Master in Scala with Spark

(5.0) G 4.5/5 f 4.5/5
Course Duration

Approx 80 hours

Lab Project

50+

Certification

Industry recognized

Training Format

Online/Classroom/Corporate

scala with spark

8000+

Certified Learners

15+

Years Avg. faculty experience

40+

Happy Clients

4.5/5.0

Average class rating

ABOUT MASTER IN SCALA WITH SPARK TRAINING AND CERTIFICATION


Scala is one of the most popular language and enterprises that runs on a Java virtual machine. It has been successfully deployed to production at companies like Samsung, Verizon, Walmart, Twitter, and many more. Learning new concepts and working with Scala, which will make you a better and a productive programmer. Learning Scala opens doors to programming methodologies such as functional programming and doing concurrency the right way. It also encourages you to write clean and testable code while writing less code at the same time.

This course has been prepared for beginners to help them understand the basics of Scala in simple and easy steps. After completing this course, you will find yourself at a moderate level of expertise in using Scala from where you can take yourself to next levels.

Instructor-led, Live & Interactive Sessions


Duration
Mode
Agenda
Approx 80 Hours
Online (Instructor-led)
Master in Scala with Spark

Course Price at

19,999/-

24,999


[Fixed - No Negotiations]



Master in Scala with Spark


Master in Scala with Spark

Upon completion of this program you will get 360-degree understanding of Scala. This course will give you thorough learning experience in terms of understanding the concepts, mastering them thoroughly and applying them in real work environment.

Project

You will be given industry level real time projects to work on and it will help you to differentiate yourself with multi-platform fluency, and have real-world experience with the most important tools and platforms.


Interview

As part of this, You would be given complete interview preparations kit, set to be ready for the Scala hotseat. This kit has been crafted by 200+ years industry experience and the experiences of nearly 10000 DevOpsSchool's Scala learners worldwide.

Agenda of the Master in Scala with Spark


  • Introduction - Scala
  • Functional Programming Concepts
  • First Interaction with Scala
  • Functions
  • Classes
  • Null Checks and Error Handling
  • Pattern Matching
  • Collections
  • Introduction - Spark
  • Getting Started
  • Spark Core: Part 1
  • Spark Core: Part 2
  • Distribution and Instrumentation
  • Spark Libraries
  • Optimizations and the Future

  • Overview
  • Why Learn Scala?
  • What You Will Learn
  • Installation
  • Scala REPL
  • Scala IntelliJ IDEA
  • Summary
  • Overview
  • Immutability
  • Expressions vs. Statements
  • Functions
  • Pure and Impure Functions
  • Referential Transparency
  • Higher-Order Functions
  • Summary
  • Overview
  • REPL
  • Variables and Values
  • Conditionals
  • Loops
  • Summary
  • Overview
  • Structure of a Function
  • Anonymous Functions
  • Higher-Order Functions
  • Summary
  • Overview
  • Structure of Classes
  • Companion Objects
  • Creating Objects Using Apply
  • Case Classes
  • Launching Standalone Programs Extending App
  • Summary
  • Overview
  • Why Null Checks Are Bad
  • Option as a Better Alternative
  • Error Handling in Imperative Languages
  • Error Handling with Try
  • Error Handling with Either
  • Summary
  • Overview
  • What Is It?
  • Match on Constants
  • Match on Case Classes
  • Match on Sequences
  • Match on Type Only
  • Guarding Your Match
  • Summary
  • Overview
  • Benefits of Scala Collections Library
  • Mutable and Immutable
  • Class Hierarchy Diagram
  • List with Examples
  • Set with Examples
  • Map with Examples
  • Methods on Numeric Collections
  • Filtering, Size, and Conversion Operations on Collections
  • Transforming a Collection Using Map
  • Transforming a Collection Using FlatMap
  • Working with Option and FlatMap
  • Summary
  • Overview
  • Concurrency and Parallelism
  • Future and ExecutionContext
  • Futures Transformation
  • Filtering and Collecting Futures
  • Other Ways to Model Asynchronous Operation
  • Dealing with Future Failures
  • Summary
  • Overview
  • Understanding Classes and Objects
  • Creating Classes and Objects
  • Making Objects Immutable
  • Understanding Singleton Objects
  • Understanding Functional Objects
  • Understanding Abstract Classes, Inheritance, and Composition
  • session_start()
  • Project Demo
  • Overview
  • Introduction to Scala Types
  • Embedding Scala Expressions in String Literals
  • Using Methods as Operators
  • Understanding Scala Class Hierarchy
  • Project Demo
  • Summary
  • Overview
  • Understanding Local Functions
  • Understanding Function Literals and Function Values
  • Understanding Partially Applied Functions
  • Understanding Closures
  • Applying Repeated Arguments to Functions
  • Understanding Named Arguments and Default Parameter Values
  • Understanding Tail Recursion
  • Project Demo
  • Summary
  • Overview
  • Using Function Value to Remove Code Duplication
  • Understanding Currying
  • Creating Control Abstraction
  • Understanding by Named Parameters
  • Project Demo
  • Summary
  • Overview
  • Understading Traits
  • Developing Rich Interfaces with Traits
  • Developing Stackable Modifications with Traits
  • Understanding When to Use Traits or Not
  • Project Demo
  • Summary
  • Overview
  • Understanding How Reduce Works
  • Understanding How Fold Operations Work
  • Project Demo
  • Summary
  • Overview
  • Understanding How Implicit Conversion Works
  • Understanding the Rules for Implicits
  • Working with Application of Implicits
  • Project Demo
  • Summary
  • Why Spark?
  • Hadoop Explosion to Spark Unification
  • Spark's Background
  • Installation
  • Spark Programming Languages
  • Hello Big Data!
  • Logistics
  • Resources
  • Summary
  • Intro
  • Spark Appification
  • What Is an RDD?
  • Loading Data
  • Lambdas
  • Transforming Data
  • More Transformations
  • Actions and the Associative Property
  • Acting on Data
  • Persistence
  • Resources
  • Summary
  • Intro
  • Implicit Conversions
  • Key-Value Methods
  • Caching Data
  • Accumulating Data
  • Java in Spark
  • Resources
  • Summary
  • Intro
  • Spark Submit
  • Cluster Management
  • Standalone Cluster Scripts
  • AWS Setup
  • Spark on Yarn in EMR
  • Spark UI
  • Resources
  • Summary
  • Intro
  • Spark SQL
  • Spark SQL Demo
  • Spark SQL Demo - The SQL Side
  • Streaming
  • Streaming Demo
  • Machine Learning
  • Machine Learning Demo
  • GraphX
  • GraphX Demo
  • Resources
  • Summary
  • Intro
  • Closures
  • Broadcasting
  • Optimizing Partitioning
  • Spark's Future
  • Resources
  • Summary
PROJECT

