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Apache Spark and Scala Certification Training in Dubai

Intellipaat Spark training in Dubai is a comprehensive course in a real-time analytical engine that includes the components of Spark Core, SQL, RDD and Machine Learning libraries (MLlib), along with the Scala programming language. In this training program, you will get to work on industry-chosen projects in Spark that give you hands-on experience. Get the best Spark and Scala course in Dubai by the top Apache Spark Experts.

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Key Features

24 Hrs Instructor-led Training
22 Hrs Self-paced Videos
60 Hrs Project Work & Exercises
Flexible Schedule
24 x 7 Lifetime Support & Access
Certification and Job Assistance

Course Benefits

4.8/5 Student Satisfaction Rating
Students Transitioned for Higher Positions
Started a New Career After Completing Our Courses
Got Better Salary Hike and Promotion
Average Salary Per Year $200
$ Starting
$ Median
$ Experienced
And 1,000+ Global Companies

Spark and Scala Training in Dubai Overview

Intellipaat is one of the renowned online training providers who are offering the most competitive and industry-recognized Apache Spark and Scala course in Dubai. After completing this online Spark certification course, learners will be having an in-depth knowledge about Spark’s parallel processing and how Scala is used to write applications in Spark.

What will you learn in this Apache Spark Training in Dubai?

In Intellipaat’s Apache Spark course, you will learn about:

  1. Basic concepts of Spark and Scala
  2. Difference between Spark and Hadoop
  3. Writing applications on Spark using Java, Python and Scala
  4. Spark RDDs and Dataframes
  5. Scala-Java Interoperability
  6. Developing codes in Scala
  7. Data aggregation and performance improvement in Spark

Apache Spark training in Dubai can be taken by:

  • Software Engineers looking to upgrade Big Data skills
  • Data Engineers and ETL Developers
  • Data Scientists and Analytics Professionals
  • Graduates looking to make a career in Big Data

There are no prerequisites for learning Spark online. Basic knowledge of database, SQL and query language can help.

The cost of the Spark Certification Exam in Bangalore is $295 USD and the duration of the CCA Spark and Hadoop Developer Exam (CCA175) is 120 minutes.

Dubai has emerged as the commercial superpower lately. Due to its lucrative market, the top-notch companies from across the globe have called this city their home. This city has seen tremendous growth in terms of technology due to the application of Big Data technologies. Therefore, the demand for Spark and Scala are constantly rising in this city creating innumerable jobs for aspirants.

With the massive growth in the adoption of research and development, Dubai-based companies have realized the importance of Big Data Analytics and hence are increasingly deploying Spark and Scala together to achieve the maximum benefits. Hence, for those candidates who see themselves as Big Data professionals, learning Spark and Scala will take their career to a whole new level.

Spark and Scala online training course seeks to give an in-depth knowledge to the learners through lab sessions, project works and assignments. This training is aligned with the Spark topics present in Cloudera Spark and Hadoop Developer Certification (CCA175) exam. Hence, enrolling to this course will help you score high in this exam.

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Fees

Self Paced Training

  • 22 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access
$165

Online Classroom preferred

  • Everything in self-paced, plus
  • 24 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 26 Sep
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 29 Sep
  • TUE - FRI
  • 07:00 AM TO 09:00 AM IST (GMT +5:30)
$264 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise-grade Learning Management System (LMS)
  • 24x7 Support
  • Strong Reporting

Spark and Scala Course Content in Dubai

Scala Course Content

Module 01 - Introduction to Scala Preview

1.1 Introducing Scala
1.2 Deployment of Scala for Big Data applications and Apache Spark analytics
1.3 Scala REPL, lazy values, and control structures in Scala
1.4 Directed Acyclic Graph (DAG)
1.5 First Spark application using SBT/Eclipse
1.6 Spark Web UI
1.7 Spark in the Hadoop ecosystem.

