|Best Hadoop Online Training in US
Best Hadoop Online Training in US
|Bhesajinfo offers the Best Hadoop online training in US is meant by IT Professionals with the IT business Specialists as our trainer's square measure toughened and certified trainers. They share their expertise tips and tricks within the Hadoop online trainee students. we have a tendency to are delighted to be one in every of the simplest leading IT online training in US with best toughened IT professionals and training resources.
we've been providing courses to consultants, corporations in order that they'll meet all the challenges in their individual technologies Hadoop has succeeded in building a strong foundation for Big Data solutions. Map/Reduce and Hadoop Distributed File System (HDFS) have become the building blocks for implementing large scale distributed processing solutions. While popular, Map/Reduce, being batch oriented and I/O intensive is not suited for interactive analysis, graph processing, machine learning and real-time processing solutions. This need of leveraging the popularity of Hadoop and using it to support general purpose distributed computing, resulted in a complete overhaul of the Hadoop eco-system.
Course Contents :
1. Hadoop: Overview
Move computation not data.
Hadoop performance and data scale facts.
Hadoop in the context of other data stores.
The Apache Hadoop Project.
Hadoop – an inside view: MapReduce and HDFS.
The Hadoop Ecosystem.
What about NoSQL?
2. MapReduce Map and Reduce.
Java Map Reduce.
Running a Distributed Map.
Reduce Job Hadoop Streaming: Python
3. The Hadoop Distributed Filesystem
HDFS Design & Concepts
Blocks, Namenodes and Datanodes
Hadoop fs The Command-Line Interface
Basic Filesystem Operations
Reading Data from a Hadoop URL
Reading Data Using the FileSystem API
Data Flow Anatomy of a File Read
Anatomy of a File Write Coherency Model
4. How MapReduce Works
Anatomy of a MapReduce Job Run
Job Submission Job Initialization, Task Assignment, Task Execution
Progress and Status Updates
Job Completion, Failures
Shuffle and Sort - Map Side, Reduce Side
Task Execution, Speculative Execution, Task JVM Reuse, Skipping Bad Records
The Task Execution Environment
5. Hadoop Administrator
Setting Up a Hadoop Cluster
Cluster Setup and Installation
Important Hadoop Daemon Properties
Hadoop Daemon Addresses and Ports
Benchmarking a Hadoop Cluster: TeraByte Sort on Apache
Hadoop on Amazon EC2
Monitoring, Logging Routine Administration Procedures
Commissioning and Decommissioning Nodes
Installing and Running Pig
Running Pig Programs
Concepts Data Model, Schema Design
REST and Thrift
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|Ad id:|| 262341
|| 2017.06.18 (in 25 days)
| Current rating
|| (after 0 votes)
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