WHEN	TIME	DURATION	PRICE
Self-Pacedv/s Live Course	Whenever you’d like	24+10 Hrs	~~Rs. 9990 \| $182~~ Rs. 4990 \| $91	Enroll Now
25 Jan – 16 Feb	05.00 PM – 08.00 PM IST (Sat-Sun)	24+10 Hrs	~~Rs. 18990 \| $345~~ Rs. 12990 \| $236	Enroll Now
8 Feb – 1 Mar	07.00 AM – 10.00 AM IST (Sat-Sun)	24+10 Hrs	~~Rs. 18990 \| $345~~ Rs. 12990 \| $236	Enroll Now

1. Diving into Scala

What is Scala
Setup and configuration of Scala
Developing and running basic Scala Programs
Scala operations
Functions and procedures in Scala
Different Scala APIs for common operations
Loops and collections- Array, Map, Lists, Tuples
Pattern matching for advanced operations
Eclipse with Scala

2. Object-Oriented and Functional Programming

Introduction to object-oriented programming
Different OOPS concepts
Constructor, getter, setter, singleton, overloading, and overriding
Nested Classes and visibility rules
Functional structures
Functional programming constructs
Call by Name, Call by Value

3. Big Data and the need for Spark

Introduction to Big Data
Challenges to old Big Data solutions
Batch vs Real-time vs in-Memory processing
MapReduce and its limitations
Apache Storm and its limitations
Need for a general purpose solution - Apache Spark

4. Diving deep into Apache Spark

What is Apache Spark?
Components of Spark architecture
Apache Spark design principles
Spark features and characteristics
Apache Spark ecosystem components and their insights

5. Deploying Spark in local mode

Setting up the Spark Environment
Installing and configuring prerequisites
Installing Apache Spark in local mode
Working with Spark in local mode
Troubleshooting encountered problems in Spark

6. Deploying Spark in different modes

Installing Spark in standalone mode
Installing Spark in YARN mode
Installing & configuring Spark on a real multi-node cluster
Playing with Spark in cluster mode
Best practices for Spark deployment

7. Demystifying Apache Spark

Playing with the Spark shell
Executing Scala and Java statements in the shell
Understanding the Spark context and driver
Reading data from the local filesystem
Integrating Spark with HDFS
Caching the data in memory for further use
Distributed persistence
Testing and troubleshooting

9. Basic abstraction RDDs

What is an RDD in Spark
How do RDDs make Spark a feature-rich framework
Transformations in Apache Spark RDDs
Spark RDD action and persistence
Spark Lazy Operations - Transformation and Caching
Fault tolerance in Spark
Loading data and creating RDD in Spark
Persist RDD in memory or disk
Pair operations and key-value in Spark
Spark integration with Hadoop
Apache Spark practicals and workshops

10. Spark Streaming

The need for stream analytics
Comparison with Storm and S4
Real-time data processing using Spark streaming
Fault tolerance and check-pointing
Stateful stream processing
DStream and window operations
Spark Stream execution flow
Connection to various source systems
Performance optimizations in Spark

11. Spark SQL

What is Spark SQL
Apache Spark SQL features and data flow
Spark SQL architecture and components
Hive and Spark SQL together
Play with Data-frames and data states
Data loading techniques in Spark
Hive queries through Spark
Various Spark SQL DDL and DML operations
Performance tuning in Spark

12. Spark MLlib and Spark GraphX

Why Machine Learning is needed
What is Spark Machine Learning
Various Spark ML libraries
Algorithms for clustering, statistical analytics, classification etc.
What is GraphX
The need for different graph processing engines
Graph handling using Apache Spark

13. Real Life Spark Project

Live Apache Spark project based on real industry scenarios. Work on real life use-case and handle the real-world problem with live datasets.

I felt insecure and anxious as I was wasting my efforts in such technologies as Linux and SQL which had no growth. After researching a bit, I decided to switch to Big Data. I chose Big Data because it is the growing technology and will stay in demand for a long time. So, it could open new doors for me.