Module 02 - Pattern Matching

2.1 The importance of Scala
2.2 The concept of REPL (Read Evaluate Print Loop)
2.3 Deep dive into Scala pattern matching
2.4 Type interface, higher-order function, currying, traits, application space and Scala for data analysis

3.1 Learning about the Scala Interpreter
3.2 Static object timer in Scala and testing string equality in Scala
3.3 Implicit classes in Scala
3.4 The concept of currying in Scala
3.5 Various classes in Scala

4.1 Learning about the Classes concept
4.2 Understanding the constructor overloading
4.3 Various abstract classes
4.4 The hierarchy types in Scala
4.5 The concept of object equality
4.6 The val and var methods in Scala

5.1 Understanding sealed traits, wild, constructor, tuple, variable pattern, and constant pattern

6.1 Understanding traits in Scala
6.2 The advantages of traits
6.3 Linearization of traits
6.4 The Java equivalent
6.5 Avoiding of boilerplate code

7.1 Implementation of traits in Scala and Java
7.2 Handling of multiple traits extending

8.1 Introduction to Scala collections
8.2 Classification of collections
8.3 The difference between iterator and iterable in Scala
8.4 Example of list sequence in Scala

9.1 The two types of collections in Scala
9.2 Mutable and immutable collections
9.3 Understanding lists and arrays in Scala
9.4 The list buffer and array buffer
9.6 Queue in Scala
9.7 Double-ended queue Deque, Stacks, Sets, Maps, and Tuples in Scala

10.1 Introduction to Scala packages and imports
10.2 The selective imports
10.3 The Scala test classes
10.4 Introduction to JUnit test class
10.5 JUnit interface via JUnit 3 suite for Scala test
10.6 Packaging of Scala applications in the directory structure
10.7 Examples of Spark Split and Spark Scala

Spark Course Content

11.1 Introduction to Spark
11.2 Spark overcomes the drawbacks of working on MapReduce
11.3 Understanding in-memory MapReduce
11.4 Interactive operations on MapReduce
11.5 Spark stack, fine vs. coarse-grained update, Spark stack, Spark Hadoop YARN, HDFS Revision, and YARN Revision
11.6 The overview of Spark and how it is better than Hadoop
11.7 Deploying Spark without Hadoop
11.8 Spark history server and Cloudera distribution

12.1 Spark installation guide
12.2 Spark configuration
12.3 Memory management
12.4 Executor memory vs. driver memory
12.5 Working with Spark Shell
12.6 The concept of resilient distributed datasets (RDD)
12.7 Learning to do functional programming in Spark
12.8 The architecture of Spark

13.1 Spark RDD
13.2 Creating RDDs
13.3 RDD partitioning
13.4 Operations and transformation in RDD
13.5 Deep dive into Spark RDDs
13.6 The RDD general operations
13.7 Read-only partitioned collection of records
13.8 Using the concept of RDD for faster and efficient data processing
13.9 RDD action for the collect, count, collects map, save-as-text-files, and pair RDD functions

14.1 Understanding the concept of key-value pair in RDDs
14.2 Learning how Spark makes MapReduce operations faster
14.3 Various operations of RDD
14.4 MapReduce interactive operations
14.5 Fine and coarse-grained update
14.6 Spark stack

15.1 Comparing the Spark applications with Spark Shell
15.2 Creating a Spark application using Scala or Java
15.3 Deploying a Spark application
15.4 Scala built application
15.5 Creation of the mutable list, set and set operations, list, tuple, and concatenating list
15.6 Creating an application using SBT
15.7 Deploying an application using Maven
15.8 The web user interface of Spark application
15.9 A real-world example of Spark
15.10 Configuring of Spark

16.1 Learning about Spark parallel processing
16.2 Deploying on a cluster
16.3 Introduction to Spark partitions
16.4 File-based partitioning of RDDs
16.5 Understanding of HDFS and data locality
16.6 Mastering the technique of parallel operations
16.7 Comparing repartition and coalesce
16.8 RDD actions

17.1 The execution flow in Spark
17.2 Understanding the RDD persistence overview
17.3 Spark execution flow, and Spark terminology
17.4 Distribution shared memory vs. RDD
17.5 RDD limitations
17.6 Spark shell arguments
17.7 Distributed persistence
17.8 RDD lineage
17.9 Key-value pair for sorting implicit conversions like CountByKey, ReduceByKey, SortByKey, and AggregateByKey

