Hadoop Development

Apache Hadoop is an open-source software framework used for distributed storage and processing of dataset of big data using the MapReduce programming model. It consists of computer clusters built from commodity hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common occurrences and should be automatically handled by the framework.
Hadoop Training course teaches participants, the purpose of Hadoop Technology, how to setup Hadoop Cluster, how to store Big Data using Hadoop (HDFS) and how to process/analyze the Big Data using Map-Reduce Programming or by using other Hadoop ecosystems. This course also provides the best practices in Hadoop that professionals would need while using it in a real-life scenario. This course has been designed in such a way that it is very easy for you to acquire and expand your Hadoop skills quickly. So, you can start working in this field once you complete the training successfully.

Big Data (Hadoop) Developer Course outline

Introduction to Big data and Hadoop
- Understanding Big Data
- Challenges in processing Big Data
- 3V Characteristics (Volume, Variety and Velocity)
- Brief history of Hadoop
- How Hadoop addresses Big Data?
- HDFS and MR
- Hadoop echo system
HDFS (Hadoop Distributed File System)
- HDFS Overview and Architecture
- HDFS Keywords like Name Node, Data Node, Heart Beat etc
- Configuring HDFS
- Data Flows (Read and Write)
- HDFS Permissions and Security
- HDFS commands
- Rack Awareness
Daemons processes Map Reduce
- Map Reduce Basics
- Map Reduce Data Flow
- Word count Example solving
- Algorithms for simple and complex problems
- Hadoop Streaming
Developing a Map Reduce Application
- Setting up working environment
- Custom Data types (Writable and Custom Key types)
- Input and Output file formats
- Driver, Mapper and Reducer Code Wal thru
- Configuring IDE Eclipse
- Writing Unit test and running locally
- Map Reduce Web UI
- Hands –on
How Map Reduce works?
- Classic Map Reduce (Map Reduce I)
- YARN (Map Reduce II)
- Job Scheduling
- Shuffle and Sort
- Failures
- Oozie Workflows
- Hands-on Exercises
How Map Reduce works?
- Map Reduce Types
- Input formats – Input splits & records, text input, binary input, multiple inputs and database input.
- Output formats - text output, binary output, multiple outputs, Lazy output and database output.
- Hands-on
Hadoop Echo Systems
- PIG
  - Overview of PIG
  - Installation and running PIG
  - PIG Latin
  - Loading and storing data
  - Hands-on
- HIVE
  - Overview of HIVE
  - Installation and running HIVE
  - HiveQL
  - Tables
  - Hands-on
- HBASE
  - Overview of HBASE
    - Installation
  - CLinets (avro, REST, Thrift)
    - Hands-on
- SQOOP - Overview of SQOOP
  - Solving Case studies

Our distinct services include :

Material and Documents: We provide real time working documents and materials to our students.
Free System Access : We have the latest and most up to date platforms deployed on high-end servers that are available remotely and in-class on a 24/7 basis.
Interview Preparation: We will prepare you for interviews in your specialized area by providing some real time interview questions. We also conduct mock interviews and assist you in preparing a professional resume.
Placement Assistance: Our placement service division provides job placement support by submitting your resumes to prospective clients and emails you any new job opportunities in the market. However, we do not provide false guarantees on securing any jobs for you. We have a history of several ex-students who have secured excellent jobs based on our WORLD class training approach, implementation of case study projects and post training support.
Initial Job Stabilization Support: We support our students to get stabilized in their job in the first TWO months. If our students come across any issues, we are there to help them. Students can send an email to us with their issues, our experts will reply back with possible solutions within 24 hours.
Free Class Room sessions recording: In addition to the e-class training, we will give you authorization to record all of your e-class room training sessions, so that you can go back and review.

Other Courses related to HADOOP

Course registration

Instructor Led Hands-on eClassroom Training.

Key Points of Training Program :

Accomplishing a Hadoop training & Hadoop certification would promise a bright career designation like Hadoop developer, Architect, Tester, Administrator, Analyst or a Data Scientist. Learn the basics, Hadoop applications, HBase data model and architecture, schema design, MapReduce and Apache Drill. This course covers the concepts of MapReduce, Yarn, Pig, Hive, HBase, Oozie, Flume and Sqoop.

How beneficial is the Hadoop Course and Certification?

Dice says that, ``Technology professionals should be volunteering for Big Data projects, which make them more valuable to their current employer and more marketable to other employees``.
Key advantages are:
All top companies around the globe use Hadoop technology.
Therefore, there are a myriad of exciting job opportunities.
Owing to its importance and value, lump salary packages are offered.
Fast career growth is a guarantee.
Who should attend Hadoop Course?

Hadoop technology training is mainly best suited for software engineers with ETL/programming background. It is also applicable for managers who are dealing with latest technologies and data management. The .NET developers and data analysts who are involved in developing applications and performing data analysis using the Hortonworks Data platform for Windows will also find this course extremely beneficial for their career advancement.
Prerequisites

Hands-on experience in Core Java.
Good analytical skills to grasp and apply concepts.
Programming experience with Visual studio and SQL.
Familiarity with Windows Server OS.

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Hadoop Development

Hadoop Development

Hadoop Development Course Fee

Course Requirements and Learning Objectives