HADOOP
Best BIG DATA (Hadoop) Training Company in Chandigarh / Bathinda
Hadoop is one of the important tool (framework) developed to handle Big Data. It is an open-source program where Big Data is systematically distributed on clusters of commodity hardware. Hadoop is primarily being useful where huge data has to be stored. Big data training will provide opportunities for you to achieve great success at the later stage of your career.
We offer an excellent opportunity for your career growth. Once you master your skills on Big Data Hadoop, you can easily start up with Data Analyst in any of the MNCs or software companies. Hadoop training in Chandigarh/ Bathinda through our organization, you can enhance your skills which goes a long way in shaping up your career. For best learning of Big Data Hadoop, enroll at our organization from where you will sharpen your skillset for optimum usage in any of the top MNCs. Hadoop certification training in Chandigarh / Bathinda only at INFOWIZ where the training provided to you is as per the norms and standards laid down in the Industries and Companies.
Best 6 Month/Weeks BIG Data(Hadoop)Training in Chandigarh/Mohali/Bathinda
Why Choose Infowiz for Hadoop Training in Punjab
Infowiz is the best place where you can enhance your skills and launch your successful career in this field as a professional. We offer hands-on experience on the latest technologies and tools in Hadoop like Advanced Hadoop, Advanced Map reduce , Apache, Pig, Hive, Processing the distributed Data with Apache Spark and much more. Our experts will help you to grasp the in-depth and complete know-how on the Hadoop platform and various Hadoop Ecosystem tools.
Hadoop Industrial Training – Course Content
Understanding on Big Data
- What is Big Data
- Data Facts
- Aspects / Principle of Big Data
- Difference b/w Big Data & Traditional BI
- Examples: Where to use Big Data
- Big Data Business Opportunities
- Distributed File System computation with Facebook Example
Understanding on LINUX
- Understanding File System working
- Basic commands of LINUX
- Shell scripting
- Use Cases – Assignments
Understanding of JAVA
- Introduction to OOP’s concept
- Understanding on Data types
- Functions
- Methods
- Setup of Eclipse
- Coding examples
- Use Cases : Assignments
Understanding of Python
- Concepts of Python
- Data Types in Python
- Exception Handling in Python
- File Handling in Python
FLUME
- Introduction to Flume
- Setup of Flume Components
- Source
- Sink
- Channel
- Agents
- Use Cases – Assignments
SPARK
- Introduction to SPARK
- Understanding of RDD, Contexts
- Developing Application in SPARK
- Use Cases – Assignments
Hadoop 1.x Architecture
- Understanding Hadoop Architect
- Basic Understanding of Hadoop core components
- In depth understanding of HDFS
- Understanding HDFS services – NameNode & DataNode
- Understanding on File System Read & Write
- Real-time Cluster setup based on requirement
Hadoop 2.x Architecture
- Understanding YARN Architect
- Architect Difference b/w Hadoop 1.x & Hadoop 2.x
- Understanding File System Read & Write
Cluster Installation
- Hadoop 1.x
- Environment Settings
- Pseudo Mode Installation
- Distributed Mode Installation
- Basic configuration of Hadoop properties
- Understanding in-built scripts
- Running Basic Map Reduce code
- Hadoop 2.x
- Environment Settings
- Distributed Mode Installation
- Configuration of Hadoop properties
- Running Basic Map Reduce Code
- Hadoop File system commands
SQOOP
- Introduction to Sqoop
- Setup of Sqoop
- Sqoop Import commands
- Sqoop Export commands
- Formats in Sqoop
- Use Cases – Assignments
PIG – Data Flow Language
- Introduction to PIG Latin
- Setup of Pig
- Independent Mode
- Map Reduce Mode
- Basic commands in Pig
- Functions in Pig
- Developing UDF’s in Java
- Use Cases – Assignments
Understanding of Map Reduce
- Understanding of Map Reduce services – JobTracker & TaskTracker
- Map Reduce Flow Chart
- Map Reduce Phases
- Mapper
- Reducer
- Splitting
- Sorting
- Shuffling
- Combiner
- Partitioning
- Developing Map Reduce applications – JAVA Code
- Developing Map Reduce applications – Python Code
- Discussion on Input File Formats
- Difference b/w Old MR API & New MR API
- Use Cases – Assignments
HIVE – Data Warehouse
- Introduction to HIVE Architecture
- Setup of Hive
- Basic queries in HIVE
- Advance Features of HIVE
- Partitioning
- Bucketing
- Serialize & De-serialize
- Query optimization in Hive
- Use Cases – Assignments
Future Scope of BIGDATA-HADOOP
The extent of information is huge due to the fact with the developing population and science development. Data scientists throughout the Globe are being the most sought after experts in this decade incomes the best possible paychecks in the industry. In India Big Data Hadoop requirement is raising exponentially. Big statistics is influencing the IT enterprise like few applied sciences or tendencies have executed so before. If analyzed effectively, large facts caches can assist organizations enhance their decision-making and compete on some other level.
BIGDATA-HADOOP Course Duration
| Track | Regular Track | Weekend Track | Fast Track |
|---|---|---|---|
| Course Duration | 120 – 180 Days | 24 Weekends | 40 – 60 Days |
| Hours | 2 hours a day | 3 hours a day | 6+ hours a day |
| Training Mode | Live Classroom | Live Classroom | Live Classroom |
This is an approximate course duration for HADOOP. Please contact our team for the current BIGDATA-HADOOP course fee and duration. CONTACT US
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