This course is for participants who have completed Cloudera Administrator Training for Apache Hadoop or already having Hadoop Administration basics knowledge. This course will make the student enterprise ready, as this course will provide hands on high end production related topics like Upgrading Hadoop cluster, Configuring Rack Awareness, Data Replication Between Two Clusters and most importantly Securing Hadoop Ecosystem with Kerberos And LDAP, SENTRY For Privilege Based Authorization.

Audience:

Participants should have completed the course Cloudera Administrator Training For Apache Hadoop or having Cloudera Administration basic knowledge.

Course Objectives

• Understanding Upgrade Process & Performing Rolling Upgrades On Hadoop Cluster.
• Configuring Distributed Cache in HDFS.
• HDFS Disaster Recovery with Data Replication Between Clusters.
• Securing The Cluster with Kerberos and LDAP.
• Securing Hive Data using Apache SENTRY.

Course Content

Schedule for Advanced Hadoop Administration
Course	Regular Track (days)
Advanced Hadoop Administration	2

This course provides insight into basics of Hadoop, architecture, components and how Hadoop works. This course also helps in understanding Big Data usage and data analysis using MapReduce. The scalability, cost-effectiveness, and streamlined architectures of Hadoop will make the technology more attractive. Hadoop also allows students see relationships that have always been just out of reach. Students can start making more decisions based on hard data instead of hunches and look at absolute data sets, not just samples. Hadoop optimizes the data management structure in organization by putting the right Big Data workloads in the right systems.

Audience:

This course is best suited for business users, Windows teams, Java developers, data analysts, administrators and data scientists.

Course Objectives

• Comprehend Big Data
• Comprehend about evolution of Hadoop
• Comprehend key Hadoop distributors
• Comprehend Hadoop Architecture
• Comprehend HDFS
• Comprehend MapReduce
• Comprehend YARN
• Comprehend about tools of Hadoop

Course Content

Schedule for Start with Apache Hadoop
Course	Regular Track (days)
Start with Apache Hadoop	2

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 all across the globe. Big Data Analytics is the 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.

Audience:

This Hadoop training is best suited to developers and engineers who have programming experience with basic familiarity of SQL and Linux commands.

Course Objectives

• Comprehend internals of HDFS and MapReduce.
• Learn how to write MapReduce code
• Comprehend Hadoop debugging, development, and execution of workflows and algorithms
• leverage Hive, Oozie, Pig, Flume, Sqoop, and other Hadoop ecosystem projects
• Create custom components such as InputFormats and WritableComparables to administer complex data types
• Write and execute joins to link data sets in MapReduce
• Comprehend Advanced Hadoop API topics.

Course Content

Schedule for Hadoop Developer with Spark
Course	Regular Track (days)
Hadoop Developer with Spark	4

Master Hadoop admin training will help students comprehend the storage management, Hadoop filesystem, creation and management of Hadoop cluster. This Hadoop course includes all tools which are useful for achieving Hadoop admin certification. Students will be able to learn the practices and concepts required to introduce Hadoop into an organization, from configuration and installation to load balancing and tuning to solving and diagnosing problems in the deployment.

Audience:

Hadoop training is best suited for IT managers, systems administrators, database administrators, or Windows/Linux/UNIX administrators with basic understanding of Linux commands. Prior understanding of Apache Hadoop is not needed.

Course Objectives

• Understand the concept of Big Data in this Hadoop admin training
• Comprehend the Cluster and its Setup
• Perform maintenance tasks for Clusters
• Perform Backup and Recovery operations
• Monitoring the Cluster setup
• Conduct Hadoop Administration and Resource Management
• Perform troubleshooting tasks
• Installation, Configuration and Implementation of Hadoop in an enterprise
• Comprehend PIG, HIVE, HBASE, Flume and Sqoop
• Determine the correct infrastructure and hardware for your cluster

Course Content

Schedule for Cloudera Administrator Training For Apache Hadoop
Course	Regular Track (days)
Cloudera Administrator Training For Apache Hadoop	4

Apache Hadoop certification for data analysis will teach students how to create robust data processing applications using Apache Hadoop. Students will learn debugging, Hadoop development, and implementation of workflows and common algorithms. Students will also learn how to leverage Hive, Sqoop, Oozie, Flume, Pig, and other Hadoop ecosystem projects.

Audience:

This course will be best suited for developers and engineers who have programming experience.

Course Objectives

• Interact with Pig
• View the Schema
• Filter and Sorting Data
• Iterate Grouped Data
• Use Hadoop’s Web UI
• Comprehend about Schema and Data Storage
• Use Hue to Execute Queries
• Simplify Queries with Views
• Choose a File Format
• Manage Metadata
• Control Access to Data
• Comprehend Complex Values in Hive
• Use Regular Expressions in Hive
• Comprehend Sentiment Analysis and N-Grams
• Understand Query Performance

Course Content

Schedule for Cloudera Data Analyst Training for Apache Hadoop
Course	Regular Track (days)
Cloudera Data Analyst Training for Apache Hadoop	4