Hadoop Administration Training
Introduction:
'Hadoop Administration' course is designed for learners who want to gain expertise in Hadoop cluster administration from a beginner level to an expert level. To make the learners Industry ready, we've incorporated the best blend of approach covering practical hands-on experience to install, configure and manage the Apache Hadoop platform and its related ecosystem. This course is developed and taught by certified Hadoop consultants who have a passion for teaching and help deliver value to various clients using Big Data and Hadoop technologies on a daily basis. Instructors at Nichesoft will be giving real time case scenarios for various top companies from different industries making use of Hadoop to perform analytics on large data sets. As a learner, you'll be able to appreciate concepts related to administering, monitoring, diagnosing and optimizing resource allocation for the file system and MapReduce.
'Hadoop Administration' course will walk you through all the underlying techniques of ensuring robustness, efficiency and high availability using methods such as redundancy and NameNode Federation. We'll make sure that all crucial aspects surrounding Hadoop Cluster like scheduling and Monitoring Hadoop jobs around Ganglia and Moving data using Flume and Sqoop are covered efficiently by our Instructors. By the end of the course, we'll make that you're equipped enough to become a successful Hadoop Architect.
Course Prerequisites
- Basic knowledge of Unix and Linux
- Prior knowledge of Apache Hadoop is not required.
- Mac OS
Who can take this course?
- Learners seeking to make a profession in Big Data Analytics using Hadoop Framework.
- Anyone who has prior system administration experience
- Unix/Linux/Windows administrators and MYSql/Oracle/Postgress Data Base Administartors
- Software Architects, Data warehouse Professionals, IT Managers and Software Developers
- Data Analysts and Team Leaders
- Support Engineers
- Any enthusiast
Project & Certification Process:
Towards the end of the course, the instructor will allot you real-time project to have a clear understanding of how to conceptualize and implement the real-world application. The instructor will provide constant support and assist you in completing the project assignment.
On successful completion of this assignment, it will be reviewed by instructor and you will be awarded a certificate with performance based grading. After the instructor's review, if your project is not approved, then we will be providing you with extra assistance for any queries/doubts and let you reattempt it free of cost.
The Nichesoft Training Proces
NICHE Software Solutions has started a new wing for imparting NICHE technology skills to aspiring learners around the world and thus helping them landing in their dream jobs. We pioneer in providing Online Training on niche technology courses from highly experienced and real time working professionals giving the learners the best of the industry exposure and an edge to handle real time issues on job. We have a project based training approach which allows the learners to get real time scenario experience during the learning process.
We do assist our learners to enhance their soft skills with interview preparation & tips. We also assist them in making an impressive resume
Enroll now to start with your dream career choice in the advanced technologies in hot demand in the market.
Features
- Learn from anywhere
- Learn from any device
- Learn with practical hands-on [Software / Setup access provided]
- Learn with a project based learning
- Get trained from experienced and real-time professionals
- Learn at your convenience
- Get recorded sessions for future reference
- Special doubt clearing sessions
- Money back guarantee – [ 10 Days ]
Introduction of Big Data And Hadoop :
In this module, will discuss about Big Data. How Big Data impact in our social life & its important role. How Hadoop is helpful to manage & process Big Data. Hadoop Ecosystem & its Architecture. Hadoop components: HDFS & Mapreduce manage to store & process Big Data.
- Understand what is Big Data
- What is Hadoop
- Hadoop Eco-System Components
- Introduction to HDFS
- Hadoop Processing: MapReduce Framework
Hadoop Server Roles: NameNode, Secondary NameNode, and DataNode
Anatomy of File Write and Read.
Playing around with cluster (Hadoop Cluster) :
In this module, we will learn to set up Hadoop Cluster on five different mode. How to configure important files. Data loading & processing.- Hadoop Cluster Architecture
- Hadoop Cluster Configuration files
- Hadoop Cluster Modes
- See the concepts working
- Writing into HDFS
- Balancer
Map-Reduce Basics and implementation :
In this module, will work on Map Reduce Framework.How Map Reduce implement on Data which is stored in HDFS . Know about Input split, input format & output format. Overall Map Reduce Process & different stages to process the data.
- Map Reduce Concepts
- Mapper
- Reducer
- Driver
- Input Split(Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs)
- Record Reader
- Overview of InputFileFormats
- Hadoop Project: MapReduce Programming
PIG (analytics using Pig) & PIG LATIN:
In this module, will learn about analytics with PIG. About Pig Latin scripting, complex data type, different cases to work with PIG. Execution environment, operation & transformation.
- Installing and Running Pig
- Grunt
- Pig's Data Model
- Pig Latin
- Developing & Testing Pig Latin Scripts
- Writing Evaluation
- Filter
- Load & Store Functions
- Hadoop Project: Pig Scripting
HIVE & HIVEQL :
In this Module we will discuss a data-ware house package which analysis structure data. About Hive installation and loading data. Storing Data in different Table.
- Hive Architecture and Installation
- Comparison with Traditional Database
- HiveQL: Data Types, Operators and Functions
- Hive Tables(Managed Tables and External Tables, Partitions and Buckets, Storage
- Formats, Importing Data, Altering Tables, Dropping Tables)
- Querying Data (Sorting And Aggregating, Map Reduce Scripts, Joins & Sub queries, Views, Map and Reduce side Joins to optimize Query).
NO SQL DATABASES :
You will acquire in-depth knowledge of what is HBase, how you can load data into HBase and query data from HBase using client.
- Problems in the real world
- Traditional RDBMS fallacies
- Overview and usage at application level
Sqoop (Real world datasets and analysis)
- What is Sqoop?
- Why Sqoop?
- Importing and exporting data using Sqoop
- Provisioning Hive Metastore
- Sqoop Connectors
- What are the features of Sqoop?
- What are the performance benchmarks in our cluster for Sqoop
Flume(Twitter Datasets & Analysis)
What is Flume?- Why Flume?
- Importing Data using Flume
- Twitter Data Analysis using Hive
Clouderra (Commercial Distribution for hadoop)
- Basic to solution phase
- Why Clouderra
- How to use and real time usage
Real time issues discussion and interview tips