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Apache Spark with Scala Training

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Learn Apache Spark with Scala Training Course with Certification from Experts. In this Apache Spark with Scala Online Training, you will learn the in-depth syllabus of Apache Spark with Scala Course which has all advanced modules. Our Apache Spark with Scala Online Course syllabus is designed to learn Apache Spark with Scala Course with practicals.

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  • 40+ Hrs Hands On Training
  • 2 Live Projects For Hands-On Learning
  • 50 Hrs Practical Assignments
  • 24/7 Students

Online Classroom Batches Preferred

22-11-2021
Monday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

24-11-2021
Thursday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

27-11-2021
Saturday (Saturday - Sunday)

Weekend Regular

11:00 AM (IST)

(Class 3hr - 3:30Hrs) / Per Session

27-11-2021
Saturday (Saturday - Sunday)

Weekend Fasttrack

11:00 AM (IST)

(Class 4:30Hr - 5:00Hrs) / Per Session

Can't find a batch you were looking for?
₹21000 ₹16000 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Apache Spark with Scala Online Training Overview

The Spark and Scala training module will equip candidates with the skills necessary to create applications in Spark with the implementation of Scala programming. Also, this training will include a direct comparison between Spark and Hadoop and will cover techniques to enhance the efficiency of applications and enable high-speed processing for candidates. We can learn through hands-on examples in Spark and Scala when critical distribution-related issues such as latency and network connectivity should be considered and how they can be effectively solved for improved efficiency. The primary beneficiary of this training may be someone who wishes to pursue a career in big data and wants to keep him or herself up to date with the latest advances in the efficient processing of consistently growing data using Spark-related projects.

Apache Spark with Scala Training will:

  • Understand the RDD of Spark Internals and use the Spark API and Scala functions to create RDDs and transform RDDs.
  • We will cover Spark's programming model in detail, taking care to understand how and when it differs from familiar programming models, such as shared-memory parallel collections or sequential Scala collections.
  • With a lot of practice sessions and exercises, you're going to master the framework by the end of this course.
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Top Skills You Will Gain
  • Big Data and the need for Spark
  • Diving deep into Apache Spark
  • Deploying Spark in different modes
  • Deploying Spark in local mode
  • Spark Streaming
  • Demystifying Apache Spark
  • Spark MLlib and Spark GraphX, Spark SQL
  • Diving into Scala

Apache Spark with Scala Course Key Features 100% Money Back Guarantee

  • 5 Weeks Training

    For Become a Expert
  • Certificate of Training

    From Industry Apache Spark with Scala Experts
  • Beginner Friendly

    No Prior Knowledge Required
  • Build 3+ Projects

    For Hands-on Practices
  • Lifetime Access

    To Self-placed Learning
  • Placement Assistance

    To Build Your Career

Top Companies Placement

Apache Spark is a distributed computing framework for large data workloads that is open-source. For quick queries against any size of data, it uses in-memory caching and optimized query execution. It is simpler than previous approaches to working with Big Data, such as traditional MapReduce and more, and are often rewarded with substantial pay raises as shown below.
  • Designation
  • Annual Salary
    Hiring Companies
  • 4.2L
    Min
  • 6.9L
    Average
  • 13.5L
    Max
  • 4.7L
    Min
  • 8.5L
    Average
  • 15.3L
    Max
  • 4.4L
    Min
  • 6.3L
    Average
  • 15.3L
    Max
  • 5.2L
    Min
  • 6.9L
    Average
  • 15.2L
    Max

Training Options

One to One Training

₹23000₹ 18000

  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt

Online Training

₹21000₹ 16000

  • preferred
  • Live demonstration of features and practicals.
  • Lifetime access to high-quality self-paced learning and live online class recordings
  • Get complete certification guidance
  • Attend a Free Demo before signing up.

Next Demo Sessions

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Corporate Training

Customized to your team's needs

  • Self-Paced/Live Online/Classroom modes of training available
  • Design your own course content based on your project requirements
  • Learn as per full day schedule and/or flexible timings
  • Gain complete guidance on certification
  • 24x7 learner assistance and support

Self Paced Training

  • 50+ Hours High-quality Video
  • 28+ Downloadable Resource
  • Lifetime Access and 24x7 Support
  • Access on Your Computer or Mobile
  • Get Certificate on Course Completion
  • 3+ Projects
12500 ₹4500

Apache Spark with Scala Course Curriculam

Trainers Profile

Trainers are certified professionals with 12+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Apache Spark with Scala are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.

