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Big Data with Spark Training Online Course (With Lab Access)

Learn Spark, Spark RDD, Spark Streaming, Kafka, SparkR, SparkSQL, MLlib, and GraphX From Industry Experts

3,506 Ratings       9,025 learners

  30+ hours training

  90 days of Lab

  24x7 Support

Projects

  Compatible with Hortonworks, Cloudera Certifications


About the Course

As humans, we are immersed in data in our every-day lives. As per IBM, the data doubles every two years on this planet. The value that data holds can only be understood when we can start to identify patterns and trends in the data. Normal computing principles do not work when data becomes huge.

There is massive growth in the big data space, and job opportunities are skyrocketing, making this the perfect time to launch your career in this space.

In this course, you will learn Spark to drive better business decisions and solve real-world problems.



1 course

Learn from industry experts. Follow the suggested order or choose your own.

Projects & Lab

Apply the skills you learn on a distributed cluster to solve real-world problems.

Certificate

Highlight your new skills on your resume or LinkedIn.

Best-in-class Support

24×7 support and forum access to answer all your queries throughout your learning journey.

Certifications

Compatible to Hortonworks Certified Developer (HDPCD): Spark
Enrollment
SELF-PACED LEARNING
Start Immediately

90 days lab

Learning Path
Download Course Syllabus

Course

About the Course


This course is a part of the Specialization Course in Big Data with Hadoop and Spark

What is Big Data?

Why Now?

Big Data Use Cases

Various Solutions

Spark Ecosystem Walkthrough

Quiz

Understanding the CloudxLab

CloudxLab Hands-On

Spark Hands-on

Quiz and Assessment

Basics of Linux - Quick Hands-On

Understanding Regular Expressions

Quiz and Assessment

Setting up VM (optional)

As part of this session we will do a recap of the sessions on Hadoop Distributed File System(HDFS) and Yet Another Resource Negotiator (YARN).

This is needed because most of the spark applications use data from HDFS and in most of deployments, spark applications are run on YARN clusters.

Introduction to Scala?

Accessing Scala using CloudxLab

Getting Started: Interactive, Compilation, SBT

Types, Variables & Values

Functions

Collections

Classes

Parameters

More Features

Quiz and Assessment

What is Apache Spark?

Why Spark?

Using the Spark Shell and various ways of running spark on CloudxLab

Example 1 - Performing Word Count

Understanding Spark Cluster Modes on YARN

RDDs (Resilient Distributed Datasets)

General RDD Operations: Transformations & Actions

RDD lineage

RDD Persistence Overview

Distributed Persistence

Learn operations on Key-Value Based RDD

Solving various problems using RDD

Creating the SparkContext

Building a Spark Application (Scala, Java, Python)

The Spark Application Web UI

Configuring Spark Properties

Running Spark on Cluster

RDD Partitions

Executing Parallel Operations

Stages and Tasks

Project: Churning the logs of NASA Kennedy Space Center WWW server

Using Accumulators & Creating Custom Accumulators

Using Broadcast variables

We will learn key performance considerations:

  1. Level of Parallelism
  2. Serialization Format
  3. Memory Management
  4. Hardware Provisioning

Understanding Caching & Persistence

We will Data Partitioning/Re-partitioning techniques.

A project to consider the above optimization techniques.

We will how to create custom partitioner.

Understand the Spark Runtime Architecture and various components such as Driver, Executor, Cluster Manager etc.

Learn what goes inside when we launch an spark application.

We will learn the two modes of Spark: Local and Cluster.

How to launch a program on YARN, AWS Cluster etc.

How to setup spark in standalone mode.

Understand and demonstrate on how to run drive in various modes.

Learn how to package the dependencies of your code.

Understand how to use the Spark-Submit and various command line options.

Common Spark Use Cases

Example 1 - Data Cleaning (Movielens)

Example 2 - Understanding Spark Streaming

Understanding Kafka

Example 3 - Spark Streaming from Kafka

Iterative Algorithms in Spark

Project: Real-time analytics of orders in an e-commerce company

Spark SQL and the SQL Context

Creating DataFrames

Transforming and Querying DataFrames

Saving DataFrames

Solving problems with DataFrames and RDDs

Comparing Spark SQL, Impala, and Hive-on-Spark

Understanding and loading various Input formats: JSON, XML, AVRO, SequenceFile?, Parquet, Protocol Buffers.

Comparing Compressions

Understanding Row Oriented and Column Oriented Formats - RCFile?

Understanding Machine Learning

MlLib Example: Recommendations on movie lense data

Understanding various Packages of MLlib

SparkR Example.

Basics of Graph Processing: Covers the understanding of what does it mean by graph processing in real life with examples. What are other frameworks providing graph computing?

GraphX Overview: What is GraphX? Understanding the functionalities and algorithms provided by GraphX. And how does GraphX work. Along with comparision with other similar products.