DataFlair was my secret key to crack my first Big Data interview in one go. The full credit for my success goes to the instructor who helped me in every manner possible. For cracking the interview, I attended the mock interview sessions; they really helped me with my confidence. Alongside, I watched the videos provided by DataFlair; those helped me remember everything accurately. Then, I pulled up Quora and DataFlair to read about some interview experiences. These informed me about common mistakes, and I easily cracked the interview.

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I got placed, scored 100% hike, and transformed my career with DataFlair

Sonal Saxena
Big Data Engineer, Luxoft
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With the world becoming data driven, I felt the need to suit my Java career to the current market demands. I was working on the technologies which were decades older and had very slow career growth. I wanted a change, and so I looked up Big Data and its future scope, salary, career growth, and the career path.

DataFlair's Big Data Hadoop and Spark developer course sounded exciting, so I decided to give it a try. I wasn't quite sure about it since I've had bad experiences when shopping for online services, but this one changed my mind. Not only did they explain in the best way, they used practical examples to explain everything. The live projects were like a gift; they taught me everything from confidence to skills. After the course, they offered me a mock interview session, which was brilliant in itself. I credit all my success to DataFlair.

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DataFlair revived my career with Big Data

Prashant Pandey
Big Data Engineer, Datametica
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I had a well-paying job with SQL and PL/SQL, and a good work-life balance. But it felt as though it wasn't enough. This is where Big Data came in. I recognized the gradual shift toward it since regular RDBMS was no longer good enough to handle such massive amounts of structured and unstructured data we generate today. Next, I needed guidance. I searched online for a MOOC and ended up at the DataFlair landing page. I was sceptical at first, but then the doubts gave way as I read what their students had to say about them.

The instructor seemed to be an expert in Big Data, Hadoop, and Spark, and the course material was exceptional. I loved the live projects and all the assessments. Finally, the mock interview session gave me a taste of what the real interview would be like. Eternally grateful to DataFlair.

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From SQL to Big Data

Anish Nair
Big Data Engineer, AxionConnect Infosolutions
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I always wanted to be a developer, although I began work as a technical consultant at Promantia Solutions. I worked on Java, SQL, and PL/SQL. I was being promoted and settling in my career, but that wasn't quite satisfying. Somebody happened to tell me about Big Data, but I wasn't sure I could do it. However, after the first session from DataFlair, my nervousness began to leave, and confidence began to set in. I wanted to really pursue it.

The instructor was efficient and accurate in his lessons. And because of the mock interview they held, I was confident and excited. I cracked the interview in one go and I remember that is because I learned so much from the live projects I got to work on. Today, I work at JDA and have received an 80% hike in my salary. Thank you, DataFlair.

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Mid-career shift from Java to Big Data

Rahul Doddamani Success Story - DataFlair

Rahul Doddamani
Technical Consultant, JDA
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Working as an HR executive, my manager told me to hire a Big data developer. This had me thinking. So, I Googled, and to my amusement, I felt some kind of a calling. I found out that Big Data was the latest technology and most people and companies were moving forward in it. I liked my job and was uninterested in coding, but I was curious about Big Data. I learned about it the entire night.

I was nervous enrolling for the Big Data Hadoop and Spark Certification course by DataFlair; I had no technical exposure and didn't know basic terminologies. But the Instructor always helped and answered all my questions. The experience was awesome. The first day, he gave us small assessments and ranked students accordingly. The instructor also helped each student so well, it cleared the fundamentals of Big Data & Hadoop in their minds. DataFlair was there for me up until I found myself a job in Big Data.

