Big data Hadoop framework has many applications where the data is analyzed in big volumes. Big Data with Hadoop enables multiple types of analytic workloads to execute on similar data, at the same time, at a huge scale on industry-standard hardware. Hadoop is written in Java programming language. As the future scope of Big data Hadoop is high, it is used in social networking platforms like Facebook, Yahoo, Google, Linkedin, Twitter and etc. Hadoop is one of the most in-demand skills, so master the skills through industry experts training to become a Hadoop Developer expert. Our Big data Hadoop online course is designed to give you a competitive edge in the ever-evolving IT job market.
Hachion’s Big Data Hadoop tutorial is well prepared by skilled trainers for the beginners, middle-level, and professionals. Basic and advanced topics are also included in the course syllabus to enhance your professional skills. This course provides in-depth knowledge of the Big Data framework using Hadoop and its ecosystem, and explore various applications and tools to process and analyze large volumes of data. Our Big Data Hadoop training will give practical knowledge on HDFS, MapReduce, Hbase, Hive, Pig, Yarn, Oozie, Flume and Sqoop concepts using real-time applications like retail, social media, aviation, tourism, finance domain. Upon completing the course learners will gain expert knowledge in Big Data Hadoop and its ecosystem.
Big Data
Limitations and Solutions of existing Data Analytics Architecture
Hadoop
Hadoop Features
Hadoop Ecosystem
Hadoop 2.x core components
Hadoop Storage: HDFS
Hadoop Processing: MapReduce Framework
Hadoop Different Distributions
Hadoop 2.x Cluster Architecture - Federation and High Availability
A Typical Production Hadoop Cluster
Hadoop Cluster Modes
Common Hadoop Shell Commands
Hadoop 2.x Configuration Files
Single node cluster and Multi node cluster set up Hadoop Administration
MapReduce Use Cases
Traditional way Vs MapReduce way
Why MapReduce
Hadoop 2.x MapReduce Architecture
Hadoop 2.x MapReduce Components
YARN MR Application Execution Flow
YARN Workflow
Anatomy of MapReduce Program
Demo on MapReduce
Input Splits
Relation between Input Splits and HDFS Blocks
MapReduce: Combiner & Partitioner
Demo on de-identifying Health Care Data set
Demo on Weather Data set
Counters
Distributed Cache
MRunit
Reduce Join
Custom Input Format
Sequence Input Format
Xml file Parsing using MapReduce
About Pig
MapReduce Vs Pig
Pig Use Cases
Programming Structure in Pig
Pig Running Modes
Pig components
Pig Execution
Pig Latin Program
Data Models in Pig
Pig Data Types
Shell and Utility Commands
Pig Latin : Relational Operators
File Loaders, Group Operator
COGROUP Operator
Joins and COGROUP
Union
Diagnostic Operators
Specialized joins in Pig
Built In Functions ( Eval Function, Load and Store Functions, Math function, String Function, Date Function, Pig UDF, Piggybank, Parameter Substitution ( PIG macros and Pig Parameter substitution )
Pig Streaming
Testing Pig scripts with Punit
Aviation use case in PIG
Pig Demo on Healthcare Data set
Hive Background
Hive Use Case
About Hive
Hive Vs Pig
Hive Architecture and Components
Metastore in Hive
Limitations of Hive
Comparison with Traditional Database
Hive Data Types and Data Models
Partitions and Buckets
Hive Tables (Managed Tables and External Tables)
Importing Data
Querying Data
Managing Output
Hive Script
Hive UDF
Retail use case in Hive
Hive Demo on Healthcare Data set
Advanced Hive and HBase
Hive QL: Joining Tables
Dynamic Partitioning
Custom Map/Reduce Scripts
Hive Indexes and views Hive query optimizers
Hive: Thrift Server, User Defined Functions
HBase: Introduction to NoSQL Databases and HBase
HBase v/s RDBMS
HBase Components
HBase Architecture
Run Modes & Configuration
HBase Cluster Deployment
Advanced HBase
HBase Data Model
HBase Shell
HBase Client API
Data Loading Techniques
ZooKeeper Data Model
Zookeeper Service
Zookeeper
Demos on Bulk Loading
Getting and Inserting Data
Filters in HBase
What is Apache Spark
Spark Ecosystem
Spark Components
History of Spark and Spark Versions/Releases
Spark a Polyglot
What is Scala?
Why Scala?
SparkContext
RDD
Flume and Sqoop Demo
Oozie
Oozie Components
Oozie Workflow
Scheduling with Oozie
Demo on Oozie Workflow
Oozie Co-ordinator
Oozie Commands
Oozie Web Console
Oozie for MapReduce
PIG
Hive, and Sqoop
Combine flow of MR
PIG
Hive in Oozie
Hadoop Project Demo
Hadoop Integration with Talend
One of the most important reasons to learn Big Data and Hadoop is that it provides an array of job opportunities to support your career to a remarkable level. Big Data Hadoop is one of the most sought after skills in the job market. There is a huge demand for Big Data professionals around the globe in top companies of the IT industry. Big Data & Hadoop Market is expected to exponential growth by 2022.
Our Big Data with Hadoop online course curriculum structured with all basic and advanced concepts of Apache Hadoop and Map Reduce architecture and Hadoop ecosystem components like Hive, Pig, Sqoop, Flume, HBase, Oozie, etc. Our training provides in-depth knowledge in Spark & Scala and the integration of various ecosystem components with Hadoop and the integration of components among each other. A fully hands-on based training approach through the implementation of Hadoop best practices performance tuning techniques through real-time projects and designs.
According to the survey conducted by PayScale, the average annual pay for a Big Data Hadoop Developer is $122,208 per year.
Qualifying a Hadoop certification validates candidates' expertise and skills and adds value to a career as a certified Hadoop professional expert. We provide complete assistance in acquiring Hadoop certification. However, which one you should choose that exclusively depends on your personal needs, organizational requirements, Hadoop certification cost, and certification validity for a specific vendor:
As such, there are no pre-requisites for learning Hadoop. Knowledge of Core Java and SQL will be beneficial, but certainly not a mandatory.
We provide 100% job assistance to the Hachion students, once they complete the course. We also provide resume writing, mock interviews and resume marketing services as part of our job assistance program.
We offer three modes of training in Big Data Hadoop online training program.
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