online big data hadoop training in usa,uk,canada,australia,dubai,hyderabad,bangalore,mumbai
TRANSCRIPT
A1TrainingsOnline Big Data Hadoop Training in
USA,UK,Canada,Australia,Dubai,Hyderabad,Bangalore,Mumbai
Hadoop Course Content
Introduction to Big Data and Hadoop Hadoop ecosystem – Concepts Hadoop Map-reduce concepts and features Developing the map-reduce Applications Pig concepts Hive concepts Oozie workflow concepts Flume Concepts Hue Concepts HBASE Concepts Real Life Use Cases
During this course, you will learn:
Basics Installations Backups Snapshots
Virtual box/VM Ware
Basics Installations Commands
Linux
Why Hadoop? Scaling Distributed Framework Hadoop v/s RDBMS Brief history of hadoop
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
Setup hadoop
HDFS Design and Architecture HDFS Concepts Interacting HDFS using command line Interacting HDFS using Java APIs Dataflow Blocks Replica
HDFS- Hadoop distributed File System
Name node Secondary name node Job tracker Task tracker Data node
Hadoop Processes
Developing Map Reduce Application Phases in Map Reduce Framework Map Reduce Input and Output Formats Advanced Concepts Sample Applications Combiner
Map Reduce
Map-side join Reduce-Side join
Joining datasets in Mapreduce jobs
Custom Input format class Hash Partitioner Custom Partitioner Sorting techniques Custom Output format class
Map reduce – customization
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
Hadoop Programming Languages :-I).HIVE
Basics Installation and Configurations Commands…. OVERVIEW HADOOP DEVELOPER
II).PIG
Problems with traditional large-scale systems
Requirements for a new approach
IntroductionThe Motivation for Hadoop
Map-side join Reduce-Side join
Hadoop: Basic Concepts
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
Introduction
The MapReduce Flow Examining a Sample MapReduce Program Basic MapReduce API Concepts The Driver Code The Mapper The Reducer Hadoop’s Streaming API Using Eclipse for Rapid Development Hands-on exercise The New MapReduce API
Writing a MapReduce Program
Sorting and Searching Indexing Machine Learning With Mahout Term Frequency – Inverse Document
Frequency Word Co-Occurrence Hands-On Exercise.
Common MapReduce Algorithms
Data loading in PIG. Data Extraction in PIG. Data Transformation in PIG. Hands on exercise on PIG.
PIG 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
Hive Concepts.
Introduction. Import Data. Export Data. Sqoop Syntaxs. Databases connection. Hands-on exercise
Working with Sqoop
Introduction. Configuration and Setup. Flume Sink with example. Channel. Flume Source with example. Complex flume architecture. OOZIE Concepts IMPALA Concepts HUE Concepts
Working with Flume--------------02 Hours
Tableau Software… 1.Tableau Fundamentals. 2.Tableau Analytics. 3.Visual Analytics. 4. Hands-on exercise
Reporting Tool:
Contact Info Address: Madhapur, Hyderabad. Email: [email protected] Call us: 7680813158 Web: www.a1trainings.com
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