Big Data Hadoop and Spark Developer Courses

Big Data Hadoop and Spark Developer training courses provided by iLEARN


Availability and prices of Big Data Hadoop and Spark Developer courses

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In this showcase you will find a selection of training courses and exams in the Big Data Hadoop and Spark Developer context. 
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BIG DATA HADOOP AND SPARK DEVELOPER

The world is getting increasingly digital and the importance of big data and data analytics will continue to grow in the coming years. Choosing a career in the field of big data and analytics might just be what you have been trying to find to meet your career expectations.

The Big Data Hadoop training course will teach you the concepts of the Hadoop framework, its formation in a cluster environment, and prepares you for Cloudera's CCA175 Big Data certification.

 

BIG DATA HADOOP AND SPARK DEVELOPER CERTIFICATION

There is no exam available, but you must complete 85% of the course, one project and one simulation test, with a minimum score of 80%, to obtain a certificate.

 

BIG DATA HADOOP AND SPARK DEVELOPER COURSE

With this Big Data Hadoop course, you will learn the big data framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. The course will also cover Pig, Hive, and Impala to process and analyse large datasets stored in the HDFS and use Sqoop and Flume for data ingestion.

You will be shown real-time data processing using Spark, including functional programming in Spark, implementing Spark applications, understanding parallel processing in Spark, and using Spark RDD optimisation techniques. You will also learn the various interactive algorithms in Spark and use Spark SQL for creating, transforming, and querying data forms.

Finally, you will be required to execute real-life, industry-based projects using CloudLab in the domains of banking, telecommunication, social media, insurance, and e-commerce

 

ACCREDITATIONS
  • Online courses are provided by ILX Group.

 

Here below you can read the course sheet with information about Big Data Hadoop and Spark Developer.

Demo

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