Implementing Page rank using GraphX: We will learn the basics of PageRank - the algorithm that made Google. The we learn how to implement using GraphX.

Projects

Projects

1. Generate movie recommendations using Spark MLlib


2. Derive the importance of various handles at Twitter using Spark GraphX


3. Churn the logs of NASA Kennedy Space Center WWW server using Spark to find out useful business and devops metrics


4. Write end-to-end Spark application starting from writing code on your local machine to deploying to the cluster


5. Build real-time analytics dashboard for an e-commerce company using Apache Spark, Kafka, Spark Streaming, Node.js, Socket.IO and Highcharts

Certificate

Certificate

Earn your certificate

Our Specialization is exhaustive and the certificate rewarded by us is proof that you have taken a big leap in Big Data domain.


Differentiate yourself

The knowledge you have gained from working on projects, videos, quizzes, hands-on assessments and case studies gives you a competitive edge.


Share your achievement

Highlight your new skills on your resume, LinkedIn, Facebook and Twitter. Tell your friends and colleagues about it.

 Course Certificate Sample
Course Creators
Sandeep Giri

Sandeep Giri

Founder at CloudxLab
Past: Amazon, InMobi, D.E.Shaw
Course Developer
Abhinav Singh

Abhinav Singh

Co-Founder at CloudxLab
Past: Byjus
Course Developer
 Jatin Shah

Jatin Shah

Ex-LinkedIn, Yahoo, Yale CS Ph.D.
IIT-B
Course Advisor

Reviews

(4.9 out of 5)
...

I have started learning 3 months ago and I really gained much info and practical experience. I completed the “Big Data with Spark” course and the learning journey really exceeded my expectations.

The course structure and topics were great, well organized and comprehensive, even the basics of Linux were covered in a very simple way. There were always exercises and hands-on that build better understanding, also the lab environment and provided online tools were great help and let you practice everything without having to install anything on your PC except the web browser.

In addition, for the live sessions, it was really a joy attending them each weekend, our instructor “Sandeep Giri”, besides his great experience and knowledge, he was generous, helpful and patient answering all attendees questions in such a way that he could go for more examples and hands-on or even searching the documentation and try new things, I gained much from other attendees’ questions and the way Sandeep responded to them.

This was a great experience having this course and I’m going for more courses in Big Data and Machine Learning with CloudxLab and I recommend it for all my friends and colleagues who look for better learning.

...

Must have for practicing and perfecting hadoop. To setup in PC you need to have a very high end configuration and setup will be pseudo node setup.. For better understanding I recomend CloudxLab

...

This course is suitable for everyone. Me being a product manager had not done hands-on coding since quite some time. Python was completely new to me. However, Sandeep Giri gave us a crash course to Python and then introduced us to Machine Learning. Also, the CloudxLab’s environment was very useful to just log in and start practising coding and playing with things learnt. A good mix of theory and practical exercises and specifically the sequence of starting straight away with a project and then going deeper was a very good way of teaching. I would recommend this course to all.

...

They are great. They take care of all the Big Data technologies (Hadoop, Spark, Hive, etc.) so you do not have to worry about installing and running them correclty on your pc. Plus, they have a fantastic customer support. Even when I have had problems debugging my own programs, they have answered me with the correct solution in a few hours, and all of this for a more than reasonable price. I personally recommend it to everyone :)

...

Machine learning courses in especially the Artificial Intelligence for the manager course is excellent in CloudxLab. I have attended some of the course and able to understand as Sandeep Giri sir has taught AI course from scratch and related to our data to day life…

He even takes free sessions to helps students and provides career guidance.

His courses are worthy and even just by watching YouTube video anyone can easily crack the AI interview.

FAQ

In Self-paced learning, you will get,

  1. Lifetime access to the self-paced course including videos, assessments, quizzes, and projects
  2. Recordings of the previous batch of instructor-led training
  3. 24x7 support using the discussion forum

This course is for engineers, product managers and anyone who has a basic know-how of any programming language. We will cover foundations of linear algebra, calculus and statistical inference where ever required so that you can learn the concepts effectively.

You can check https://youtu.be/dXCx4anEcgU for watching the Course Preview.

Course requires a good internet (1 Mbps or more) and a browser to watch videos and do hands-on the lab. We've configured all the tools in the lab so that you can focus on learning and practicing in a real-world cluster.

For self-paced course, we provide 100% fees refund if the request is raised within 7 days from enrollment date. Thereafter, no refund is provided.

For instructor-led course, we provide 100% refund if not more than 1 live session has been conducted -- and we provide 50% refund if 2-4 live sessions have been conducted. If 5 or more live sessions have been conducted, then no refund will be provided.
Yes, you can renew your subscription anytime. Please choose your desired plan for the lab and make payment to renew your subscription.
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Have more questions? Please contact us at reachus@cloudxlab.com