Course Description

Learn Big Data with in-depth courses from Learning Spear’s expert authors. Gain a deep understanding of how to build, deploy and scale programs with Hadoop. Our teaching will help take your skillset to the next level in this developing platform.

This course is for those who are new to data engineering/science and interested in understanding why the Big Data Era has come to be. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data engineering/analysis easier and more accessible -- increasing the potential for data to transform our world!

You'll walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems.

What You Learn

  • + Install and work with a real Hadoop installation right on your desktop with Cloudera and Google cloud platform
  • + Learn to Manage/store terabytes of data in HDFS.
  • + Write programs to analyse data on Hadoop with Spark.
  • + Store and query your data with Sqoop, Hive, MySQL, HBase
  • + Design real-world systems using the Hadoop ecosystem.
  • + Learn how your cluster is managed with YARN, Mesos, Zookeeper, Oozie, Zeppelin, and Hue.
  • + Handle streaming data in real time with Kafka, Flume, Spark Streaming


The hands on experience is a necessity because you learn when you do. Courses in learning sphere are so designed to spend at least half of the class-time working hands on with the technologies in real time.


We will provide you with a PDF copy of the course materials. You will need a computer to connect to the WebEx session, and to connect to the cloud-based VM.


NOVEMBER 18, 2017
training course
9 AM – 4 PM PST

NOVEMBER 20, 2017
training course
6 PM – 7.30 PM PST

Course Content

Its salient features are code readability, ease of use, extensibility, platform independence and wide scope of applications. It is often chosen as the language taught in "intro to programming" courses in college. Whether creating GUI apps, systems administration scripts, or data-driven web sites, Bigdata / Hadoop is a popular choice.

  • - Hadoop in standalone mode
  • - Hadoop in Pseudo - distributed mode
  • - Installing Hadoop in Google Cloud
  • - Architecture
  • - NameNode & DataNode
  • - Fault tolerance & Replication
  • - HDFS Commands
  • - Distributed Architecture basics
  • - MapReduce components
  • - Map, Reduce, Combine, and Partitioner
  • - Java Implemenation
  • - Algorithms
  • - Anotomy of YARN
  • - YARN components
  • - Schedulers
  • - YARN commands
  • - Introudction to sqoop
  • - Architecture
  • - Sqoop JDBCDriver and Connectors
  • - Options to Import Data
  • - Importing Data from MySQL
  • - Hands On
  • - Introuduction to HIVE
  • - HIVE Architecture
  • - Hive Services & Client
  • - Introduction to HiveQL
  • - Data Types and File Formats in Hive
  • - Internal and External Tables
  • - Understand Storage Formats
  • - Querying Data
  • - Writing User Defined Functions (UDFs)
  • - Hands On
  • - Introduction to Flume
  • - Data Acquisition
  • - Deep dive on Source, Channel & Sink
  • - Flume Components(Source, Sink, Channel)
  • - Flume Events
  • - Interceptors, Channel Selectors, Sink Processor
  • - Hands On
  • - Broker, Topic creations
  • - Adding Partitions
  • - Listing topics in a cluster
  • - Describing topics in a cluster
+ Knowledge on SQL, JAVA. + Database concepts. + A familiarity with the Unix/Linux command line will be very helpful. + Good troubleshooting skills

per course

  • 25 Hours


Yes, you can attend a DEMO session before you enrol for the class.We have limited number of participants in a live session to maintain the Quality Standards.
If you would like to attend a DEMO session, please DROP US A QUERY with proper explanation and we will redirect you there with in no time.
However, you can go through the COURSE CONTENT and it would give you a clear insight about what are the topics you learn in the classes and we believe in quality of instructors and the level of interaction in the class.

All instructors at Learning Spear are senior industry practitioners with minimum 10 - 12 years of relevant IT experience. They are subject matter experts who trained by Learning Spear to provide impeccable learning experience to all our global users.

You will never miss a lecture at Learning Spear.
You can choose either of the two options:

  • View the recorded session of the class available.
  • You can attend the missed session in any other live batch.

We teach both weekends & weekdays classes, you can view the updated upcoming sessions on the SCHEDULE page with timings, Connect with your mentor to schedule weekly one-on-one meetings at intervals that work best for you.

There’s never been a better time to start a career as a web developer. From start ups to Fortune 100 companies, there is a consistent demand for both developers who write high-quality code and experienced problem solvers who can design creative solutions.

+ Knowledge on SQL, JAVA.
+ Database concepts.
+ A familiarity with the Unix/Linux command line will be very helpful.
+ Good troubleshooting skills

Yes. A good working laptop with 10GB space available.

Learning Spear is committed to provide you an awesome learning experience through world-class content and best-in-class instructors. We will create an ecosystem through this training, that will enable you to convert opportunities into job offers by presenting your skills at the time of an interview. We can assist you in resume building and also share important interview questions once you are done with the training. However, please understand that we are not into job placements.

Yes! Over 85% of our students are full-time employees who use their free time to master new skills that they’re passionate about. The HADOOP BIGDATA was built with flexibility in mind. Explore lessons and projects at your convenience, a complete course takes about 25 hours to complete.

No, this program is open to enrolments for any individuals who plan to take the course online.

It always helps to have a sounding board and cheerleader. Learning Spear’s mentors are working professionals and experts in their fields.
Each class works with several great mentors who will:
Help you set goals for the course and make sure you’re on-track to meet them; Meet with you in one-on-one meetings to go over your work and answer any questions you have about the HADOOP BIGDATA.

This course will provide you with technical skills in machine learning, algorithms, and data modelling which will allow you to make accurate predictions about your data. You will be creating your models using Python so you will gain a good grasp of this programming language.

After filling us in on some basic information, we’ll connect you with someone who will discuss the program with you, and get to know a little more about you.

By the end of the course, you will have:

  • Learned about web development from experienced web developers.
  • Prepared yourself with the foundational knowledge you need to begin a career of continuous learning.

You don’t need to be an experienced developer but need to have basic understanding of the concepts to be in this class. You can go through the pre-requisites provided for each individual course.

Our lessons are broken up into micro-lectures, which teach you content in short spurts so that you can immediately break out into groups and practice applying what you’ve learned. We’ve modelled the course’s activities so that you’ll be able to have constant conversations with your fellow classmates, instructors, and TAs throughout the course.

You will need to have your own computer (a Mac is strongly recommended) and an external monitor (ideally 28” or bigger). You’ll also need access to high speed internet (wired ethernet connection is strongly recommended) and a dedicated, quiet workspace where you feel comfortable working, preferably in a private room away from zany roommates, prying family members, Kramer-like friends popping in, etc.

You can Call us at +1 (424)444-9900 (US Toll free ) OR Email us at We shall be glad to assist you.

Drop us a Query