Quality education now comes with an affordable price tag.
Learnoa presents Instructor-Led self-paced comprehensive technology training programs.
We give you the same experience as of a LIVE INSTRUCTOR-LED TRAINING PROGRAM.
We give you the same quality as of a LIVE INSTRUCTOR-LED TRAINING PROGRAM.
You get the same experience and quality at a far lesser cost, with Learnoa!
As a bonus, we also arrange for doubt clearing sessions with instructors, on learner’s request.
Isn’t it wonderful?
Key Features
-
25 hours of video training
-
22 hours of hands-on practical experience
-
Self-paced Instructor-Led
-
Training by Industry expert
-
End-of-training Project
-
Notes / Interview questions / Practice material
-
Full Lifetime access
-
Accessible on Website and App
-
Certificate of Completion
-
Discussion forum for doubts clearing
Why to take this training?
Big Data is one of the most sought after technologies in the market in today’s age. Almost every large company you might want to work at uses Hadoop in some or the other way, including Amazon, Ebay, Facebook and Google! And it's not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images. Landing up with a career in the field of big data will be fulfilling your career expectations. Professionals who are working in this field can expect a very impressive salary, even newbies in this field can expect a comparatively heavy paycheck.
Average Salary of Big Data Hadoop Developers is approximately $104,556 or approximately Rs. 73, 18,920 per annum (Indeed.com salary data).
Training Details
Big Data Hadoop Training program from Learnoa is designed to make you a certified Big Data practitioner by providing you with the detailed explanations for all the Big Data concepts and extensive hands-on training on Big Data concepts and Hadoop Ecosystem. This training program will prove to be a breakthrough in your career in the field of Big Data.
If you're a project manager who just wants to learn the buzzwords, there are sessions about the activities in the training that require no programming knowledge. If you're comfortable with command lines, we'll show you how to work with them too. And if you're a programmer, we'll challenge you with writing real scripts on a Hadoop system using Scala, Pig and Python. We will also get you well acquainted with Hive, HBase, MapReduce, etc. which will make you an expert in the field.
Using concepts as well as hands-on examples and case-studies, this training will give you enough knowledge and experience to be able to know about real-time problems and solutions with more than 20 hours of training from experts in the industry.
Table of Contents
Hadoop 1.x.x
-
Introduction to Hadoop
-
Parallel Computing vs Distributed Computing
-
How to install Hadoop on your system
-
How to install Hadoop cluster on multiple machines
-
Hadoop daemons introduction: NameNode, DataNode, JobTracker, TaskTracker
-
Exploring HDFS (Hadoop Distributed File System)
-
Exploring Apache HDFS web UI
-
Namenode architecture (FS Image, Replica placement)
-
Secondary Namenode architecture
-
Datanode architecture
YARN ( Hadoop 2.x.x )
-
Introduction to YARN ( Hadoop 2.x.x )
-
Hadoop 1 Vs Hadoop 2
-
Hadoop 2 installation
-
Copy data from local file system to HDFS
-
Execute Hadoop job on YARN
-
Exploring HDFS/YARN/Job history UI
-
Hands-On Exercise
Hadoop Administrative Tasks
-
Routine Administrative Procedures
-
Understanding dfsadmin and mradmin
-
Block Scanner, HDFS Balancer
-
Health Check & Safe mode
-
Monitoring and Debugging on Hadoop cluster
-
Namenode backup and recovery
-
Datanode commissioning/decommissioning
-
ACL (Access Control List)
-
Upgrading Hadoop
MapReduce Architecture
-
Exploring JobTracker/TaskTracker
-
How to run a Map-Reduce job
-
Exploring Mapper/Reducer/Combiner
-
Shuffle: Sort & Partition
-
Input/output formats
-
Exploring Apache MapReduce web UI
Hadoop Developer Tasks
-
Hadoop Eclipse integration
-
Reading and writing data using Java
-
How to write a Map-Reduce Job
-
Mapper/Reducer in details
-
Searching in HDFS
-
Sorting in HDFS
HBase
-
Introduction to HBase
-
Installation of HBase on your system
-
Exploring HBase Master & Region servers
-
Exploring Zookeeper
-
Column Families and Qualifiers
-
Basic HBase shell commands
-
Hands-On Exercise
Hive
-
Introduction to Hive
-
HBase vs Hive
-
Installation of Hive on your system
-
HQL (Hive query language )
-
Basic Hive commands
-
Hands-On Exercise
-
Static and Dynamic partitioning
-
Bucketing in hive
-
Different File Formats (TEXT vs RC vs ORC)
-
Text File processing in hive
-
Parsing Json and Xml files in hive
-
Handling complex datatypes in hive
-
Joins in Hive
-
UDF
Pig
-
Introduction to Pig
-
Installation of Pig on your system
-
Basic Pig commands
-
Hands-On Exercise
-
Text file processing in pig
-
Json and xml file processing in xml
-
Built-n pig APIs Ex:- FixedWidthLoader
-
UDF
Sqoop
-
Introduction to Sqoop
-
Installation of Sqoop on your system
-
Import/Export data from RDBMS to HDFS
-
Import/Export data from RDBMS to HBase
-
Import/Export data from RDBMS to Hive
-
Hands-On Exercises
Spark/Scala
-
Introduction to Spark
-
Hadoop vs Spark
-
Installation of Spark on your system
-
Introduction to Scala (Scalable programming language)
-
Basic Scala commands
-
Scala Building blocks
-
Classes, Objects and Traits in Scala
-
Collections in Scala
-
Hands-On Exercise
Additional Topics
-
Apache Flume
-
Apache Kafka
-
Mongo DB
Mini Project / POC (Proof of Concept)
-
Facebook-Hive POC
-
Usages of Hadoop/Hive @ Facebook
-
Static & Dynamic partitioning
-
UDF ( User defined functions )
-
Project use-cases
-
Hands-On Exercise
Who should take this training?
Taking this training program will train you on how to do magic with Big Data and turn your database into a smart decision. Following professionals can use BigData knowledge as per their requirements:
-
Software engineers and programmers who want to understand the larger Hadoop ecosystem, and use it to store, analyze "big data" at scale.
-
Project Managers, Program Managers, or Product Managers who want to understand the lingo and high-level architecture of Hadoop.
-
Data analysts who are curious about Hadoop and how it relates to their work.
-
System architects who need to understand the components available in the Hadoop ecosystem, and how they fit together.
-
Database or system administrators
-
Fresh Graduates seeking a career in the field of Big Data
-
Beginner Developers
-
Testers
-
Project managers
-
Business Analysts
What else you will get?
Along with the training content, you will also get everything which is applicable from the following on this program:
-
Codes Snippets
-
Sample Programs
-
Informational PPTs
-
Installation and Configuration Guidelines
-
Class Notes
-
Interview Questions
-
How-Tos
-
Useful links
-
Case studies
-
Real-life examples
Queries?
For any query, you can visit www.LearnOA.com and browse to Help page.
Prerequisites:
You will need to have a basic understanding of data. Knowing any of the programming language will enhance your training experience.