18.1 Introduction to Machine Learning
18.2 Types of Machine Learning
18.3 Introduction to MLlib
18.4 Various ML algorithms supported by MLlib
18.5 Linear regression, logistic regression, decision tree, random forest, and K-means clustering techniques

Hands-on Exercise: 
1. Building a Recommendation Engine

19.1 Why Kafka and what is Kafka?
19.2 Kafka architecture
19.3 Kafka workflow
19.4 Configuring Kafka cluster
19.5 Operations
19.6 Kafka monitoring tools
19.7 Integrating Apache Flume and Apache Kafka

Hands-on Exercise: 
1. Configuring Single Node Single Broker Cluster
2. Configuring Single Node Multi Broker Cluster
3. Producing and consuming messages
4. Integrating Apache Flume and Apache Kafka

20.1 Introduction to Spark Streaming
20.2 Features of Spark Streaming
20.3 Spark Streaming workflow
20.4 Initializing StreamingContext, discretized Streams (DStreams), input DStreams and Receivers
20.5 Transformations on DStreams, output operations on DStreams, windowed operators and why it is useful
20.6 Important windowed operators and stateful operators

Hands-on Exercise: 
1. Twitter Sentiment analysis
2. Streaming using Netcat server
3. Kafka–Spark streaming
4. Spark–Flume streaming

21.1 Introduction to various variables in Spark like shared variables and broadcast variables
21.2 Learning about accumulators
21.3 The common performance issues
21.4 Troubleshooting the performance problems

22.1 Learning about Spark SQL
22.2 The context of SQL in Spark for providing structured data processing
22.3 JSON support in Spark SQL
22.4 Working with XML data
22.5 Parquet files
22.6 Creating Hive context
22.7 Writing data frame to Hive
22.8 Reading JDBC files
22.9 Understanding the data frames in Spark
22.10 Creating Data Frames
22.11 Manual inferring of schema
22.12 Working with CSV files
22.13 Reading JDBC tables
22.14 Data frame to JDBC
22.15 User-defined functions in Spark SQL
22.16 Shared variables and accumulators
22.17 Learning to query and transform data in data frames
22.18 Data frame provides the benefit of both Spark RDD and Spark SQL
22.19 Deploying Hive on Spark as the execution engine

23.1 Learning about the scheduling and partitioning in Spark
23.2 Hash partition
23.3 Range partition
23.4 Scheduling within and around applications
23.5 Static partitioning, dynamic sharing, and fair scheduling
23.6 Map partition with index, the Zip, and GroupByKey
23.7 Spark master high availability, standby masters with ZooKeeper, single-node recovery with the local file system and high order functions

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24
Hours of Instructor-led Training
22
Hours of Self-paced Videos
7
Guided Projects to Practice
24/7
Lifetime Technical Support

Free Career Counselling

Spark and Scala Projects

What projects I will be working on this Spark–Scala training?

Project 01: Movie Recommendation

Topics: This is a project wherein you will gain hands-on experience in deploying Apache Spark for the movie recommendation. You will be introduced to the Spark Machine Learning Library, a guide to MLlib algorithms and coding which is a Machine Learning library. You will understand how to deploy collaborative filtering, clustering, regression and dimensionality reduction in MLlib. Upon the completion of the project, you will gain experience in working with streaming data, sampling, testing and statistics.

Project 02: Twitter API Integration for Tweet Analysis

Topics: With this project, you will learn to integrate Twitter API for analyzing tweets. You will write codes on the server side using any of the scripting languages, like PHP, Ruby or Python, for requesting the Twitter API and get the results in JSON format. You will then read the results and perform various operations like aggregation, filtering and parsing as per the need to come up with tweet analysis.

Project 03: Data Exploration Using Spark SQL – Wikipedia Dataset

Topics: This project lets you work with Spark SQL. You will gain experience in working with Spark SQL for combining it with ETL applications, real-time analysis of data, performing batch analysis, deploying Machine Learning, creating visualizations and processing of graphs.

