Cloudera/Hadoop Developer with Spark/CCA175


Hadoop Developer Overview

Hadoop Developer with Spark certification will let students create robust data processing applications using Apache Hadoop. After completing this course, students will be able to comprehend workflow execution and working with APIs by executing joins and writing MapReduce code. This course will offer the most excellent practice environment for the real-world issues faced by Hadoop developers. With Big Data being the buzzword, Hadoop certification and skills are being sought by companies across the globe. Big Data Analytics is a priority for many large organizations, and it helps them improve performance. Therefore, professionals with Big Data Hadoop expertise are required by the industry at large.

Hadoop Developer with Spark are among the world's most in-demand and highly compensated technical roles. According to a McKinsey report, US alone will deal with shortage of nearly 190,000 data scientists and 1.5 million data analysts and Big Data managers by 2018.

Who should do this course?

This Hadoop training is best suited for

  • Developers
  • Engineers
  • Security Officers
  • Any professional who has programming experience with basic familiarity of SQL and Linux commands.

Course Objectives

  • The Hadoop certification will help you learn how to distribute, store, and process data in a Hadoop cluster
  • After completing this course, you can easily write, configure, and deploy Apache Spark applications on a Hadoop cluster
  • Learn how to use the Spark shell for interactive data analysis
  • Use Spark Streaming to process a live data stream
  • Find out ways to process and query structured data using Spark SQL
  • This Hadoop course will help you use Flume and Kafka to ingest data for Spark Streaming.
This course prepares you for Exam CCA175. Download Course Contents Test your current knowledge Qubits42

Hadoop Developer training course Course schedule & Prices

Course Details Schedule
Live Virtual Classroom (Instructor-Led)
Duration : 4 Days (8 Days for 4 Hours/Day)
Fee : 1,900 (Includes Taxes) 
9 AM - 5 PM (Flexible Time Slots for 4 hours option)








Client's Location
As per mutual convenience
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
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Course Prerequisites

This course is best suited to developers and engineers who have programming experience. Knowledge of Java is strongly recommended and is required to complete the hands-on exercises.



Few of the benefits of doing a Hadoop Developer certification include:

  • Data Analytics – There is an avalanche of unorganized data that companies can decipher and leverage it to make timely business improvements. The advent of big data and cloud computing has made courses like Hadoop Developer with Spark training quite relevant considering the growing need of data analytics.
  • Seamless Integration – Apache Spark is designed to run on Hadoop Distributed File System. This seamless integration with Hadoop reduces the learning curve as anyone who is already familiar with Hadoop can quickly learn Spark.
  • Mass Adoption – A survey of 1200 professionals conducted by DNV GL reported that companies which adopted Big Data observed a 23% increase in efficiency, 16% observed better decision making and 11% reported financial savings. IT professionals who do a Hadoop Developer with Spark training certification therefore are at an advantage when it comes to job prospects.

Give an edge to your career with Cloudera certification training courses. Students can join the classes for Hadoop Developer with Spark certification training course at Koenig Campus located at New Delhi, Bengaluru, Shimla, Goa, Dehradun, Dubai & Instructor-Led Online.