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Apache Spark with Scala Training in Delhi

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  • Delivered by 9+ years of Apache Spark with Scala Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
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  • 100% Guaranteed Placement Support for Freshers & Working Professionals
  • You will not only gain knowledge of Apache Spark with Scala Certification and advanced concepts, but also gain exposure to Industry best practices
  • Experienced Trainers and Lab Facility
  • Apache Spark with Scala Professional Certification Guidance Support with Exam Dumps
  • Practical oriented / Job oriented Training. Practice on Real Time project scenarios.
  • We have designed an in-depth course so meet job requirements and criteria
  • Resume & Interviews Preparation Support
  • Concepts:Apache Spark Core, Motivation for Apache Spark, Spark Internals, RDD, SparkSQL, Spark Streaming, MLlib, and GraphX that form key constituents of the Apache Spark course.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
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Course Objectives

Apache Spark with Scala Big data, Spark with Scala/Python falls in the data engineering category. It is increasing nowadays as most of the business of top companies are getting generated from Data Analytics projects. Accenture said its 60% business is from Data Analytics, TCS also got 2.5 billion dollar deal in Data Analytics only.
    Well, Apache Spark is a general-purpose & lightning-fast cluster computing system (a Framework) whereas Scala is a high-level programming language in which Spark is written.
Apache Spark and Scala are one of the most active projects of Apache and its future scope will be long-lasting. Using Apache Spark, we achieve a high data processing speed of about 100x faster in memory and 10x faster on the disk. This is made possible by reducing the number of read-write to disk.
We are happy and proud to say that we have a strong relationship with over 700+ small, mid-sized, and MNCs.
Apache Spark is written in Scala and because of its scalability on JVM - Scala programming is the most prominently used programming language, by big data developers for working on Spark projects. Also, the performance achieved using Scala is better than many other traditional data analysis tools like R or Python.
    Means to learn Spark framework, you must have minimum knowledge in Scala. It's a new programming language, but it's very powerful. If you know any programming language like C, C++, core java, PHP, Python, or any other language, you can easily learn the Scala language.
    No learning Scala to learn and work with Spark is not necessary. Scala being a functional language can be very easy to understand especially if you come from C or other languages. it runs on JVM. Since Spark is written in Scala you will/might have a few performance benefits if you write your programs in Scala.

Is Apache Spark and Scala Worth Learning in Nowadays?

    Apache Spark and Scala are considered a 'general-purpose' language that makes use of the functional and object-oriented paradigms. Even though Scala is a great language to use in these categories, if you don't understand why you need Scala (regardless if it's 2020 or 2030), you most likely shouldn't be learning it yet.

How do I run Spark Program in Scala?

Go to Spark Home Directory. Login to Linux and open the terminal. To run the Spark Scala application we will be using Ubuntu Linux. Copy the jar file to create one text file, which we will use as input for the Spark Scala wordcount job.

Is Apache Spark with Scala difficult to learn?

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.

Top reasons to consider a career in Apache Spark with Scala?

  • Hadoop Compatible.
  • High on Versatility, High on Demand.
  • Salaries Going Through the Roof.
  • Diminishing Appeal of Hadoop.
  • Quick Coding, Low Latency.

How do beginners learn the Apache Spark Scala Course?

    Apache Spark Scala may be a powerful business intelligence tool and beginners should initially understand the ideas of knowledge visualization before setting out to use it. Apache Spark Scala course is one of the most effective resources beginners will choose to learn from scratch.
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Overview of Apache Spark with Scala Training in Delhi

ACTE Apache Scala and Spark certification in Delhi online education will help you master the Big Data Hadoop Ecosystem. This Spark course will help you learn critical, in-demand Apache Spark skills and build a competitive advantage for a rewarding career as a Spark Developer. This Spark certification course teaches you the fundamentals of the Apache Spark open-supply framework and Scala programming language, as well as Spark Streaming, Spark SQL, system studying programming, GraphX programming, and Shell Scripting Spark. You can even recognise Spark's role in overcoming MapReduce constraints.

Additional Info


Spark training enables you to master real-time data processing by utilising the libraries Spark streaming, Spark SQL, Spark RDD, and Spark Machine Learning (Spark MLlib). In this Spark and Scala course, you will learn Spark and Scala programming as well as work on three real-world use cases.Top industry experts curate the Apache Spark and Scala certification. This Apache Spark training is designed to assist you in mastering Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, and Spark MLlib. This Apache Spark training is live, instructor-led, and hands-on, and will help you master key Apache Spark concepts. This Apache Spark course is completely immersive, allowing you to learn and interact with the instructor as well as your peers. Enroll in this Scala online training right now.

The following are some of the most well-known characteristics of useful programming:

  • Flexibility and power.
  • Simplicity.
  • Parallel processing is possible.

