Cloudera Course

 

Cloudera Course Overview

Cloudera provides a scalable, flexible, integrated platform that makes it easy to manage rapidly increasing volumes and varieties of data in your enterprise. Cloudera products and solutions enable you to deploy and manage Apache Hadoop and related projects, manipulate and analyze your data, and keep that data secure and protected.

CDH is the most complete, tested, and popular distribution of Apache Hadoop and related projects. CDH delivers the core elements of Hadoop – scalable storage and distributed computing – along with a Web-based user interface and vital enterprise capabilities. CDH is Apache-licensed open source and isthe only Hadoop solution to offer unified batch processing, interactive SQL and interactive search, and role-based access controls.

What is Cloudera?

Cloudera products and solutions enable you to deploy and manage Apache Hadoop and related projects, manipulate and analyze your data, and keep that data secure and protected. The Cloudera distribution of Apache Hadoop and other related open-source projects, including Impala and Cloudera Search.

Who are eligible for doing the Cloudera Course?

Software Engineers, System Analysts, Database Administrators, Devops engineer and System Administrators who want to learn about Big Data Ecosystem with Cloudera.

What Skills are required to learn this Course?

Linux, Cloud Basics, System Administration will be added advantage. Basic understanding of IT administration or development activities

What are the Job Opportunities after this Course?

Completing this course will help you to get in as Data Scientists, Technical Architects, Software Developers, Testing and Hadoop Cloudera Administrator in Major IT companies like ADP, Allstate, AMD, Apollo group, Barclays, box, AOI, blackberry and more

What are the Main topics Covered in this Course?

The main concepts covered Hadoop Basic Concepts, Writing a MapReduce Program, Integrating Hadoop into the Workflow, Using Hive and Pig, Common MapReduce Algorithms, the Hadoop API, Joining Data Sets in MapReduce Jobs, creating workflows

Cloudera Course Syllabus

The Motivation for Hadoop

Hadoop Basic Concepts

Writing a MapReduce Program

Integrating Hadoop into the Workflow

The Hadoop API

Using Hive and Pig

Common MapReduce Algorithms

Practical Development Tips and Techniques

More Advanced MapReduce Programming

Joining Data Sets in MapReduce Jobs

Graph Manipulation in Hadoop

Creating Workflows with Oozie