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Apache Spark with Scala Training in San Francisco

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  • Beginner & Advanced level Classes.
  • Hands-On Learning in Apache Spark with Scala.
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  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Affordable Fees with Best curriculum Designed by Industrial Apache Spark with Scala Expert.
  • Delivered by 9+ years of Apache Spark with Scala Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
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  • 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
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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 is the 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 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 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 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 is 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 terminal. To run 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 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 Scala Training in San Francisco

This Spark certification Training allows you to grasp the critical competencies of the Apache Spark open-supply framework and Scala programming language, consisting of Spark Streaming, Spark SQL, gadget mastering programming, GraphX programming, and Shell Scripting Spark. You may also recognize the function of Spark in overcoming the constraints of MapReduce.

Apache Spark and Scala Certification Training in San Francisco provide you hands-on understanding to create Spark packages the usage of Scala programming. It offers you a clean assessment of Spark and Hadoop. The route gives you strategies to grow software overall performance and allows high-pace processing of the usage of Spark RDDs, in addition to assisting withinside the customization of Spark the usage of Scala in San Francisco.

Additional Info


  • This Spark route teaches you the basics of the Apache Spark open-supply framework and Scala programming languages, including Spark Streaming, Spark SQL, system getting to know programming, GraphX programming, and Shell Scripting Spark. You may even realize Spark's position in overcoming MapReduce's limitations. The Apache Spark Certification Training Course is designed to present you the information and abilties you want to emerge as a hit Big Data & Spark Developer. This Training will help you in passing the CCA Spark and Hadoop Developer (CCA175) exam.
  • You may be acquainted with the basics of Big Data and Hadoop. You will find out how Spark allows in-reminiscence records processing and outperforms Hadoop MapReduce. You may even find out about RDDs, Spark SQL for dependent processing, and the numerous Spark APIs including Spark Streaming and Spark MLlib. This Scala online route is an important part of the professional route of a Big Data Developer.

Eligibility :

This Spark certification Training route is right for specialists aspiring for a profession withinside the subject of real-time massive records analytics, analytics specialists, studies specialists, IT builders and testers, records scientists, BI and reporting specialists, and students who need to advantage of radical information of Apache Spark.

Pre-requisites :

Those wishing to take the Apache Spark certification Training route have to have essential information of any programming language and primary information of any database, SQL, and question language for databases. Working information of Linux- or Unix-primarily based totally structures is likewise beneficial.

Benefits of Apache Spark with Scala :

    Apache Spark with Scala is utilized by nine out of 10 companies for his or her massive records needs. Let’s check its blessings on the character and organizational stage:

    Individual Benefits:
  • Learn Apache Spark to have multiplied get entry to Big Data.
  • There’s a big call for Spark Developers throughout companies.
  • With an Apache Spark with Scala certification, you'll earn minimal profits of $ hundred,000.
  • As Apache Spark is deployed through each enterprise to extract big volumes of records, you get the possibility to be in call for throughout numerous industries.
  • Organization Benefits:
  • It helps a couple of languages like Java, R, Scala, Python.
  • Easier integration with Hadoop as Spark is constructed at the Hadoop Distributed File System.
  • It allows quicker processing of records streams in real-time with accuracy.
  • Spark code may be used for batch processing, be part of the movement towards historic records, and run ad-hoc queries on movement state.

Key Responsibilities of an Apache Spark Developer :

  • Ability to outline problems, accumulate records, set up facts, and draw legitimate conclusions with software program code.
  • Clean, remodel and examine uncooked records from numerous mediation reasserts the use of Spark to offer equipped to apply records.
  • Use of refactoring code, in order that joins, are accomplished efficiently
  • Provide technical Spark platform structure guidance.
  • Implement partitioning schemes to aid described use cases.
  • Lead deep-dive operating classes for the fast decision of Spark platform issues.