Top 9 Advantages of Taking an Apache Spark and Scala Certification Course:

  • In the event that you need to scale new heights in your profession, data technology provides unprecedented scope.
  • Also, as part of a business, if you're planning on cornering your niche market, you'll want to gain specific insights into how the market is changing.
  • With Apache Spark and Scala training, you may become skilled at learning styles and making conclusive fact-driven assumptions.
  • There are numerous benefits to studying this framework-language aggregate as an aspirant or by exposing your company's selected personnel to it.
  • Ideal for IoT Implementation:

  • If your organisation is focusing on the Internet of Things, Spark's capability of managing multiple analytics tasks concurrently can force it.
  • This is accomplished through the use of advanced ML libraries, superior algorithms for graph analysis, and in-memory data processing with low latency.
  • Aids in the Optimization of Business Decision Making:

  • Low latency data transmitted via IoT sensors can be analysed as continuous streams using Spark.
  • Dashboards that capture and display information in real time can be created to explore new development avenues.
  • Complex Workflows Can Be Easily Created:

  • Spark has committed high-level libraries for studying graphs, growing SQL queries, machine learning, and data streaming.
  • As a result, you can efficiently create complex large-scale information-analytical workflows with minimal coding.
  • It's Getting Easier to Prototype Solutions:

  • As a Data Scientist, you can use Scala's programming ease and Spark's framework to create prototype answers that provide illuminating insights into the analytical model.
  • Aids in De-centralized Data Processing:

  • In the coming decade, fog computing may gain traction and supplement IoT to enable decentralised information processing.
  • By studying Spark, you can prepare for future technology that will require massive amounts of data to be analysed.
  • You can also create eye-catching IoT-driven programmes to streamline business functions.
  • Hadoop compatibility:

  • Spark can run on top of HDFS (Hadoop Distributed File System) and may be used to supplement Hadoop.
  • If your company already has a Hadoop cluster, you don't need to spend money on setting up Spark infrastructure.
  • Spark can be deployed on Hadoop in a cost-effective manner.
  • Framework Flexibility:

  • Spark works well with a variety of programming languages, including R, Java, Python, and others.
  • This means that Spark can be used to build Agile programmes with little to no coding.
  • With numerous programmers contributing to it, the Spark and Scala online network may be quite colourful.
  • You can obtain all of the necessary sources from the network in order to use your plans
  • .

    Quicker than Hadoop:

  • Apache Spark in Delhi trainingcan virtually provide a main area if your company is looking to improve information processing speeds in order to make faster decisions.
  • Spark processes data in a cyclic manner, and the execution engine stores information in-memory.
  • Support for the Directed Acyclic Graph (DAG) mechanism enables the Spark engine to run concurrent jobs on the same datasets.
  • Data is processed 100 times faster with the Spark engine than with Hadoop MapReduce.
  • Proficiency Booster:

  • If you study Spark and Scala, you may find yourself gifted in leveraging the energy of various information systems, such as Tachyon, Hive, HBase, Hadoop, Cassandra, and others.
  • Spark can be run on top of YARN or any other distributed framework, as well as on a standalone server.

Apache Spark Training Career Path:

    Goal – Spark Careers:

  • As we all know, Apache Spark has a gleaming new face in the world of big data analytics.
  • Spark's importance and percentage in businesses are constantly increasing. As a result, there are numerous professional opportunities in spark.
  • We can speak the same in this blog, "Apache Spark Careers Opportunity: A Quick Guide."
  • We can even mention some of the most prestigious organisations that make use of a spark. Furthermore, we can speak the process titles for that technology.
  • Apache Spark Job Opportunities:

  • Developers all over the world are utilising the Spark framework in unique languages. Scala, Java, and Python are a few examples.
  • Apache Spark allows users to run programmes written in their preferred languages.
  • It also speeds up the development of new apps. Spark has been taken very seriously by a few large corporations all over the world.
  • Some well-known companies include Amazon, Yahoo, Alibaba, eBay, Hitachi, Shopify, and many others.
  • They have invested in Spark-related skills. There are a few ratios where jobs are available, which include batch processing of large data sets, and 78 percent of them are engaged.
  • In addition, for occasion circulate processing, 60 percent assistance is required.
  • Similarly, 56 percent are available for real-time information querying.
  • Furthermore, 55 percent of respondents want to improve programming productivity. Furthermore, there are a few significant opportunities across enterprise segments, such as.
  • Telecommunication/Networking.
  • Finance and banking.
  • Retail.
  • Software.
  • Entertainment and the media.
  • Consulting.
  • Healthcare.
  • Manufacturing.
  • IT.
  • Medical and technical services provided by professionals.
  • Advantages of Learning Spark:

  • Recently, there has been a strong choice to have a technical workforce in every sector.
  • Professional experts are in high demand. Because there are an abundance of large information jobs available in the market.

Spark and Scala Course Content:


This Spark certification education path is ideal for professionals looking for a career in real-time big data analytics, analytics experts, research experts, IT builders and testers, data scientists, BI and reporting experts, and students who want to benefit from in-depth knowledge of Apache Spark.


Those who wish to pursue the Apache Spark certification education path must have fundamental knowledge of any programming language as well as basic knowledge of any database, SQL, and query language for databases. Working knowledge of Linux or Unix-based systems is also required.

