- What is Big Data,
- Where does Hadoop fit in,
- Hadoop Distributed File System – Replications, Block Size, Secondary Namenode, High Availability,
- Understanding YARN – ResourceManager, NodeManager, Difference between 1.x and 2.x
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- Intellipaat
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- Big Data Hadoop Developer Certification Training
Big Data Hadoop Developer Certification Training
Grab the comprehensive knowledge of data analysis through the software and step onto the opportunity as a data analyst with the course by Intellipaat.
Online
₹ 10,032
Quick facts
particular | details | ||
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Frequency of Classes
Weekends
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Course overview
Big Data software help in extracting, analyzing, and processing unstructured data, structured or semi-structured data to the form which can be presented for decision making for the development of the company. Hadoop is the technology in Big Data that stores and processes large datasets efficiently which has the size ranging from gigabytes to petabytes. The advanced technology has allowed using of cluster multiple computers for analyzing and storing data instead of compiling everything to one big computer. With the certification course of Big Data Hadoop Developer Certification Training by Intellipaat, the candidate can learn and grab skills required to become proficient as a Data analyst.
Big Data Hadoop Developer Certification Training online course shall train the candidate in HDFS, MapReduce, Yarn, Hive, PIG, Oozie, Flume, and other tools. The certification also offers the candidates to work on real-life projects and helps them to latch onto the opportunities as experienced professionals for data analysts. The online course of Hadoop offers 30 hours of mentor-led training and 30 hours of self-paced videos. It further flexible schedule and lifetime free upgrade. After the completion of the course, the candidate shall receive Big Data Hadoop Developer Certification by Intellipaat.
The highlights
- 100% Online course
- Certification
- 30 hours self-paced videos
- 30 Instructor-led- training
- 60 hours practical assessment
- Job assistance
- Flexible schedule
- Lifetime upgrade
- Mentor support
Program offerings
- Online course
- 30 hours instructor-led training course
- 30 hours self-paced videos
- 60 hours project learning
- Convenient learning
- Video demonstration
- Assessments
- Certification
- Job assistance
Course and certificate fees
Fees information
The Big Data Hadoop Developer Certification Training certification fee depends upon the learning mode chosen by the candidate. The candidate should pay a one-time fee at the time of registration. The details of the fee are mentioned below in the table.
Fee structure for Big Data Hadoop Developer Certification Training
Course name | Fee in INR |
Big Data Hadoop Developer Certification Training self-paced learning | Rs.10,032 |
Big Data Hadoop Developer Certification Training Online classroom | Rs.17,100 |
Big Data Hadoop Developer Certification Training corporate learning | - |
certificate availability
certificate providing authority
Eligibility criteria
Certification Qualifying Details
The Big Data Hadoop Developer certification training is for learning the basics and advanced tools in Hadoop. With the lieu of time, Hadoop technology has widened its scope and has also come out to be a demanding skill by the recruiter. The online course by Intellipaat prepares the learners for future tasks and projects at the job by inculcating all the skills required. Intellipaat gives two choices to the learners the first one is self-paced learning and the second is online classroom learning. The former has perks of 24*7 doubts solving and mentor support. The prior shall enhance the learners' skills at their convenient time. Corporate training is the third feature which is offered to companies for boosting up the skills of employees in any particular domain. The candidate must complete the practical and academic learning assessment which is part of the Big data Hadoop developer certification training syllabus from Intellipaat. The candidate shall receive a certificate after qualifying for the quiz with a 60% score and performing the practical assessments.
What you will learn
As per the growing demand for data analysis, the field is growing and opening many job opportunities for professionals and beginners. The certification course by Intellipaat focuses on the overall development of the learner and the project training shall help them to explore the working skills required in a data analysis job. Further, the peer assistance feature will unveil opportunities to display the project at hackathons and doubt solving by seniors. The notification for the classes is also given to the group and thus tying the permanent knot of experienced and beginners. At the end of the Big Data Hadoop Developer Certification Training certification course, the candidate shall become proficient at the following concepts:
- Understanding the Hadoop architecture and foundational knowledge of Hadoop.
- Learning Hadoop, HDFS, and MapReduce
- Writing MapReducing programs and deploy clusters
- Developing the applications for Big Data using Hadoop Technology
- Developing the YARN programs on the Hadoop 2.X version
- Working understanding on Big Data analytics using Hive, Pig, and YARN
- Integrating MapReduce and HBase of advanced usage and Indexing
- Learning the fundamentals of the Spark framework
- Understanding the RDD in Apache Spark
- Learning the Hadoop development and studying its best practices
- Job scheduling using Oozie
- Prepare for the Cloudera Spark and Hadoop Developer Certification
Who it is for
The Big Data Hadoop Developer Certification Training certification benefits all the people associated with the data analysis or people who want to begin their career in data analytics. With real-life projects like Working with MapReduce, Hive and sqoop, and Hadoop Yarn project End to end PoC the candidate shall learn the skills efficiently. The course shall further help the candidate in the overall grooming and guide to work in the environment. With real-life projects and job assistance, the candidate will become proficient in the domain.
Admission details
To get admission in Big Data Hadoop Developer Certification Training certification classes follows the steps mentioned below:
Step 1: Visit the Intellipaat portal or click on the link
https://intellipaat.com/hadoop-developer-training/.
Step 2: Click on the ‘Enroll Now’ Tab and select the learning mode.
