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.
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.
Software Engineers, System Analysts, Database Administrators, Devops engineer and System Administrators who want to learn about Big Data Ecosystem with Cloudera.
Linux, Cloud Basics, System Administration will be added advantage. Basic understanding of IT administration or development activities
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
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
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