Who can Learn:

    What Is the Difference Between Apache Spark and Scala?

  • Big Data and Analytics are transforming the way businesses make knowledgeable market-oriented decisions, devise strategies for focusing on consumer segments that are most promising, and stay protected from market quirks and monetary volatility.
  • These abilities are influenced by the use of mining data, which is stored in massive amounts of information generated online or from various related sources.
  • The Apache Spark in Delhi interface can reliably process large amounts of data. Spark, in addition to facilitating seamless programming for information clusters, provides the appropriate fault tolerance and information parallelism.
  • This means that large datasets can be processed quickly with the help of this open supply platform. In terms of advanced and complex data management, storing, analysing, and retrieving capabilities, Apache Spark outperforms Hadoop.
  • Spark framework includes modules for ML (Machine Learning), real-time data streaming, textual and batch data, graphics, and so on, making it ideal for unique enterprise verticals.
  • Scala, or Scalable Language, is a general-purpose object-oriented programming language in which Spark is written to aid in cluster computing. Scala provides assistance with immutability, kind interference, lazy evaluation, sample matching, and other features.
  • Scala provides features that Java does not have, such as operator overloading, named parameters, no checked exceptions, and so on.
  • How is Scala used in Spark?

  • Scala can help you upload new operations to existing instructions with the help of implicit instructions. One of the advantages of Scala is that it makes it very easy to interact with Java code.
  • You can also create an internal Scala class in Java code. Scala facilitates superior element architectures through instructions and traits.
  • Scala is a useful programming language.
  • Scala is a programming language that implements the most important programming concepts.
  • Each computation is treated as a mathematical feature in functional programming, which avoids states and mutable information.

Payscale of Apache Spark in Delhi:

1. For “huge information engineers,” there are a few common revenue systems.

2. They typically range between $108,803 per year for a developer and $143,771 per year for a senior engineer.

3. Furthermore, the average annual salary for large information experts is set at $ 114,000.

4. This is set to be 98 percent higher than the average salary for all process postings nationwide.

5. The above-mentioned revenue figures are derived from 32,336 data points.

6. It is immediately gathered from personnel and gift process classified ads on indeed.

7. Furthermore, according to Glassdoor, the median annual salary for large information knowledge is $ 104,850.

8. In addition, information scientists are expected to earn around $115,000.

9. Furthermore, according to Forbes, the median annual salary for large information experts is $ 124,000.

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Key Features

ACTE offers Apache Spark with Scala Training in more than 27+ branches with expert trainers. Here are the key features,

  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.



Syllabus of Apache Spark with Scala Course in Delhi

Module 1: Introduction

  • 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

Module 2: Spark Core

  • 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

Module 3: Spark SQL & Hive SQL

  • 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

Module 4: Scala Programming

  • 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

Module 5: Scala Functions

  • 1. Oops  vs Functions
  • 2. Anonymous 
  • 3. Recursive 
  • 4. Call-by-name
  • 5. Currying
  • 6. Conditional statement

Module 6: Scala Collections

  • 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

Module 7: Scala Object Oriented Programming

  • 1. Classes ,Objects & Properties
  • 2. Inheritance

Module 8: Spark Submit

  • 1. Maven  build tool implementation
  • 2. Build Libraries
  • 3. Create  Jar files 
  • 4. Spark-Submit

Module 9: Spark Streaming

  • 1. Overview  of Spark Streaming
  • 2. Architecture of Spark Streaming 
  • 3. File streaming
  • 4. Twitter Streaming

Module 10: Kafka 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

Module 11: Spark Mlib

  • 1. Overview  of Machine Learning Algorithm
  • 2. Linear Regression
  • 3. Logistic Regression

Module 12: Spark GraphX

  • 1. GraphX overview
  • 2. Vertices
  • 3. Edges
  • 4. Triplets
  • 5. Page Rank
  • 6. Pregel

Module 13: Performance Tuning

  • 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

Module 14: Project Planning, Monitoring Trouble Shooting

  • 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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Hands-on Real Time Apache Spark with Scala 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.

Our Top Hiring Partner for Placements

ACTE offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

  • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
  • After completion of 70% Apache Spark with Scala training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Apache Spark with Scala Trainers assist students in developing their resume matching the current industry needs
  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

Get Certified By Apache Spark with Scala & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

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About Experienced Apache Spark with Scala Trainer

  • Our Apache Spark with Scala Training in . Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
  • As all Trainers are Apache Spark with Scala domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Apache Spark with Scala training to the students.
  • We have received various prestigious awards for Apache Spark with Scala Training in from recognized IT organizations.

Apache Spark with Scala Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in Delhi & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    ACTE Gives Certificate For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Apache Spark with Scala training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Apache Spark with Scala Course At ACTE?

  • Apache Spark with Scala Course in ACTE is designed & conducted by Apache Spark with Scala experts with 10+ years of experience in the Apache Spark with Scala domain
  • Only institution in Delhi with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE 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. Therefore, we restrict the size of each Apache Spark with Scala batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Apache Spark with Scala. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996/ Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in Delhi
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