Step 3: Fill in the required details and edit the cart.
Step 4: Pay the Big Data Hadoop Developer Certification Training certification fee.
Step 5: Start your Big Data Hadoop Developer Certification Training.
The syllabus
Introduction to Big Data & Hadoop and its Ecosystem, Map Reduce and HDFS
Hadoop Installation & setup
- Hadoop 2.x Cluster Architecture,
- Federation and High Availability,
- A Typical Production Cluster setup,
- Hadoop Cluster Modes,
- Common Hadoop Shell Commands,
- Hadoop 2.x Configuration Files,
- Cloudera Single node cluster
Deep Dive in Mapreduce
- How Mapreduce Works,
- How Reducer works,
- How Driver works,
- Combiners,
- Partitioners,
- Input Formats,
- Output Formats,
- Shuffle and Sort,
- Mapside Joins,
- Reduce Side Joins,
- MRUnit,
- Distributed Cache
Lab exercises
- Working with HDFS,
- Writing WordCount Program,
- Writing custom partitioner,
- Mapreduce with Combiner ,
- Map Side Join,
- Reduce Side Joins,
- Unit Testing Mapreduce,
- Running Mapreduce in Local Job Runner Mode
Graph Problem Solving
- What is Graph,
- Graph Representation,
- Breadth first Search Algorithm,
- Graph Representation of Map Reduce,
- How to do the Graph Algorithm,
- Example of Graph Map Reduce
Detailed understanding of Pig
Introduction to Pig
- Understanding Apache Pig,
- The features, various uses, and learning to interact with Pig
Deploying Pig for data analysis
- The syntax of Pig Latin,
- The various definitions, data sort, and filter,
- Data types, deploying Pig for ETL,
- Data loading, schema viewing,
- Field definitions,
- Functions commonly used
Pig for complex data processing
- Various data types including nested and complex,
- Processing data with Pig,
- Grouped data iteration,
- Practical exercise
Performing multi-dataset operations
- Data set joining,
- Data set splitting,
- Various methods for data set combining,
- Set operations,
- Hands-on exercise
Extending Pig
- Understanding user-defined functions,
- Performing data processing with other languages,
- Imports,
- Macros,
- Using streaming and UDFs to extend Pig,
- Practical exercises
Pig Jobs
Working with real data sets involving Walmart and Electronic Arts as a case study
Detailed understanding of Hive
Hive Introduction
- Understanding Hive,
- Traditional database comparison with Hive,
- Pig and Hive comparison,
- Storing data in Hive and Hive schema,
- Hive interaction and various use cases of Hive
Hive for relational data analysis
- Understanding HiveQL,
- Basic syntax,
- The various tables and databases,
- Data types, data set joining,
- Various built-in functions,
- Deploying Hive queries on scripts,
- Shell and Hue.
Data management with Hive
- The various databases,
- Creation of databases,
- Data formats in Hive,
- Data modeling,
- Hive-managed Tables,
- Self-managed Tables, data loading,
- Changing databases and Tables,
- Query simplification with Views,
- Result storing of queries,
- Data access control,
- Managing data with Hive,
- Hive Metastore and Thrift server.
Optimization of Hive
- Learning performance of a query,
- Data indexing,
- Partitioning and bucketing
Extending Hive
Deploying user-defined functions for extending Hive
Hands on Exercises – working with large data sets and extensive querying
Deploying Hive for huge volumes of data sets and large amounts of querying
UDF, query optimization
- Working extensively with User-Defined Queries,
- Learning how to optimize queries,
- Various methods to do performance tuning.
(AVRO) Data Formats
- Selecting a File Format,
- Tool Support for File Formats,
- Avro Schemas,
- Using Avro with Hive and Sqoop,
- Avro Schema Evolution,
- Compression
Introduction to Hbase architecture
- What is Hbase,
- Where does it fits,
- What is NOSQL
Hadoop Cluster Setup and Running Map Reduce Jobs
- Multi-Node Cluster Setup using Amazon ec2 – Creating 4 node cluster setup,
- Running Map Reduce Jobs on Cluster
Advance Mapreduce
- Delving Deeper Into The Hadoop API,
- More Advanced Map Reduce Programming,
- Joining Data Sets in Map Reduce,Graph Manipulation in Hadoop
How it helps
Big Data Hadoop Developer Certification Training certification syllabus shall unveil multiple benefits for the learners who want to explore the field of data analysis or upgrade their skills like data analysis. The main objective of this course is to prepare the candidate as per the recent requirements in the corporates as data analysts. The learner shall upgrade their programming skills and while working on the project one can gain knowledge of the practical skills and the tools required for the working. Further, the peer assistance feature shall guide the candidates with their doubts, and inform them about hackathons and other technical events.
FAQs
The course involves 30 hours of instructor-led training and 30 hours of self-paced videos and 60 hours of practical training.
The feature of peer learning shall allow the candidate to put up their doubts or solve others’ doubts. It further allows candidates to interact with juniors or seniors. Besides, peer groups are the place to share information on Hackathons and other technical events.
The projects that are associated with the course are MapReduce, Hive, and sqoop, and the second one is the Hadoop Yarn project End to end PoC.
The job assistance feature shall prepare the candidate to appear for the interview and crack them easily.
The course has the feature of 24*7 support by the mentors. Candidates can put up their queries directly to the mentor or can discuss them in the peer assistance group.