Pre-requisites

Those wishing to take the Apache Spark certification training course should have a fundamental knowledge of any programming language and a basic understanding of any database, SQL, and query language for databases. Working knowledge of Linux- or Unix-based systems is also beneficial.

Syllabus of Apache Spark with Scala Online Course Download syllabus

  • 1. Overview of Hadoop 
  • 2. Architecture of  HDFS  & YARN
  • 3. Overview of Spark version 2.2.0
  • 4. Spark Architecture
  • 5. Spark  Components 
  • 6. Comparison of  Spark &  Hadoop
  • 7. Installation of Spark v 2.2.0 on Linux 64 bit
  • 1. Exploring the Spark shell 
  • 2. Creating Spark Context
  • 3. Operations on Resilient Distributed Dataset – RDD
  • 4. Transformations & Actions 
  • 5. Loading Data and Saving Data
  • 1. Introduction to SQL  Operations
  • 2. SQL Context
  • 3. Data Frame
  • 4. Working with Hive
  • 5. Loading Partitioned Tables
  • 6. Processing  CSV, Json ,Parquet files
  • 1. Introduction to Scala
  • 2. Feature of Scala
  • 3. Scala vs Java Comparison
  • 4. Data types
  • 5. Data Structure
  • 6. Arrays
  • 7. Literals
  • 8. Logical Operators
  • 9. Mutable & Immutable variables
  • 10. Type interface
  • 1. Oops  vs Functions
  • 2. Anonymous 
  • 3. Recursive 
  • 4. Call-by-name
  • 5. Currying
  • 6. Conditional statement
  • 1. List
  • 2. Map
  • 3. Sets
  • 4. Options
  • 5. Tuples
  • 6. Mutable collection
  • 7. Immutable collection
  • 8. Iterating
  • 9. Filtering and counting 
  • 10. Group By
  • 11. Flat Map
  • 12. Word count
  • 13. File Access
  • 1. Classes ,Objects & Properties
  • 2. Inheritance
  • 1. Maven  build tool implementation
  • 2. Build Libraries
  • 3. Create  Jar files 
  • 4. Spark-Submit
  • 1. Overview  of Spark Streaming
  • 2. Architecture of Spark Streaming 
  • 3. File streaming
  • 4. Twitter Streaming
  • 1. Overview  of Kafka Streaming
  • 2. Architecture of Kafka Streaming 
  • 3. Kafka Installation
  • 4. Topic
  • 5. Producer
  • 6. Consumer
  • 7. File streaming
  • 8. Twitter Streaming
  • 1. Overview  of Machine Learning Algorithm
  • 2. Linear Regression
  • 3. Logistic Regression
  • 1. GraphX overview
  • 2. Vertices
  • 3. Edges
  • 4. Triplets
  • 5. Page Rank
  • 6. Pregel
  • 1. On-Off-heap memory tuning
  • 2. Kryo Serialization
  • 3. Broadcast Variable
  • 4. Accumulator Variable
  • 5. DAG Scheduler
  • 6. Data Locality
  • 7. Check Pointing
  • 8. Speculative Execution
  • 9. Garbage Collection
  • 1. Master – Driver Node capacity
  • 2. Slave –   Worker Node capacity
  • 3. Executor capacity
  • 4. Executor core capacity
  • 5. Project scenario and execution
  • 6. Out-of-memory error handling
  • 7. Master logs, Worker logs, Driver  logs
  • 8. Monitoring Web UI 
  • 9. Heap memory dump
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Need customized curriculum?

Industry Projects

Project 1
Movie Recommendation project

Upon the completion of the project, you will gain experience in working with streaming data, sampling, testing and statistics.

Project 2
Data Exploration Using Spark SQL project

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.

Project 3
Employee Management System (EMS)

Create a new system to automate the regulation creation and closure process.

Mock Interviews

  • Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
  • Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!

How Learnovita Mock Interview Works?

