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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.
This Hadoop training is best suited for
| Course Details | Schedule |
|---|---|
|
Live Online Training (Instructor-Led)
Duration :
4 Days
(8 Day for 4 Hours/Day)
Fee : USD 2,100 (1-on-1)† |
April
8 Hours/Day
4 Hours/Day
13-16
20-23 27-30
13-20
20-27 27-04 May
8 Hours/Day
4 Hours/Day
18-21
18-25
June
8 Hours/Day
4 Hours/Day
22-25
22-29
|
|
Classroom Training*
Duration :
4 Days
Fee : Dubai : USD 3,400 India : USD 2,700 |
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:
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.
Hadoop is an open source, Java-based programming framework that supports the processing and storage of large data sets in a distributed computing environment. It can quite easily expand from single servers to thousands of machines, each providing computation and storage.
Apache Spark is a fast, in-memory data processing engine with elegant and expressive development APIs. Spark can efficiently execute streaming, machine learning or SQL workloads that require fast iterative access to datasets. Data Scientists commonly use machine learning to decipher large and complex unorganized data and Spark can help them in their need for iterative data processing.
Rescheduling requests should come in at least 24 hours prior to your scheduled appointment. Rescheduling less than 24 hours prior to your appointment will result in forfeiture of your exam fees. All exams are non-refundable and non-transferable. All exam purchases are valid for one year from date of purchase.
Your job prospect will improve on the successful completion of the Hadoop Developer certification. There is a huge demand for Big Data and Data Analytics professionals in the industry and the remuneration they get is also good.
There are no prerequisites for taking this certification. However, this course is best suited for developers and engineers who have prior programming experience. Knowledge of Java is also strongly recommended.
A score report will be emailed to you after you take the exam, typically within a few hours of taking the exam. If you end up successfully clearing the exam, you will receive your digital certificate in three days.
If you pass the exam a certificate in PDF format will be e-mailed to you.
Candidates who are not able to pass the exam must wait for a period of thirty calendar days, beginning the day after the failed attempt, before they may retake the same exam.