Hadoop Online Training


Institute offers Online Hadoop Training with Hadoop certification training material Learn Big Data Hadoop course by experts. Live Tutorial Videos  Apache Hadoop Job Support Attend Demo for free & you will find Spiritsofts is the best Institute within reasonable fee.

Spiritsofts is the best Training Institutes to expand your skills and knowledge. We Provides the best learning Environment. Obtain all the training by our expert professionals which is having working experience from Top IT companies.

The Training in is every thing we explained based on real time scenarios, it works which we do in companies.

Experts Training sessions will absolutely help you to get in-depth knowledge on the subject.

Key FeaturesCourse ContentFAQs
  • 40 hours of Instructor Training Classes    
  • Lifetime Access to Recorded Sessions  
  • Real World use cases and Scenarios 
  • 24/7 Support
  • Practical Approach
  •  Expert & Certified Trainers

Hadoop Course Content

Administrator coaching for Apache Hadoop
Introduction to Big Data and Hadoop

  • hat is Big Data?
  • What area unit the challenges for process Big data?
  • What technologies support Big data?
  • Distributed systems
  • What is Hadoop?
  • Why Hadoop?
  • History of Hadoop
  • Use Cases of Hadoop
  • Hadoop eco System
  • HDFS
  • Map scale back
  • Statistics

Understanding the Cluster

  • Typical work flow
  • Writing files to HDFS
  • Reading files from HDFS
  • Rack Awareness
  • 5 daemons

Best Practices for Cluster Setup

  • Best Practices
  • How to decide on the proper hadoop distribution
  • How to decide on right hardware

Cluster Setup

  • Install Pseudo cluster
  • Install Multi node cluster
  • Configuration
  • Setup cluster on Cloud – EC2
  • Tools
  • Security
  • Benchmarking the cluster

Routine Admin procedures

  • Metadata & knowledge Backups
  • Filesystem check (fsck)
  • File system Balancer
  • Commissioning and decommissioning nodes
  • Upgrading
  • Using DFS Admin

Monitoring the Cluster

  • Using the online user interfaces
  • Hadoop Log files
  • Setting the log levels
  • Monitoring with Nagios

Install ,Configure and use

  • PIG
  • HIVE
  • HBASE
  • Flume and Sqoop
  • Zookeeper

Developer coaching for Apache Hadoop
Introduction to Big Data and Hadoop

  • What is Big Data?
  • What area unit the challenges for process Big data?
  • What technologies support Big data?
  • Distribution systems.
  • What is Hadoop?
  • Why Hadoop?
  • History of Hadoop
  • Use Cases of Hadoop
  • Hadoop eco System
  • HDFS
  • Map scale back
  • Statistics

Understanding the Cluster

  • Typical work flow
  • Writing files to HDFS
  • Reading files from HDFS
  • Rack Awareness
  • 5 daemons

Developing the Map scale back Application

  • Configuring development atmosphere – Eclipse
  • Writing Unit check
  • Running regionally
  • Running on Cluster
  • MapReduce workflows

How MapReduce Works

  • Anatomy of a MapReduce job run
  • Failures
  • Job programing
  • Shuffle and type
  • Task Execution

MapReduce varieties and Formats

  • MapReduce varieties
  • Input Formats – Input splits & records, text input, binary input, multiple inputs & information input
  • Output Formats – text Output, binary output, multiple outputs, lazy output and information output

MapReduce options

  • Counters
  • Sorting
  • Joins – Map aspect and scale back aspect
  • Side knowledge Distribution
  • MapReduce Combiner
  • MapReduce Partitioner
  • MapReduce Distributed Cache

Hive and PIG

  • Fundamentals
  • When to Use PIG and HIVE
  • Concepts

HBASE

  • CAP Theorem
  • Hbase design and ideas
  • Programming
Who Are The Trainers?
Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Spiritsofts verifies their technical background and expertise.
What If I Miss A Class?
We record each LIVE class session you undergo through and we will share the recordings of each session/class.
How Will I Execute The Practical?
Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.
If I Cancel My Enrollment, Will I Get The Refund?
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.
Will I Be Working On A Project?
The Training itself is Real-time Project Oriented.
Are These Classes Conducted Via Live Online Streaming?
Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.
Is There Any Offer / Discount I Can Avail?
There are some Group discounts available if the participants are more than 2.
Who Are Our Customers?
As we are one of the leading providers of Live Instructor LED training, We have customers from USA, UK, Canada, Australia, UAE, Qatar, NZ, Singapore, Malaysia, Sydney, France, Finland, Sweden, Spain, Russia Moscow, Denmark, London, England, South Africa, Switzerland, Kenya, Philippines, Japan, Indonesia, Pakistan, Saudi Arabia,  Qatar, Kuwait, Germany, Frankfurt Berlin Munich, Poland, Belarus, Belgium Brussels Netherlands Amsterdam, India and other parts of the world.

We are located in USA. Offering Online Training in Cities like New York, New jersey, Dallas, Seattle, Baltimore, Tempe, Chandler, Scottsdale, Peoria, Honolulu, Columbus, Raleigh, Nashville, Plano, Toronto, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Houston, Minneapolis, Los Angeles, San Francisco, San Jose, San Diego, Washington DC, Chicago, Philadelphia, St. Louis, Edison, Jacksonville, Towson, Salt Lake City, Davidson, Murfreesboro, Atlanta, Alexandria, Sunnyvale, Santa Clara, Carlsbad, San Marcos, Franklin, Tacoma, California, Bellevue, Austin, Charlotte, Garland, Raleigh-Cary, Boston, Orlando, Fort Lauderdale, Miami, Gilbert.

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