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From HR to Big Data, DataFlair changed my career

Satendra Singh Success Story - DataFlair

Satendra Singh
Big Data Developer
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Features	Self-Paced Pro Course ~~Rs. 9990 \| $182~~ Rs. 4990 \| $91	Live Instructor-Led Course ~~Rs. 18990 \| $345~~ Rs. 12990 \| $236
Course mode	Video Based	Live Online with Trainer
Course Objective	Express Learning	Job readiness
Extensive hands-on practicals	In recordings & in LMS	Live with instructor & in LMS
No. of Projects	One	Five
Doubt Clearance	Through discussion forum	In regular sessions
Complementary Courses	Java	Java
Lifetime Access	✓	✓
Discussion Forum Access	✓	✓
Certification	✓	✓
100% Interactive Live Classes	✗	✓
Support for real-life project	✗	✓
Complementary Job Assistance	✗	✓
Resume & Interview Preparation	✗	✓
Personalized career guidance from instructor	✗	✓
	Enroll Now Rs. 4990 \| $91	Enroll Now Rs. 12990 \| $236

How will you help me if I miss any Spark training session?

If you miss any session, you need not worry as recordings will be uploaded in LMS immediately as the session gets over. You can go through it and get your queries cleared from the instructor during the next Spark session. You can also ask him to explain the concepts that you did not understand and were covered in session you missed. Alternatively, you can attend the missed online Spark training session in any other batch running parallely.

How will I perform the Spark practicals at home?

To perform these Spark and Scala practicals, the instructor will help you in setting up a virtual lab on your own system. The manual to set up this virtual lab will be available in your LMS if you want to go through the steps again. The virtual lab can be set up on MAC or Windows machines also.

How long will the online Spark course recording be available?

All the sessions will be recorded and you will have lifetime access to the Spark and Scala training course recordings along with the complete study material, POCs, Spark project etc.

What things do I need to attend the online Spark classes?

To attend online Spark training, you just need a laptop or PC with a good internet connection of around 1 MBPS (But the lesser speed of 512 KBPS will also work). The broadband connection is recommended but you can connect through data card as well.

How do I clear my doubts after a class?

If you have any doubts during Apache Spark sessions, you can clear it with the instructor immediately. If you get queries after the session, you can get it cleared from the instructor in the next session as before starting any session, instructor spends around 15 minutes in doubt clearing. Post training, you can post your query over discussion forum and our support team will assist you. Still if you are not comfortable, you can drop mail to instructor or directly interact with him.

When will I get access to the Learning Management System?

Immediately with your enrolment for the Spark and Scala course, you will gain access to LMS and it will be there for lifetime. Complimentary courses will also be added then, so you can start learning immediately.

How will this Spark Scala training help me in getting a job?

Our online Spark training includes in-depth theoretical knowledge, multiple workshops, POCs, project etc. that will prepare you to the level that you can start working from day 1 wherever you go. You will be assisted in resume preparation and mock interview that will help you in getting ready to face interviews. We will also guide you with Spark job openings matching your resume. All this will help you in landing your dream job in Big Data industry requiring Spark skills.

What will be the end result of doing this Spark course?

You will be equipped with theoretical and practical skills that industry is looking for and will become certified Apache Spark and Scala professional who is ready to take Big Data with Spark Projects in top organisations.

How will I be able to interact with the instructor during the training?

You can interact to the instructor via voice or chat during live training.

Is this Spark classroom training or online?

This is completely Spark online training with 10-12 students per batch. Individual interaction will be there with all. The trainer ensures that every student is clear of all the concepts taught before proceeding ahead. So there will be complete environment of Spark classroom learning.

Can I enroll now and join the classes in a later batch?

Yes, you can enroll for the Spark Scala course at any time and join any batch starting thereafter.

Is Hadoop mandatory to learn Apache Spark?

Hadoop is not at all mandatory to learn Spark. We will provide basic knowledge on both Hadoop and Java if you want to brush your skills.

Can you guide me why I should learn Apache Spark?

Apache Spark is one of the fastest growing community in IT world. Spark developers earn highest average package as compared to other technologies. Big data with Apache Spark combination is the most demanding in industry.

What are the payment options?

You can do the payment via credit card, debit card or net banking through any of the banks. You can use our payment gateway Payu for payment in INR. For payments in USD, you can do via Paypal. We also have part payment option.

Certified Apache Spark and Scala Training Course

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Upcoming Batches for Spark training

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What to do before you begin your Spark online training?

Spark and Scala Course Curriculum

Awesome Apache Spark projects you’ll get to build in this Spark course

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