Skills of an Apache Spark Developer :

  • To emerge as an expert-stage Spark developer and thrive withinside the enterprise; you want to have the right goal and comply with the proper route to gather the abilties in order to take you in advance.
  • If you're a novice in Big Data analytics, you have to begin with a few online Training publications and certifications. You have to recognize the idea in the back of massive records and the way to maneuver them to get to the result.
  • Experience is the high-quality shape of getting to know, so after you are accomplished with the route, take in a few initiatives on your own. Explore matters through taking over one-of-a-kind challenges. Understand Dataframes and RDDs – the fundamental constructing blocks of Spark.
  • Spark may be used with many excessive-stage programming languages like Python, Java, R, and Scala. Make certain you're gifted in at the least certainly considered one among them.
  • Knowledge and understanding in Spark functions like SparksSQL, SparkML-Lib, Spark GraphX, SparkR, Spark Streaming will provide you with the self-belief to do your job.

Who can Start:

    What will you research on this online Spark Training?
  • Scala and Apache Spark programming.
  • There is a difference between Apache Spark and Hadoop.
  • Scala, in addition to its programming implementation.
  • Putting Spark on a cluster.
  • Python, Java, and Scala are used to create Spark packages.
  • RDD and its operation, in addition to Spark, set of rules implementation.
  • Defining and elaborating on Spark streaming.
  • Scala training is used to put in force sample matching.
  • Interoperability among Scala and Java, in addition to different Scala operations.
  • Working on Scala initiatives in order to run on Spark packages.
  • What stipulations are there for this Spark route?
  • This Apache Spark and Scala certification Training doesn't have any stipulations.
  • Basic database, SQL, and question language information, on the opposite hand, can be useful resources in getting to know Spark and Scala.
  • Why have you're taking this Apache Spark Training?
  • Apache Spark is an unfastened and open-supply computing framework this is a hundred instances quicker than MapReduce.
  • Spark is an opportunity record processing technique this is wonderful in batch processing and streaming.
  • This is a complete Scala route for superior implementation.
  • It assists you in getting ready for the Cloudera Hadoop Developer and Spark Professional Certifications.
  • Improve your resume's expert credibility so you may be employed quickly and for excessive profits.

Skills Covered:

  • Hadoop
  • Scala
  • Python
  • Java
  • MLlib
  • Clustering the use of K-means
  • Kafka
  • Flume
  • Hive
  • SQL Spark
  • Maven
  • Scala–Java
  • Cloudera
  • ZooKeeper

Advantages of this Training:

  • Learn Apache Spark to enhance your get entry to Big Data.
  • Spark Developers are in excessive call for throughout companies.
  • You will earn a minimum of $ hundred,000 with an Apache Spark with Scala certification.
  • Because Apache Spark is utilized by each enterprise to extract large quantities of records, you'll have the possibility to paintings in a number of industries.
  • It helps a number of programming languages, along with Java, R, Scala, and Python.
  • Spark is constructed at the Hadoop Distributed File System, which makes integration with Hadoop easier.
  • It allows quicker and extra correct real-time processing of records streams.
  • Spark code may be used for batch processing, becoming a member of a movement to historic records, and walking ad-hoc queries on movement statistics.

Industry Trends:

    1. Ideally desirable for IoT implementation:
  • If your employer is focusing on the Internet of Things, Spark's cap potential to address a couple of analytics responsibilities simultaneously can assist pressure it.
  • This is achieved thru the usage of well-evolved ML libraries, superior algorithms for graph analysis, and low-latency in-reminiscence records processing.
  • 2. Aids withinside the optimization of enterprise decisions:

    Spark can examine low latency records transmitted through IoT sensors as non-stop streams. Dashboards that seize and show records in real-time may be created to research cap potential improvements.

    3. Complex Workflows Can Be Easily Created:
  • Spark has excessive-stage libraries for studying graphs, writing SQL queries, system getting to know, and records streaming.
  • As a result, you could effortlessly create complicated massive records analytical workflows with minimum coding.
  • 4. Making Prototyping Solutions Easier:

    As a Data Scientist, you could use Scala's programming ease and Spark's framework to create prototype answers that offer illuminating insights into the analytical model.

    5. Aids in decentralized records processing:
  • In the approaching decade, fog computing will advantage traction and supplement IoT to allow decentralized records processing.
  • By getting to know Spark, you could be equipped for destiny technology that requires huge quantities of dispensed records to be analyzed.
  • You also can create fashionable IoT-powered packages to streamline enterprise processes.
  • 6. Hadoop compatibility:
  • Spark can run on the pinnacle of HDFS (Hadoop Distributed File System) to complement Hadoop.
  • If your corporation already has a Hadoop cluster, there's no want to spend extra cash on putting in place Spark infrastructure.
  • Spark may be deployed on Hadoop's records and clusters in a cost-powerful manner.

