Apache Hadoop

Master the concepts of Big Data Hadoop with DTA Hadoop Training Course in Delhi

What is big data?

With dynamic Hadoop training curriculum that's updated regularly to reflect the state-of-the-art in big data and assure your sucess

Why to Learn Big Data and Hadoop?

The world is getting increasingly digital, and this means big data is present everywhere. In fact, the importance of big data and data analytics is becoming necessity in the coming years. Choosing a career in the field of big data and analytics might just be the type of role that you have been trying to find to meet your career expectations. Professionals who are working in this field can expect an impressive salary, even those who are at the entry level will find smart salaries. As more and more companies realize the need for specialists in big data and analytics, the number of these jobs will continue to grow. Close to 80% of data scientists say there is currently a shortage of professionals working in the field.

Who can take this Big Data Hadoop Training Course?

No doubt that Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology in Big Data architecture. Big Data training is best suited for IT, data management, and analytics professionals looking to gain expertise in Big Data, including

  • Software Developers and Architects
  • Analytics Professionals
  • Senior IT professionals
  • Testing and Mainframe Professionals
  • Data Management Professionals
  • Business Intelligence Professionals
  • Project Managers
  • Aspiring Data Scientists
  • Graduates looking to build a career in Big Data Analytics

DTA Big Data Hadoop Training

Big Data Hadoop training course at DTA lets you master the concepts of the Hadoop framework. With our classroom Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 2.7, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.

Course Highlight

  • Defining Big DataKey concepts
  • Business impact (case studies)
  • Processing Data
  • Machine Learning
  • Overview of Tools and techniques (including...)
  • Hadoop
  • MapReduce
  • Hive
  • Pig
  • Mahout
  • scala with spark
  • Cassandra, Redis, Mongo and other Columnar / NoSQL databased
  • Real time analysis with Spark
  • Overview of commercial solutions
  • Big Data and Cloud Services
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