In Scala Course a Participant will get total 100+ Lab Assignment, real time scenario based projects to work on, and 250+ real-time interview questions, as part of these projects, we would help our participant to have first hand experience of real time scenario based software project development planning, coding, deployment, setup and monitoring in production from scratch to end. We would also help our participants to visualize a real development environment, testing environment and production environments.

Interview

As part of this, You would be given complete interview preparations kit, set to be ready for the Scala hotseat. This kit has been crafted by 200+ years industry experience and the experiences of nearly 10000 DevOpsSchool Scala learners worldwide.

OUR COURSE IN COMPARISON

FEATURES DEVOPSSCHOOL OTHERS
Master in Scala with Spark
Faculty Profile Check
Lifetime Technical Support
Lifetime LMS access
Real-time interview questions
  • It sounds dynamic, but it is strongly statically typed languages, e.g. Haskell or Java.
  • The Scala compiler is really smart and uses type-inference entirely.
  • Scala provides type inference for variables and functions, much better than the limited type inference in Java and C#.

Scala Programming is based on Java, so if you are aware of Java syntax, then it's pretty easy to learn Scala. Further if you do not have expertise in Java but if you know any other programming language like C, C++ or Python then it will also help in grasping Scala concepts very quickly.

SCALA CERTIFICATION

What are the benefits of "Scala" Certification?

Certifications always play a crucial role in any profession. You may find some Scala professional's, who will tell you that certifications do not hold much value; This certification demonstrates an individual's ability to generate complex searches, reports, and dashboards with Scala's core software to get the most out of their data.


A Scala Core Certified User can search, use fields, use look-ups, and create basic statistical reports and dashboards in the Scala Enterprise or Scala Cloud Platforms. This certification demonstrates an individual’s ability to navigate and use the Scala Software.

FREQUENTLY ASKED QUESTIONS

Scala is a type-safe JVM programming language that includes both object-oriented and functional programming and it is used for general software applications. Scala's was first introduced in 2003 and increased its use rapidly in recent years.

Scala is a statically typed programming language whereas Java is a multi-platform, network-centric, programming language. Scala less readable because of nested code, while Java is more readable.

  • LinkedIn
  • Twitter
  • Foursquare
  • Netflix
  • Tumblr
  • The Guardian
  • precog
  • Sony

Sorry, but we don't have a demo concept if you want to get familiar with our trainer's teaching style then we can send you some pre-recorded online session videos.

