Big Data Certification Courses

Big Data Hadoop Training Course is curated by Hadoop industry experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume and Sqoop. Throughout this online Hadoop Training, you will be working on real-life industry use cases in Retail, Social Media, Aviation, Tourism and Finance domain using Edureka's Cloud Lab.

Edureka’s Apache Spark and Scala Certification Training is designed to provide you the knowledge and skills that are required to become a successful Spark Developer and prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). Throughout the Apache Spark Training, you will get an in-depth knowledge on Apache Spark and the Spark Ecosystem, which includes  Spark RDD, Spark SQL, Spark MLlib and Spark Streaming.You will also get comprehensive knowledge on Scala Programming language, HDFS, Sqoop, FLume, Spark GraphX and Messaging System such as Kafka.

Kafka is an open-source stream processing platform. Kafka can be integrated with Spark, Storm and Hadoop. Learn about Kafka Architecture, setup Kafka Cluster, understand Kafka Stream APIs, implement Twitter Streaming with Kafka, Flume, Hadoop and Storm.

Splunk Power User and Admin Certification training teaches you to work with Configuration files, Set up a Cluster, Perform Search, Create Alerts and Dashboards while working on real-life Use-Cases.

Edureka's Hadoop Administration Certification Training will guide you to gain expertise in maintaining large and complex Hadoop Clusters. You will learn exclusive Hadoop Admin activities like Planning, Installation, Configuration, Monitoring & Tuning. Furthermore, you will get to know about Cloudera Hadoop 2.0 and you will be mastering the security implementation through Kerberos and Hadoop v2 through industry-level cases studies.

Edureka’s PySpark Certification Training is designed to provide you the knowledge and skills that are required to become a successful Spark Developer using Python and prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). Throughout the PySpark Training, you will get an in-depth knowledge of Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will also get comprehensive knowledge of Python Programming language, HDFS, Sqoop, Flume, Spark GraphX and Messaging System such as Kafka.

Edureka's ELK Stack course makes you an expert in ELK such that you can run and operate your own search cluster using Elasticsearch, Logstash, Kibana. You will gain proficiency to use Logstash to load data into Elasticsearch, run various search operation and do data visualization with the help of Kibana.

Edureka's Apache Solr Certification Training will help you in getting started and master the various concepts of Apache Solr. Solr is being used by most of the world’s top multinational companies. Solr powers the search and navigation features of many of the world's largest internet sites like AOL, Yahoo, Snapdeal, Cnet, Netflix, Zappos, Disney, Apple, NASA and so on. Search gives competitive advantages over other players who do not provide search. Apache Solr based on the Lucene Library, is an open-source enterprise Grade search engine and platform used to provide fast and scalable search features. Major features include full-text search, hit highlighting, faceted search.

Master Hive Query language, Hive UDF and other concepts like Loading, Querying and Importing data in Hive.

Master Pig Latin & other concepts like File Loaders, Group Operators, Joins, Co-group and Pig UDF

Apache Storm is an open-source and distributed stream processing computation framework used for processing large volumes of high-velocity data.This training will help you learn reliable real-time data processing capabilities of Storm and, how Storm is different from Hadoop & Kafka. You can smartly use Apache Storm at various place such as Ecommerce, Supply chain, Streaming etc.

Write MapReduce code using design patterns, learn pattern shuffling, applicability, analogies to Pig & SLQ, Performance Analysis, etc.

A self-paced course designed by Hadoop Experts to provide the knowledge and skills in the field of MapReduce Framework and help you to solve the use cases by using MapReduce concepts.

Become an expert in Big Data Administration by using Apache Ambari as the cluster implementation and designing tool. By end of the course, you will be able to design a whole cluster of 10-100's of nodes in just a matter of few hours.

Master HBase by learning concepts such as NoSQL, HBase Cluster, Data Model and Zookeeper