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Hadoop is now one of the emerging career options in the IT industry We Provides best Hadoop online Training with 100% Live Projects, Placements, in USA,UK,Canada,Australia, Dubai,India @ 91 7680813158.
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A1Trainings Online Big Data Hadoop Training in USA,UK,Canada,Australia,Dubai,Hyderabad,Bangalore,Mumbai
During this course, you will learn: • Introduction to Big Data and Hadoop • Hadoop ecosystem – Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Oozieworkflow concepts • Flume Concepts • Hue Concepts • HBASE Concepts • Real Life Use Cases
Virtual box/VM Ware • Basics • Installations • Backups • Snapshots
Linux • Basics • Installations • Commands
Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop
Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions
HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica
Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node
Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner
Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join
Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class
Hadoop Programming Languages :-I).HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in HIVE
II).PIG • Basics • Installation and Configurations • Commands…. • OVERVIEW HADOOP DEVELOPER
IntroductionThe Motivation for Hadoop • Problems with traditional large-scale systems • Requirements for a new approach
Hadoop: Basic Concepts • Map-side join • Reduce-Side join
Introduction • An Overview of Hadoop • The Hadoop Distributed File System • Hands-On Exercise • How MapReduce Works • Hands-On Exercise • Anatomy of a Hadoop Cluster • Other Hadoop Ecosystem Components
Writing a MapReduce Program • The MapReduce Flow • Examining a Sample MapReduce Program • Basic MapReduce API Concepts • The Driver Code • The Mapper • The Reducer • Hadoop’sStreaming API • Using Eclipse for Rapid Development • Hands-on exercise • The New MapReduce API
Common MapReduce Algorithms • Sorting and Searching • Indexing • Machine Learning With Mahout • Term Frequency – Inverse Document Frequency • Word Co-Occurrence • Hands-On Exercise.
PIG Concepts.. • Data loading in PIG. • Data Extraction in PIG. • Data Transformation in PIG. • Hands on exercise on PIG.
Hive Concepts. • Hive Query Language. • Alter and Delete in Hive. • Partition in Hive. • Indexing. • Joins in Hive.Unions in hive. • Industry specific configuration of hive parameters. • Authentication & Authorization. • Statistics with Hive. • Archiving in Hive. • Hands-on exercise
Working with Sqoop • Introduction. • Import Data. • Export Data. • SqoopSyntaxs. • Databases connection. • Hands-on exercise
Working with Flume--------------02 Hours • Introduction. • Configuration and Setup. • Flume Sink with example. • Channel. • Flume Source with example. • Complex flume architecture. • OOZIE Concepts • IMPALA Concepts • HUE Concepts
Reporting Tool: • Tableau Software… • 1.Tableau Fundamentals. • 2.Tableau Analytics. • 3.Visual Analytics. • 4. Hands-on exercise
About Us • Contact Info • Address: Madhapur, Hyderabad. • Email: contact@a1trainings.com • Call us: 7680813158 • Web: www.a1trainings.com