- Introduction to Big Data | Role of Hadoop in Big Data
- Introduction of Hadoop | Introduction to Hadoop Architecture
- Home
- edu plus now
- Courses
- Big Data Hadoop
Big Data Hadoop
Develop your expertise in the concepts and aspects of Big Data with the techniques and tools of Hadoop in this course.
Online
6 Days
₹ 15,000
Quick facts
particular | details | ||
---|---|---|---|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Frequency of Classes
Weekends
|
Course overview
The ‘Big Data Hadoop’ online course is delivered for the students to build their competence in the Bigdata Hadoop open-source software framework and the software tools such as HDFS, YARN, MapReduce, Hive, Pig, Flume, and Scoop. The certification program is provided by the online education platform Edu Plus Now in collaboration with Indian Statistical Insitute as a partner organization. The course is scheduled to be conducted for six days through live online sessions.
The course curriculum is offered through recorded lectures and interactive sessions which allows students to have an experimental learning experience. The students gain theoretical and practical knowledge of Hadoop and the principles of Big data that enables effective execution of the role of big data developer.
The ‘Bigdata Hadoop’ online certification course enables students to get guidance from academic and industry experts with support for career development. The certificates are given to students after completion of the course study.
The highlights
- Online course
- Live sessions
- Six days course
- Expert faculty
- Projects
- Career support
- Certificate
Program offerings
- Online classes
- Interactive sessions
- Projects
- Assignments
- Career support
- Certificate
Course and certificate fees
Fees information
The ‘Bigdata Hadoop’ certification fees as mentioned below should to be paid online through the link provided after the course registration.
Bigdata Hadoop fee structure
Head | Amount in INR |
Program Fee | Rs. 15000 + GST |
certificate availability
certificate providing authority
Eligibility criteria
Certificate qualifying details
The candidates of the ‘Bigdata Hadoop’ certification course will become eligible for the course certificate after completion of the program.
What you will learn
The ‘Bigdata Hadoop’ certification syllabus is framed for the students to develop their knowledge of Big data and the frameworks of Hadoop. The students of this program will learn about the commands, features, Linux foundation of Hadoop, and several other aspects. The learners build their expertise in Hadoop tools such as HDFS, YARN, MapReduce, Hive, Pig, Flume & Scoop.
Who it is for
The ‘Bigdata Hadoop’ online certification course is designed for individuals and students interested in learning about Big data Hadoop tools and structure to become effective Hadoop developers, Big Data Analytics engineers, and big data developers.
Admission details
The registration for the ‘Bigdata Hadoop’ certification by Edu Plus Now is done online through the course website.
Step 1: Go to the course page using the link, https://www.eduplusnow.com/course-details/certificate-in-big-data-hadoop-online-training
Step 2: Click on the ‘Enroll Now’ button.
Step 3: Fill in the relevant information.
Step 4: Pay the course fee to complete the registration.
Filling the form
The applicants of this ‘Bigdata Hadoop’ certification course can complete the application process by entering the details such as name, phone number, and email address on the registration form.
The syllabus
Introduction of Hadoop
Introduction of Hadoop
Introduction to HDFS
- HDFS writing process
- HDFS reading process
- Basic Linux commands for Hadoop
- Basic Hadoop commands
- Basic HDFS commands
- HDFS checkpointing process and secondary name node
- Introduction to data processing in Hadoop
- Introduction to MapReduce algorithm
Understanding Map Reduce Architecture
Introduction to YARN as Resource Manager
- Understanding yarn architecture
- Introduction to Java for MapReduce
- Writing and understanding MapReduce programs
- Submitting MapReduce job and understanding the statistics
- Changing the number of mappers and reducers and seeing the effect
- Understanding the data ingestion to Hadoop
Introduction to Sqoop
- Architecture of sqoop
- Understanding of MySQL, SQL and data creation
- Sqoop import of a table from MySQL
- Sqoop export of a table to MySQL
- Sqoop import incremental data from a table from MySQL
- Sqoop import incremental last modified data from MySQL
Introduction to Flume as Data Ingestion Tool
Flume Architecture
- Flume data ingestion on console and in hdfs
Introduction to hive/Architecture of hive
- Various data formats of the hive (ORC, Parquet, AVRO)
- Creation of hive databases and tables
- Creation of hive tables (with different data formats)
- Introduction to hive partitioning and bucketing
- Introduction to hive indexing
- Partitioning practicals with weather data set
- Bucketing practicals with weather data set
- Various hive builtin functions
- Introduction to hive UDF, UDAF functions
- Writing hive UDF function
- Registering and using the UDF
Introduction to PIG
- Loading data from HDFS in the PIG relation and apply transformation
- Understanding Hcatalog (pig access hive tables) Loading data from hive tables in PIG relation and apply transformation
- Storing the data to hdfs and hive tables back from PIG relation
- Understanding the data set and ingesting it to HDFS
- Understanding the hive joins and pig scripts for data processing
- Execute the Skynet project scripts and verify the results
- Deriving and interpreting the results of the final execution
How it helps
The ‘Bigdata Hadoop’ certification benefits the students by helping them gain technical and programming skills with conceptual clarity of Big data and the Hadoop tool with the insights on data processing life cycle. The students who are working professionals are given the facility to attend separate batches to fit their schedules.
FAQs
The course is provided by the educational platform Edu Plus Now.
There is no prior knowledge required for the course.
The course is organized for six days.
The students of this course can learn through a virtual online learning environment.
You can get the course certificate after completing the course study.