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Hadoop Training in Bangalore
Hadoop technology is the best explanation for solving the challenges that arise in the situation of this massive data flow. It helps the controlled flow of data along with the best methods for thriving storing of the huge amount of data that is being in use in our everyday life.
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Big Data Certification Course Online
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- Lifetime access to high-quality self-paced e-learning content curated by industry experts
- 24×7 learner assistance and support
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- 90 days of flexible access to instructor-led online training classes
- Lifetime access to high-quality self-paced e-learning content and live class recordings
- 24×7 learner assistance and support
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- Lifetime access to high-quality self-paced e-learning content curated by industry experts
- 24×7 learner assistance and support
Overview
Course Description
Big data is a universal term used to portray the huge amount of shapeless and semi-structured data a business creates – data that would take too much time and cost too much money to fill into a relational database for investigation. If you are trying to grow in your career and yearn on becoming financially established, then Big Data Certification will be the perfect career option for you. So what is this big data certification course online? This Big data online course with certification provides the information essential to operate the enormous sets of data to which businesses today handle. Data is a corporate resource and adapting big data certification will provide for the individuals who are keen on this field the analytic tools important pull substantial conclusions from this information. Various training classes are available online today to enable individuals to seek to acquire a safe future. It is imperative to pick the right training provider who won’t just give quality training yet, in addition, be a mentor for your career. How to choose the best Certification Partner? It is always better to decide on a big data certification course online which is recognized and renowned. Today, the industry is filled with online courses. Do a detailed reviews check of the training course you have in mind and consult students who have already completed the course. This is one of the finest ways to gather information before joining. Why should you enroll in a Big data online course with certification? Feasibility: While some of the aspirants may be busy with college and will not find the time to be physically available in a classroom-type learning environment. For those interested and who are already working and want to specialize in big data, big data online course certification will be a perfect choice. Certification: The primary step should be to opt for the best course for yourself depending on your wants. Training courses online offer abundant certification courses to select from. Some of the offered courses are Introduction to Big Data, Modeling, and Management, Machine Learning, Graphic Analytics, Integration, and Processing, etc. Facility: The Big data online course with certification gives you a good trainer-student interaction. Each certification course will be taught by experts who are well-versed in big data. The staff is knowledgeable and well-qualified to give the aspirants the preeminent e-learning experience. E-learning: Free ebooks, learning materials, and simulation tests should be made accessible to aspirants. This will not only help those who would like to make an extra endeavor but to individuals who would have missed out on some regular classes. Selecting a good online training course is imperative if you want to learn big data certification professionally over a short period. If you are yearning of becoming a Big Data Developer, Big Data Analyst or Engineer then join a training course online today at Prwatech to turn your dreams into reality.
What is so unique about this course?
The following are the features that make unique about the course:
• All our trainers have 10+ years of Industrial experience.
• We provide you technical support, if you miss any session you don’t have to wait for next session just contact the technical support team and they will provide the support through webinar.
• We are Helping with LMS as well,where each session will recorded and you will get a fair chance if you miss a class to use our LMS service.
•We provide live projects and case studies.
•Prwatech does provide you with placement assistance. We have tie-ups with 50+ organizations including L&T, Cisco, Cognizant, TCS, among others that are looking for Big Data professionals and we would be happy to help you with the process of preparing yourself for the interview and the job.1000+ career transitions.
Target Audience:
- IT professionals.
- Freshers aspiring to learn and explore the basics of Big Data Analytics using Hadoop and Spark Framework and become a Big data Hadoop Developer.
- Software Professionals, Analytics Professionals, and ETL developers are the key recipient of the course.
Curriculam
Learning Objective : In this module, you will explore what is BigData, What are its limitations of the existing solutions for BigData problem, How Hadoop solves the Big Data problem, What are the common Hadoop ecosystem components, How Hadoop Architecture works, HDFS and Map Reduce Framework, and Anatomy of File Write and Read in HDFS .
Topics :
- Hadoop Cluster Architecture
- Hadoop Cluster Architecture
- Hadoop Cluster Mods
- Multi-Node Hadoop Cluster
- A Typical Production Hadoop Cluster
- Map Reduce Job execution
- Common Hadoop Shell Commands
- Data Loading Technique: Hadoop Copy Commands
- Hadoop Project: Data Loading
Learning Objective : In this module, you will learn the Hadoop 1.x and 2.x Cluster Architecture and Setup, Important File Configurations in Hadoop Cluster and Data Loading Techniques .