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Apache Spark Certification in Dubai

This course is designed for clearing the Apache Spark component of the Cloudera Spark and Hadoop Developer Certification (CCA175) exam. Check our Hadoop training course for gaining proficiency in the Hadoop component of the CCA175 exam. The complete course is created by industry experts for professionals to get top jobs in the best organizations. The entire training includes real-world projects and case studies that are highly valuable.

Upon the completion of the training, you will have quizzes that will help you prepare for the CCA175 certification exam and score top marks.

The Intellipaat certification is awarded upon successfully completing the project work and after its review by experts. The Intellipaat certification is recognized in some of the biggest companies like Cisco, Cognizant, Mu Sigma, TCS, Genpact, Hexaware, Sony and Ericsson, among others.

Apache Spark and Scala Certification Training Reviews in Dubai

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Atyant Jain

Senior Solutions Architect at Adidas

Arguably, the best Spark training in Dubai from Intellipaat ticked all the right boxes for me. The best thing which I liked about the Apache Spark certification training was the opportunity to work on real-world projects that helped me get hands-on experience in one of the fastest Big Data processing engines. Thank you Intellipaat.

Atyant Jain

Senior Solutions Architect at Adidas

Spark training at Intellipaat ticked all the right boxes. The best thing I liked about the Apache Spark certification training was the opportunity to work on real-world projects that helped me get hands-on experience in one of the fastest Big Data processing engines. Thank you Intellipaat.

Anthony Crenshaw

Master Radio Electronic Communication Officer

I am glad that I took the Intellipaat Spark training online. The trainers offered quality training with real-world examples, and there was extensive interactivity throughout the training that made the Intellipaat training the best according to me.

Suman Gajavelly

CTO | bitsIO - Splunk Experts

I firmly believe that Intellipaat is the perfect place to embark on a great professional career in the technology space. Their Apache Spark online course was praiseworthy.

Tareg Alnaeem

Database Administrator at University of Bergen

I have had a great experience with Intellipaat learning about the newest technologies. The Apache Spark and Scala Certification Training has excellent course material, free tutorial content and videos for learners with detailed explanation and easy to understand language

Abhimanyu Balgopal

Product Engineer (BigData)

This course delivered everything. This online training course from Intellipaat is exactly what I wanted to understand Apache Spark and Scala in order to appear for the certification exam.

Monika Kadel

Big data Developer at Amdocs

You have been extremely helpful for making me understand all demanding big data technologies at one place.

Ashwin Singhania

Hadoop Architect at Infosys

All videos are in-depth yet concise. I had no problem understanding the tough concepts. Wonderful job Intellipaat!

Debdut Bose

Big Data Expert

A properly structured training that is simple to learn. Quality content

Nidhi Gupta

Java Developer at Acer

The quality of the course content is just awesome. Very happy to choose the right course for the career. Overall, a great set of tutorials.

FAQ’s on Apache Spark Online Training

Why should I learn Apache Spark Training in Dubai from Intellipaat?

Intellipaat is the pioneer in Hadoop training in India. So, it pays to be with the market leader like Intellipaat to learn Spark and Scala and get the best jobs in top MNCs for top salaries. The Intellipaat training is the most comprehensive course that includes real-time projects and assignments which are designed by industry experts. The entire course content is fully aligned towards clearing the exam for the Apache Spark component of the Cloudera Spark and Hadoop Developer Certification (CCA175) exam.

Intellipaat offers lifetime access to videos, course materials, 24/7 support and course material upgrades to the latest version at no extra fee. For Hadoop and Spark training, you get the Intellipaat Proprietary Virtual Machine for lifetime and free cloud access for 6 months for performing training exercises. Hence, it is clearly a one-time investment.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Intellipaat offers self-paced training to those who want to learn at their own pace. This training also gives you the benefits of query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on LMS for a lifetime. Also, you get the latest version of the course material at no added cost.

Intellipaat’s self-paced training is 75 percent lesser priced compared to the online instructor-led training. If you face any problems while learning, we can always arrange a virtual live class with the trainers as well.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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