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Big Data Hadoop Certification Course

Description

The Big Data Hadoop Certification Course is designed Big Data Industry experts to give you in-depth knowledge of the Big Data and Hadoop Ecosystem tools. You will learn HDFS, MapReduce, Hive, Pig, Spark, HBase, Oozie, Flume and Yarn with real-time industry use cases like in Healthcare, Social media, Banking, Finance and e-Commerce domains.

Why you should take Big Data Hadoop Certification Course?

  • The Big Data market to climb to $210 billion by 2020 (Arrow magazine)
  • Average Salary of Big Data Hadoop Developers is $140,000 (Indeed.com Data)
  • Big Data market revenues are projected to increase from $42 billion in 2018 to $103 billion in 2027 (CAGR)

Trainings for

Individual Classroom LearningCorporate Training Solutions
Instructor led Practical Oriented TrainingFace 2 Face Interactive Practical Oriented training
State of the Art Training LabsLearn as per full day schedule with discussions and exercises
Flexible ScheduleDoubt Clear sessions
Technical SupportCompletely Customizable course content and schedule based on your need
Use cases implementationsCertification Guidance Provided
Certification Guidance ProvidedCase studies and Use cases implementations

Workshop on Use case Implementation

– Social Media use case with Integration with Tableau
– Log processing use case with Tableau.

What next?

Since you gained Big Data Hadoop knowledge and it is time to take a next step to be acquainted with Big Data Hadoop Workshops. These workshops are Practical Oriented.

Workshop on Use case Implementation

FeaturesDevLabs AllianceOther Training Providers
Classroom Session ✔ Interactive Classes room session with Extensive hands-onInstructor led, no hands-on
1-1 Training
Training ScheduleFlexibleFixed
Customized Course
Access to Recorded Videos
EMI Options
Support Post Session
Case Studies Discussion
Course Details
  • What is Big Data?
  • Big Data in Use cases
  • Big data 3 Vs concepts
  • Big data diff data types— structured, unstructured and semi structured
  • RDBMS vs Hadoop
  • Hadoop Ecosystem
  • Various Hadoop Distributions
  • Hadoop Cluster(HDFS & MapReduce concepts)
  • HDFS Architecture
  • HDFS Writes
  • HDFS Reads
  • Rack awareness
  • Fault Tolerance
  • NameNode
  • Secondary NameNode
  • Interact with HDFS
  • HDFS Commands
  • HDFS Java API
  • HDFS REST API
  • Hands on Exercises
  • MapReduce architecture
  • MapReduce Model
  • MapReduce Framework and Various phases
  • Input/output formats
  • Practitioner and combiner concepts with example
  • Map Reduce Hands On Programming with word count example run on Ubuntu
  • Distributed Cache
  • Map side join Vs Reduce Side Join
  • Managing and Scheduling Jobs,
  • types of schedulers in Hadoop,
  • Configuring the schedulers and run MapReduce jobs,
  • Hands on Exercises
  • Pig philosophy and architecture
  • Pig installation on Ubuntu
  • Grunt shell
  • Loading data
  • Exploring Pig Latin commands
  • Pig Transformations functions
  • UDF function in java in Pig
  • Pig Loader & Storage
  • Joins in Pig
  • Hands on Exercises
  • Hive architecture
  • Hive installation on Ubuntu
  • Hive vs RDBMS
  • HiveQL and the Hive shell
  • Data types and schemas
  • Creating tables (external vs managed)
  • Creating Partitions
  • Creating Views and Indexes
  • UDF function in java in Hive
  • Using hive create diff types of format
  • Architecture and schema design
  • Hbase installation on Ununtu
  • HBase vs. Other NoSQL Options
  • HMaster and Region Servers
  • Column Families and Regions
  • Hbase installation and java api to access to HBase
  • MongoDB & Cassandra Introduction
  • What is Sqoop?
  • Sqoop Usage
  • Sqoop Installation
  • Sqoop Commands
  • Flume Concepts.
  • Installing & Configuring on Cluster.
  • Writing a Sample program using Flume Concept.
  • Oozie Concepts.
  • Installing & Configuring on Cluster.
  • Writing a Sample program using Oozie Concept.
  • Spark Introduction.
  • Installing & Configuring on Cluster.
  • Hands example on various modules e.g. Apache Spark Core, Apache Spark SQL, Apache Spark Streaming
  • HDFS Federation
  • Hadoop HA
  • Advanced Hadoop MapReduce (MapReduce 2) or YARN
FAQ

You will be provided desktops with the required hardware configuration, at the venue.

All our practical sessions will be performed on the AWS Cloud. We will help you set up your AWS Free Tier account once you enroll for the course. We will together create VMs, and configure it with the required setup for the hands on experience.

We will try to arrange some extra time so that you can align yourself with the ongoing class.

For Virtual Instructor-Led (IVLT) training:

You are requested to raise the refund request within 7 days of the beginning of the first batch in which you are eligible to attend. Refund/Money back does not apply in any other condition, except the batch is cancelled by DevLabs Alliance due to instructor unavailability insufficient enrollments, or forced measures(like floods, earthquakes, national/global pandemic, political instability, etc.). However, the learner can choose to join another batch of the same training/course after discussing with DevLabs Alliance management.

For refund conditions, please refer to the “Refund” section below.

For Classroom Training

We may need to postpone/cancel an event because of many reasons, such as insufficient enrollments, instructor unavailability, or force majeure events (like floods, earthquakes, political instability, etc). For refund conditions, please refer to the “Refund” section below.

For Refund(applicable for IVLT and Classroom training)

If we cancel an event, 100 percent of training/course fees will be refunded to the learner.

If a cancellation is done by an attendee, 7 days (or more) before the batch begins, a total of 10% of the total paid fee will be deducted and the remaining amount will be refunded to the learner.

If a cancellation is done by a learner within 7 days (or less) of the start of the batch or after attending a maximum of 2 classes, 25% of the total paid fee will be deducted and the remaining amount will be refunded to the learner.

Refund requests can be initiated by sending emails to the DevLabs Alliance team at training@devlabsalliance.com or accounts@devlabsalliance.com. Refund request usually takes 3-4 working days to get approved by Finance and then 10-15 working days to get the payment back into the source account of the learner.

Please inform us at the earliest. For real urgent and unforeseen situations, we will try and accommodate you in any of the upcoming training batches.

Once you complete the training program and score minimum 75% marks in the qualifying exam, you will be awarded the DevOps Certified Professional Certificate.

You can email us at training@devlabsalliance.com for all your queries. We will try and respond with the solution at the earliest.

Your certificate has a lifetime validity.

Bangalore, Delhi, Gurgaon, Noida, Pune, London, Singapore

Upcoming Classes
Training Schedule

Training Cost

  • Enrolled: 210 students
  • Duration: 40 hours
  • Modules: 11
  • Level: Advanced