Apache Spark with Scala Training Objectives

  • Apache Spark is a data processing framework that can quickly perform processing tasks on very large data sets, and can also distribute data processing tasks across multiple computers, either on its own or in tandem with other distributed computing tools.
  • Spark is written in Scala
  • When you want to get the most out of a framework, you need to master its original language. Scala is not only Spark's programming language, but it's also scalable on JVM.
  • Apache Spark is written in Scala and because of its scalability on JVM - Scala programming is most prominently used programming language, by big data developers for working on Spark projects.
  • The performance achieved using Scala is better than many other traditional data analysis tools like R or Python.
  • Apache Spark is a Big Data framework which is in high demand. Spark provides streaming as well as batch capabilities, making it one of the biggest revolutionary changes in the environment of Big Data processing. Hence, it is an ideal framework for people and organizations that are looking for speed data analysis.
  • Learning this framework will help you climb up the ladder of your career as nowadays more and more companies are eager to adopt Spark in their system.
  • Learn by examples
  • Scala and Functional Programming for Beginners
  • Scala and Spark for Big Data and Machine Learning
  • Scalable programming with Scala and Spark
  • Scala Advanced
  • Basics of Hadoop file system
  • Understanding of SQL concepts
  • Basics of any Distributed Database
  • Performing ETL or SQL batch jobs with large data sets
  • Processing streaming, real-time data from sensors, IoT, or financial systems especially in combination with static data.
  • Using streaming data to trigger a response
  • Performing complex session analysis
  • Machine Learning tasks
  • Learning Spark is not difficult if you have a basic understanding of Python or any programming language, as Spark provides APIs in Java, Python, and Scala.
  • You can take up this Spark Training to learn Spark from industry experts.
  • Scala ecosystem is constantly growing. The number of great libraries and frameworks is amazing. Scala also supports new technologies like Data Science or Blockchain with its amazing tools.
  • If you have your one favourite Java library you can easily adapt it to Scala's environment because Scala is running on JVM.
  • Spark is kind of like every other language or framework.
  • You can probably get something running on day 1 (or week 1 if it's very unfamiliar), you can express yourself in a naive manner in a few weeks, and you can start writing quality code that you would expect from an experienced developer in a month or two.
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Exam & Certification

At LearnoVita, You Can Enroll in Either the instructor-led Online Classroom Training or Online Self-Paced Training. Online Classroom:
  • Participate and Complete One batch of Apache Spark with Scala Training Course
  • Successful completion and evaluation of any one of the given projects
Online Self-learning:
  • Complete 85% of the Apache Spark with Scala Certification course
  • Successful completion and evaluation of any one of the given projects
Honestly Yes, We Provide 1 Set of Practice test as part of Your Apache Spark with Scala Training course. It helps you to prepare for the actual Apache Spark with Scala Certification exam. You can try this free Apache Spark with Scala Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s Apache Spark with Scala Certification Path.
  • Oracle Certified Associate (OCA)
  • Oracle Certified Professional (OCP)
  • Oracle Certified Expert (OCE)
  • Oracle Certified Master (OCM)
  • Learn About the Certification Paths.
  • Write Code Daily This will help you develop Coding Reading and Writing ability.
  • Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
  • Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
  • Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for Apache Spark with Scala Developers.

Apache Spark with Scala Course FAQ's

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Yes, you can attend the demo session. Even though We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrolment is not possible.If you are unable to attend you can go through our Pre recorded session of the same trainer, it would give you a clear insight about how are the classes conducted, the quality of instructors, and the level of interaction in the class.
All Our instructors are working professionals from the Industry, Working in leading Organizations and have Real-World Experience with Minimum 9-12 yrs of Relevant IT field Experience. All these experienced folks at LearnoVita Provide a Great learning experience.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course
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  • 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
  • LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
  • More than 5400+ students placed in last year in India & Globally.
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After Your Course Completion You will Receive
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  • LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
  • 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.
At LearnoVita you can enroll in either the instructor-led Online Training, Self-Paced Training, Class Room, One to One Training, Fast Track, Customized Training & Online Training Mode. Apart from this, LearnoVita also offers Corporate Training for organizations to UPSKILL their workforce.
LearnoVita Assures You will Never lose any Topics and Modules. You can choose either of the Three options:
  • We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
  • View the class presentation and recordings that are available for online viewing.
  • You can attend the missed session, in any other live batch.
Just give us a CALL at +91 9383399991 OR email at contact@learnovita.com
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question After Once You Have Enrolled.
We at LearnoVita believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics and Can Access more information and Richer Understanding through teacher and other students' body language and voice. Therefore, we restrict the size of each Apache Spark with Scala batch to 5 or 6 members
Learning Apache Spark with Scala can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in Apache Spark with Scala. Mastering Apache Spark with Scala can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
The Average Apache Spark with Scala Developer salary in India is ₹4,43,568 per annum.
You can contact our support number at +91 93800 99996 / Directly can do by LearnoVita E-commerce payment system Login or directly walk-in to one of the LearnoVita branches in India.
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