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Select Currency The course page of Big Data with Hadoop & Spark has moved to CloudxLab.com

Big Data with Hadoop & Spark Course Watch First Session

Online Instructor Led Classes
Full Access To CloudxLab™ - 90x24 Hrs
Training By Industry Experts
Real Time Project
Earn Certificate In Big Data with Hadoop & Apache Spark
Scala Basics
Compatible with: CCP Data Engineer, CCA Spark and Hadoop Developer, HDP Certified Developer, HDP Certified Developer: Spark Certificates

+1 (412) 568-3901 (US)
+91 (80) 492-022-24 (IN)
Course Query


As data has grown, so has the rate at which it is processed, along with the complex demands made of it. Traditional tools are no longer able to handle this magnitude of storing and processing data - a single computer does not suffice due to IO, CPU & RAM limitations. This is when the new generation tools that run on multiple computers are required.

This is a very hands on course and will take you from the very basics to an advanced level in Big Data Analysis and Streaming processing using Apache Spark. Apache spark is probably the fastest and most efficient amongst all distributed computing tools. We will start with the basics of Big Data, understand the architecture of Apache Spark and solve problems using python on Spark. We will cover Spark SQL and basics of Machine Learning and solve few classic problems using MLLib. Or in other words, we will do the stream processing using Spark.

At the end of this course, you will be able to handle all three kinds of processing of Big Data:

Why learn Big Data with Hadoop Apache Spark?

Almost every organisation has humongous data that has to be analysed for business growth/increase sales or to improve customer service. So Data Analysis is the hot trend in every industry.

The other way to measure the demand for Data Analysts is to look at the number of jobs being posted around the world on these technologies.

What makes Big Data with Hadoop & Apache Spark course unique?

What are the prerequisites to join Big Data with Hadoop Apache Spark course?

In addition, the attendee should have the following hardware infrastructure:

What kind of project / real time experience?

A few examples of projects are as follows:

Feedback from our alumni Savita Singh

Director Engineering, Target Technology Services Senior systems analyst

Quora Profile
Ratings: (5.0/5.0)

Review: I took 'Big Data and Hadoop' course on KnowBigData.com.It covers all concepts (HDFS,Map Reduce,Pig,Hive,Hbase,Spark,Flume,Sqoop etc.) We are given a cluster to work. So clustering concepts are also covered. Types of serialisation available are also covered in decent depth. The instructor sandeep has lot of knowledge and practical experience. The classes are very cool and u will never feel bored at all. Highly interactive and learning is a fun. Not even one question has gone unanswered. Teaching style is really good. Good to learn from him. I highly recommend www.knowbigdata.com if you plan to step into the world of Big Data. Wish you all the best for your endavours. Alan Shaw


Review: This course was just what I was looking for, a way to deepen my knowledge on big data in general and Hadoop in particular. There were a lot of topics covered, and although I also tried to read along in Hadoop: The Definitive Guide, I found that the course often went even deeper into the details than the book. Also, the trainer was very patient and conscientious to answer everyone’s questions so that we were able to relate what we were learning to our immediate needs. Perhaps the best feature of the training was the access to an online lab environment where everything discussed could be tried hands-on, and not just for the assignments. Overall I recommend this course. Ranjit Sahu

Associate Manager Technology at Thomson Reuters

Review: Just completed the course "Big data & Hadoop" from KnowBigData. This is one of the best online course i have ever had. The instructor is amazing and his knowledge on the subject is excellent. The best about the course is, it is not one of those text-book course full of theories rather it is based on practical problems and how we can implement big data concepts to fix those. Dr. Makhan Virdi

Researcher, NASA - DAAC
 Parveen Kumar

VP - Engineering at CommonFloor

See More Reviews at FaceBook Page.

Big Data with Hadoop & Apache Spark Introduction Video

Big Data with Hadoop & Apache Spark Course Curriculum

1.Introduction to Big Data & Hadoop

2. HDFS and YARN Architecture

3. Analysing Data with Map Reduce & PIG Latin

4. Importing Data with Apache Sqoop

5. Modeling and Managing Data with Impala and Hive

6. Understanding NoSQL & HBase

7. Data Formats & Data File Partitioning

8. Capturing Data with Apache Flume

9. Spark & Scala Basics

10. Working with RDDs in Spark

11. Writing and Deploying Spark Applications

12. Spark RDD Persistence

13. Common Patterns in Spark Data Processing

14. Creating Workflow Using Oozie

15. DataFrames and Spark SQL

16. Conclusion & Projects Discussion

What Certificate do we provide?

1. Hard Copy

We send a hard copy of the certificate to your address. 2. Digitally Signed Copy

3. Share Your Success 4. LinkedIn Recommendation & Endorsements 5. Verifiable Certificate
 Sandeep Giri

Founder & Chief Instructor

Past Amazon.com, InMobi.com, Founder @ tBits Global, D.E.Shaw

Education Indian Institute of Technology, Roorkee


Big Data with Apache Spark - Frequently Asked Questions

Yes. Java is not required for understanding this course. We will be covering Scala for programming in Spark. So, if you qualify the following three criteria, :

Q. Is there a classroom?

No. We stopped classroom trainings a while back when we realized that our students attending the online instructor led classes are performing better in the assignments than students in our offline classrooms. Moreover, students ask more questions in online sessions in comparison to the classroom sessions.

Also, it is very difficult to get a real training locally in any city. So, it is better to have really good training than having the classroom sessions.

To check if the online session would work for you, please attend our demo sessions. I can assure you that you would like the instructor led online trainings.

There are two ways to do practicals.

Q: When are the classes held and How many hours effort would I need to put in every week?

Our classes are held every weekend on Saturdays and Sundays either in the mornings or in the evenings. So, there are two classes for 3 hours each; one on saturday and one on sunday.

In addition to the 6 hours of weekend classes, you will have to devote around 4-6 hours every week to complete assignments.

Q: What if I am not able to attend a particular class?

If you are not able to attend a particular class, you can watch the recordings of that class. Otherwise, you can attend the same class in another running batch.

Q: What if I have abandon the course? Can I continue in future?

Sometimes, due to various reasons, people find it difficult to continue a course. In case that happens, you can continue in another session in the future, or you can request your refund. Here are the guidelines for requesting the refund.

Q: Is the course material available after the class is over?

Yes, the course material is available to our students for life. You will have access to the content in LMS for ever.

Q: I have around 8 years of experience in software development. What are the career prospects in Big Data with Apache Spark?

Big Data with Apache Spark is one of the hottest career options available today for software engineers. There are around thousands of jobs currently in U.S. alone for Data Analysts and the demand for Data Analysts is far more than the availability. Learn more about career prospects in Data Analysis at naukri.com and indeed.com.

Q: What all softwares do the clusters have?