Topics,
- Hadoop 2.x Cluster Architecture
- Federation and High Availability Architecture
- Typical Production Hadoop Cluster
- Hadoop Cluster Modes
- Common Hadoop Shell Commands
- Hadoop 2.x Configuration Files
- Single Node Cluster & Multi-Node Cluster set up
- Basic Hadoop Administration
Learning Objective : This module will help you understand multiple hadoop server roles such as Namenode & Datanode and their responsibilities and MapReduce data processing. You will also understand the Hadoop 1.0 cluster setup and configuration, steps in setting up Hadoop clients using Hadoop 1.0, and important Hadoop configuration files and parameters .
Topics,
- Hadoop Installation and Initial Configuration
- Deploying Hadoop in fully-distributed mode
- Deploying a multi-node Hadoop cluster
- Installing Hadoop Clients
- Hadoop server roles and their usage
- Rack Awareness
- Anatomy of Write and Read
- Replication Pipeline
- Data Processing
Learning Objective : In this module, you will be understanding all the regular Cluster Administration task such as adding and removing data nodes, namenode recovery, configuring backup and recovery in hadoop, Diagnosing the node failure in the cluster, Hadoop upgrade etc.
Topics,
- setting up Hadoop Backup
- Whitelist and Blacklist data nodes in cluster
- setup quota’s, upgrade hadoop cluster
- Copy data across clusters using distcp
- Diagnostics and Recovery
- Cluster Maintenance
- Configure rack awareness
Learning Objective : Flume is a standard, simple, robust, flexible, and extensible tool allows data ingestion from various data producers (web servers) into Hadoop.
Topics,
- What is Flume
- Why Flume
- Importing Data using Flume
- Twitter Data Analysis using Hive
Learning Objective : In this module, we will learn about analytics with PIG. About Why Pig used, Pig Latin scripting, complex data type, different cases to work with PIG. Execution environments, operation & transformation.
Topics,
- Execution Types
- Grunt Shell
- Pig Latin
- Data Processing
- Schema on read Primitive data types and complex data types and complex data types
- Tuples Schema
- BAG Schema and MAP Schema
- Loading and storing
- Validations in PIG, Type casting in PIG
- Filtering, Grouping & Joining, Debugging commands (Illustrate and Explain)
- Working with function
- Types of JOINS in pig and Replicated join in detail
- SPLITS and Multi query execution
- Error Handling
- FLATTEN and ORDER BY parameter
- Nested for each
- How to LOAD and WRITE JSON data from PIG
- Piggy Bank
- Hands on exercise
Learning Objective : This module will cover to Import & Export Data from RDBMS(MySql, Oracle,Plsql) to HDFS & Vice Versa
Topics,
- What is Sqoop
- Why Sqoop
- Importing and exporting data using sqoop
- Provisioning Hive Metastore
- Populating HBase tables
- SqoopConnectors
- What are the features of sqoop
- Multiple case with HBase using client
- What are the performance benchmarks in our cluster for sqoop
Learning Objectives : This module will allow you to explore all the advanced HBase concepts. You will also learn what Zookeeper is all about, how It helps in monitoring a cluster, why HBase uses zookeeper and how to build an application with zookeeper.
Topics,
- The Zookeeper Service : DataModel
- Operations
- Implementations
- Consistency
- Sessions
- States
Learning Objective : in this module, you will understand the newly added features in Hadoop 2.0, namely MRv2, Namenode’s High Availability, HDFS federation, support for Window etc.
Topics,
- Hadoop 2.0 New Feature : Name Node High Availability
- HDFS Federation
- MRv2
- YARN
- Running MRv1 in YARN
- Upgrade your existing MRv1 to MRv2
In this module, will work on Hadoop MapReduce Framework. How MapReduce implement on Data which is stored in HDFS. Know about input split, input format & output format,Mapreduce flow, Overall Map Reduce process & different stages to process the data.
Topics,
- Map Reduce Concepts
- Mapper and Reducer
- Driver
- Record Reader
- Input Split(Input Format (Input Split and Records, Text Input, Binary Input, Multiple InputOverview of InputFileFormat
- Hadoop Project : MapReduce Programming
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Big Data Certification Course Online
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