Yes, after the training completion, participant will get one real-time scenario based project where they can impletement all their learnings and acquire real-world industry setup, skills, and practical knowledge which will help them to become industry-ready.

All our trainers, instructors and faculty members are highly qualified Associates from the Industry and have at least 10-15 yrs of relevant experience in various domains like IT, Agile, SCM, B&R, DevOps Training, Consulting and mentoring. All of them has gone through our selection process which includes profile screening, technical evaluation, and a training demo before they onboard to led our sessions.

No. But we help you to get prepared for the interviews and resume preparation as well. As there is a big demand for DevOps Associates, we help our participants to get ready for it by working on a real life projects and providing notifications through our "JOB updates" page and "Forum updates" where we update JOB requirements which we receive through emails/calls from different-different companies who are looking to hire trained Associates.

The system requirements include Windows / Mac / Linux PC, Minimum 2GB RAM and 20 GB HDD Storage with Windows/CentOS/Redhat/Ubuntu/Fedora.

All the Demo/Hands-on are to be executed by our trainers on DevOpsSchool's AWS cloud. We will provide you the step-wise guide to set up the LAB which will be used for doing the hands-on exercises, assignments, etc. Participants can practice by setting up the instances in AWS FREE tier account or they can use Virtual Machines (VMs) for practicals.

  • Google Pay/Phone pe/Paytm
  • NEFT or IMPS from all leading Banks
  • Debit card/Credit card
  • Xoom and Paypal (For USD Payments)
  • Through our website payment gateway

Please email to contact@DevopsSchool.com

You will never lose any lecture at DevOpsSchool. There are two options available: You can view the class presentation, notes and class recordings that are available for online viewing 24x7 through our Learning management system (LMS). You can attend the missed session, in any other live batch or in the next batch within 3 months. Please note that, access to the learning materials (including class recordings, presentations, notes, step-bystep-guide etc.)will be available to our participants for lifetime.

Apache Spark is an open source, distributed processing system which is used for big data workloads. It uses in-memory caching and optimized query execution for fast queries against the data of any size.

Spark is a formally defined computer programming language which is based on the Ada programming language.

  • If you're already using a supported language like as Java, Python, Scala, R.
  • Spark works with distributed data.

Yes, Classroom training is available in Bangalore, Hyderabad, Chennai and Delhi location. Apart from these cities classroom session can be possible if the number of participants are 6 plus in that specific city.

Location of the training depends on the cities. You can refer this page for locations:- Contact

We use GoToMeeting platform to conduct our virtual sessions.

DevOpsSchool provides "DevOps Certified Associate (DCP)" certificte accredited by DevOpsCertificaiton.co which is industry recognized and does holds high value. Particiapant will be awarded with the certificate on the basis of projects, assignments and evaluation test which they will get within and after the training duration.

If you do not want to continue attend the session in that case we can not refund your money back. But, if you want to discontinue because of some genuine reason and wants to join back after some time then talk to our representative or drop an email for assistance.

Our fees are very competitive. Having said that if the participants are in a group then following discounts can be possible based on the discussion with representative
Two to Three students – 10% Flat discount
Four to Six Student – 15% Flat discount
Seven & More – 25% Flat Discount

If you are reaching to us that means you have a genuine need of this training, but if you feel that the training does not fit to your expectation level, You may share your feedback with trainer and try to resolve the concern. We have no refund policy once the training is confirmed.

You can know more about us on Web, Twitter, Facebook and linkedin and take your own decision. Also, you can email us to know more about us. We will call you back and help you more about the trusting DevOpsSchool for your online training.

If the transaction occurs through the website payment gateway, the participant will receive an invoice via email automatically. In rest options, participant can drop an email or contact to our representative for invoice

DEVOPSSCHOOL ONLINE TRAINING REVIEWS

Abhinav Gupta

Abhinav Gupta, Pune

(5.0)

The training was very useful and interactive. Rajesh helped develop the confidence of all.


Indrayani

Indrayani, India

(5.0)

Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.


Ravi Daur

Ravi Daur , Noida

(5.0)

Good training session about basic Devops concepts. Working session were also good, howeverproper query resolution was sometimes missed, maybe due to time constraint.


Sumit Kulkarni

Sumit Kulkarni, Software Engineer

(5.0)

Very well organized training, helped a lot to understand the DevOps concept and detailed related to various tools.Very helpful


Vinayakumar

Vinayakumar, Project Manager, Bangalore

(5.0)

Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.



Abhinav Gupta

Abhinav Gupta, Pune

(5.0)

The training with DevOpsSchool was a good experience. Rajesh was very helping and clear with concepts. The only suggestion is to improve the course content.


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