Data- Hadoop
Hadoop: An open source framework for distributed processing and storage of large amounts of data across server clusters. Hadoop for Data is a massive data management solution, enabling the analysis and processing of large volumes of data in a scalable and efficient manner.

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Professional projects
You will develop your professional skills by working on concrete projects inspired by business reality. No problem, study at your own pace.

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Benefit from weekly mentoring sessions with a business expert.

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Objectifs de la formation Hadoop
This training Big Data Analysis provides you with the knowledge and skills needed to:
- Understanding How Hadoop Distributed File System (HDFS) and YARN/MapReduce Work
- Explorer HDFS
- Track the execution of a YARN application
- Master the operation and use of different data manipulation tools:
- Hue: Using the Unified Interface
- Hive, Pig: MapReduce Generators
- Tez: Optimizing MapReduce Generators
- Sqoop: How to import company data into a cluster Hadoop?
- Oozie: How to organize the executions of different applications?
Who is this training for?
Audience :
This Big Data Data Analysis training in a Hadoop environment is intended for people who will have to manipulate data in an Apache Hadoop cluster.
Prerequisites:
Rescue requires having experience in data manipulation. A preliminary knowledge of Hadoop is not required but recommended.

A pedagogy based on practice

- Acquire essential skills by validating professional projects.
- Progress with the help of a professional expert.
- Gain real know-how as well as a portfolio to demonstrate it.
Course content Data Analysis with Hadoop:

Introduction to Hadoop
Hadoop Overview
Examples of use in different sectors
History and key figures: When do we talk about Big Data?








The Hadoop ecosystem:
The HDFS file system
The MapReduce paradigm and usage through YARN








Data Manipulation in a Hadoop Cluster
Hue: How does this web interface work?
Hive: Why is Hive not a database?








Hive query:
Using HCatalog
Utilisation avancée sur Hive
Using user functions
Query Setting
Pig: How Pig works








Programming with Pig Latin
Using Local Mode
Using user functions
Tez: What is Tez?








Creating Workflows with Oozie
Workflow manipulation
Adding operating elements to workflows
Adding execution conditions
Setting up workflows
Sqoop: What is Sqoop used for?








Loading data from a relational database
Loading data from Hadoop
Loading data from Hadoop
The particularities of the distributions: Impala, Hawq
What are the best practices for using the different tools?
Individual and privileged supervision.
- Benefit from weekly individual sessions with an expert mentor in the field
- quickly in your projects thanks to its excellence in sharing its know-how




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- Count on a close-knit community of students ready to help you 24/7.
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