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Big data analytics is widely used to analyse large volumes of data and there is a growing need for professionals equipped with the knowledge of Big Data and Hadoop. Top companies like IBM, Dell, Microsoft and HP have invested $15 billion on data management and analytics, therefore increasing the number of career opportunities for big data and Hadoop certified professionals.
Knowledge of Big Data and Hadoop enables you to install and configure Hadoop components and manage as well as integrate large sets of unstructured data. The following examples show why you should get equipped with the knowledge of Big Data and Hadoop.
A good understanding of the basics of Big Data and Hadoop makes it easier to improve your analytic skills, thus increasing your career prospects in the Big Data analytics industry. According to Robert Half Technology, the average salary for a Hadoop certified Professional is in the range of $154,250.
Top companies like Microsoft, Software AG, IBM, Oracle, HP, SAP, EMC2 and Dell have invested a huge $15 billion on data management and analytics, thereby increasing the number of opportunities for Big data & Hadoop certified professionals.
The course focuses on the basics of big data and Hadoop and provides an overview of the commercial distributions of Hadoop as well as the components of the Hadoop ecosystem.
On completing this course, learners will be able to interpret what goes behind the processing of huge volumes of data as the industry switches over from excel-based analytics to real-time analytics.
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.
This big data training course will give you the skills needed to excel in the big data analytics industry. You will learn how to set up, secure, safeguard and monitor big data clusters and their components such as Sqoop, Flume, Pig, Hive and Impala. Also, how to work with Hadoop’s distributed file system, its processing and computation frameworks, core Hadoop distributions, and vendor-specific distributions such as Cloudera.