Course : Hadoop, developing applications for Big Data
Practical course - 4d
- 28h00 - Ref. APH
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 | Building a MapReduce-based program |
| Integrating Hadoop HBase into an enterprise workflow |
| Travailler avec Apache Hive et Pig depuis Hadoop Distributed File System (HDFS) |
| Using a task graph with Hadoop |
Intended audience
Concepteurs, développeurs.
Prerequisites
Good experience in Java development. Knowledge of web architecture a plus.
Practical details
Hands-on work
Application development for Big Data.
Teaching methods
Lectures 30%, practical work 70%.
Course schedule
1 Big data
- Defining the scope of big data.
- The role of the Hadoop project.
- Basic concepts of big data projects.
- Introduction to cloud computing.
- The difference between private and public cloud computing.
- Big data architectures based on the Hadoop project.
Demonstration
Use of Hadoop and GoogleApp.
2 Collecting data and applying MapReduce
- Analysis of company data flows.
- Structured and unstructured data.
- The principles of semantic analysis of enterprise data.
- MapReduce-based task graph.
- Data consistency granularity.
- Transfer data from a persistence system to Hadoop.
- Transferring data from a Cloud to Hadoop.
Hands-on work
Managing the collection of customer information using MapReduce. Configuring the Yarn implementation. Developing a Map Reduce-based task.
3 Data storage with HBase
- Several types of XML database.
- Usage patterns and their application to the cloud.
- Application of Hadoop database within a workflow.
- Using Hive/Pig projects.
- Using the HCatalog project.
- HBase Java API.
Hands-on work
Manage modifications to a supplier data catalog.
4 Data storage on HDFS
- Usage patterns and their application to the cloud.
- Architecture and installation of an HDFS system, journal, NameNode, DataNode.
- Operations, orders and order management.
- Java HDFS API.
- Data analysis with Apache Pig.
- The Pig Latin language. Using Apache Pig with Java.
- Querying with Apache Hive.
- Data replication. Data sharing on HDFS architecture.
Hands-on work
Administering a shared client repository on Hadoop. Using the visualization console.
5 Spring Data Hadoop
- Introduction to Spring and Spring Data.
- The Hadoop namespace for Spring.
- Using Spring to simplify Hadoop configuration.
- Distributed cache configuration.
- Job definition and dependencies between jobs.
- Integration of tools (Pig, Hive...).
Hands-on work
Redesign of supplier data catalog management using Spring Data.
PARTICIPANTS
Concepteurs, développeurs.
PREREQUISITES
Good experience in Java development. Knowledge of web architecture a plus.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
Concepteurs, développeurs.
PREREQUISITES
Good experience in Java development. Knowledge of web architecture a plus.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
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Remote class
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