big Data engineer. The big data analytics with Hadoop course will help you to:
- Understand what is Big Data and the sources of Big Data.
- Appreciate the need for a platform like Hadoop.
- Overview of the technological landscape of Big Data.
- Demonstrate the ability to quickly perform ad-hoc analysis of Big Data (structured and unstructured).
- Overcome the limitations of standalone tools like Excel & R.
Beginners in the analytics domain
Big Data analytics aspirants
Growth of Digital Data
Challenges of Processing Big Data
Introduction to Distributed Systems
Data Intensive Computations and Parallelism
History of Hadoop
Ecosystem of Hadoop
HDFS and MapReduce Paradigm
Job Processing Pipeline
Big Data Technology Landscape
Features of Hadoop