Spark has the subsequent functions :

  • Processing is lightning fast.
  • Support for Advanced Analytics.
  • Stream Processing in Real-Time.
  • Integration with Hadoop and Existing Hadoop Data.
  • The network is energetic and growing.

Certification of Spark with scale :

  • This route is supposed to put together students to skip the Apache Spark aspect of the Cloudera Spark and Hadoop Developer Certification (CCA175) exam.
  • Check out our Hadoop Training route to discover ways to skip the CCA175 exam's Hadoop aspect.
  • The whole route is designed through enterprise professionals to assist specialists land pinnacle jobs withinside high-quality companies.
  • The whole Training consists of notably precious real-global initiatives and case studies.
  • After finishing the Training, you may be given quizzes that will help you put together for and by skipping the CCA175 certification exam.
  • After correctly finishing the undertaking paintings and having them reviewed through professionals, the Intellipaat certification is awarded.
  • The Intellipaat certification is identified through a number of the globe's biggest corporations, along with Cisco, Cognizant, Mu Sigma, TCS, Genpact, Hexaware, Sony, and Ericsson.

Career route:

  • The Apache spark profession route is decided through the enterprise and corporation that makes use of or is transitioning to the spark framework.
  • Top businesses including Alibaba, Hitachi, and others are taking the spark significantly and focusing commonly on this framework.
  • The batch jobs are commonly used to system records that have been evolved in spark, and huge records units are processed.
  • Spark builders are commonly employed through numerous sectors or industries including retail, finance, telecommunication/networking, banking, software program or IT, media, and entertainment, consulting, healthcare, manufacturing, expert, and technical services.
  • The records are commonly engaged withinside the spark framework, and movement processing necessitated good enough aid.
  • There are already a few surely suitable possibilities to be had withinside the aforementioned industries, and with withinside the destiny, it's going to simplest get higher as a spark improves productivity, time, and effort.


There is a robust correlation among specialists who use Spark and Scala and profits changes.Professionals with Apache Spark abilties added $11,000 to the median or common profits, whilst the Scala programming language added $4000 to the lowest line of an expert's profits.Apache Spark builders had been regarded to earn the best common profits of any programmer who makes use of ten of the maximum famous Hadoop improvement tools. Real-time massive records packages have become extra famous, and establishments are producing records at an unanticipated and fast rate.This is a wonderful possibility for specialists to research Apache Spark online and assist corporations to boost in complicated records analysis.

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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 San Francisco

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 Reviews

Our ACTE Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.



Best place to learn Apache Spark with Scala . I have done training from here. Nice experience.Gopal sirs teaching was awesome everyone can understand subject very easily compare from other institute faculties his teaching is very good. In ACTE institutes to learn Apache Spark with Scala technology I referred best to go for Gopal sirs class in ACTE Institute in Tambaram.


Software Engineer

I have attended for Apache Spark with Scala training . Training was really good. ACTE Trainer Vinod explained the topics very much in details along with the real time example. Still I have zero knowledge on Apache Spark before starting the training I was able to understand the classes very well and now I am able to work on Apache Spark in real time


Software Engineer

ACTE is best institute for Apache Spark with Scala training in Velachery. The faculty explains each and every module with real time scenarios. This is the best institute for Apache Spark with Scala. Thanks a lot…


"I would like to recommend to the learners who wants to be an expert on Apache Spark with Scala just one place i.e., ACTE. After several research with several Training Institutes I ended up with ACTE. My Apache Spark with Scala trainer was so helpful in replying, solving the issues and Explanations are clean, clear, easy to understand the concepts and it is one of the Best Training Institute for Apache Spark with Scala Training"


Software Testing

I joined in ACTE omr for Apache Spark with Scala course here without any basic knowledge on Big Data concepts.Now i can say this is the Best Apache Spark with Scala training institute in chennai. Here the trainers provide you complete knowledge on each course with Real- time scenarios, project, case studies, Interview questions and all possible ways to make you a successful Professional.

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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 India & 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 India 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 India
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