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Apache Spark with Scala Training in Fremont

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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.
  • Next Apache Spark with Scala Batch to Begin this week – Enroll Your Name Now!

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29-Apr-2024
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08:00 AM & 10:00 AM Batches

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

24-Apr-2024
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(Class 1Hr - 1:30Hrs) / Per Session

27-Apr-2024
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27-Apr-2024
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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.
  • START YOUR CAREER WITH Apache Spark with Scala CERTIFICATION COURSE THAT GETS YOU A JOB OF UPTO 6 TO 14 LACS IN JUST 70 DAYS!
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  • One To One 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 Sparkle with Scala Certification Training in Fremont

Apache Spark is a distributed processing engine that is open source and used for big data applications. For quick analytic queries against any size of data, it uses in-memory caching and efficient query execution. It offers code reuse across many workloads, including batch processing, interactive queries, real-time analytics, machine learning, and graph processing, and provides development APIs in Java, Scala, Python, and R. It is used by businesses across the board, including FINRA, Yelp, Zillow, DataXu, Urban Institute, and CrowdStrike. With 365,000 meetup members in 2017, Apache Spark has become one of the most popular big data distributed processing frameworks.

Flash preparing shows you how to deal with constant information utilizing the Sparkle streaming, Scala, RDD, and AI libraries (Flash MLlib). In this Flash and Scala course, you will learn Sparkle and Scala programming just as work on three true use cases. The Apache Sparkle and Scala Affirmation Instructional class furnish you with involved experience creating Sparkle applications utilizing Scala programming. It gives an unmistakable correlation between Flash and Hadoop. The course shows you how to utilize Flash RDDs to further develop application execution and empower fast preparation , just as how to alter Sparkle utilizing Scala.



Additional Info

Introduction:

This Sparkle course shows you the basics of the Apache Flash open-source structure and Scala programming language, like Sparkle Streaming, Sparkle Scala, AI programming, GraphX programming, and Shell Prearranging Flash. You will likewise fathom Flash's job in defeating MapReduce's limitations. The Apache Sparkle Affirmation Instructional class is intended to give you the information and abilities you need to turn into a fruitful Enormous Information and Sparkle Engineer. This preparation will help you in passing the CCA Sparkle and Hadoop Engineer (CCA175) exam.

You will be comfortable with the essentials of Enormous Information and Hadoop. You will find how Sparkle empowers in-memory information preparing and outflanks Hadoop MapReduce. You will likewise find out with regards to RDDs, Sparkle Scala for organized handling, and the different Flash APIs like Sparkle Streaming and Flash MLlib. This Scala online course is a fundamental piece of the vocation way of a Major Information Developer.

Certification of Flash with scale:

  • This course is planned to get ready understudies to pass the Apache Flash part of the Cloudera Sparkle and Hadoop Engineer Confirmation (CCA175) exam.
  • Check out our Hadoop instructional class to figure out how to breeze through the CCA175 test's Hadoop component.
  • The whole course is planned by industry specialists to assist experts with finding top positions in the best organizations.
  • The whole preparation incorporates exceptionally significant certifiable ventures and case studies.
  • After finishing the preparation, you will be offered tests to assist you with getting ready for and pass the CCA175 affirmation exam.
  • After effectively finishing the task work and having it evaluated by specialists, the Intellipaat confirmation is awarded.
  • The Intellipaat confirmation is perceived by a portion of the world's biggest partnerships, including Cisco, Discerning, Mu Sigma, TCS, Genpact, Hexaware, Sony, and Ericsson.
  • Who can Start:

      What will you learn in this web-based Sparkle training?

    • Scala and Apache Sparkle programming.
    • There is a differentiation between Apache Sparkle and Hadoop.
    • Scala, just as its programming implementation.
    • Putting Sparkle on a cluster.
    • Python, Java, and Scala are utilized to make Sparkle applications.
    • RDD and its activity, just as Sparkle calculation implementation.
    • Defining and explaining on Sparkle streaming.
    • Scala classes are utilized to execute design matching.
    • Interoperability among Scala and Java, just as other Scala operations.
    • Working on Scala projects that will run on Flash applications.
    • What requirements are there for this Flash course?

    • This Apache Sparkle and Scala confirmation preparing has no essentials.
    • Basic information base, Scala, and inquiry language information, then again, can support learning Flash and Scala.
    • Why should you take this Apache Sparkle training?

    • Apache Sparkle is a free and open-source figuring system that is multiple times quicker than MapReduce.
    • Spark is elective information preparing technique that is unmistakable in cluster handling and streaming.
    • This is an exhaustive Scala course for cutting edge implementation.
    • It helps you in getting ready for the Cloudera Hadoop Designer and Flash Proficient Certifications.
    • Improve your resume's proficient believability so you can be employed rapidly and for a high salary.

    Advantages of this Online Course:

    • Learn Apache Flash to work on your admittance to Huge Data.
    • Spark Designers are sought after across organisations.
    • You will procure at least $100,000 with an Apache Flash with Scala certification.
    • Because Apache Flash is utilized by each industry to extricate huge measures of information, you will have the chance to work in an assortment of industries.
    • It upholds an assortment of programming dialects, including Java, R, Scala, and Python.
    • Spark is based on the Hadoop Dispersed Document Framework, which makes reconciliation with Hadoop easier.
    • It empowers quicker and more precise ongoing handling of information streams.
    • Spark code can be utilized for bunch preparing, joining a stream to chronicled information, and running impromptu questions on stream statistics.

    Industry Trends of Apache Spark with Scala Course:

      1. Undeniably appropriate for IoT implementation:

    • If your organization is zeroing in on the Web of Things, Sparkle's capacity to deal with numerous examination errands simultaneously can help drive it.
    • This is refined using very much created ML libraries, progressed calculations for chart investigation, and low-inertness in-memory information processing.
    • 2. Helps in the streamlining of business decisions:

      Spark can dissect low dormancy information communicated by IoT sensors as constant streams. Dashboards that catch and show information continuously can be made to research potential improvements.

      3. Complex Work processes Can Be Effectively Created:

    • Spark has significant level libraries for dissecting diagrams, composing Scala inquiries, AI, and information streaming.
    • As an outcome, you can without much of a stretch make complex huge information logical work processes with insignificant coding.
    • 4. Making Prototyping Arrangements Easier:

      As an Information Researcher, you can utilize Scala's customizing straightforwardness and Sparkle's system to make model arrangements that give enlightening experiences into the scientific model.

      5. Helps in decentralized information processing:

    • In the coming decade, haze registering will acquire footing and supplement IoT to empower decentralized information processing.
    • By learning Sparkle, you can be prepared for future innovations that require a lot of appropriated information to be analysed.
    • You can likewise make exquisite IoT-controlled applications to smooth out business processes.
    • 6. Hadoop compatibility:

    • Spark can run on top of HDFS (Hadoop Disseminated Record Framework) to enhance Hadoop.
    • If your association as of now has a Hadoop bunch, there is no compelling reason to spend extra cash on setting up Flash foundation.
    • Spark can be sent on Hadoop's information and bunches in a savvy manner.

    Spark has the accompanying features:

    • Processing is lightning fast.
    • Support for Cutting edge Analytics.
    • Stream Preparing in Genuine Time.
    • Integration with Hadoop and Existing Hadoop Data.
    • Community that is dynamic and growing.

    Roles and Responsibility:

      In case you're considering turning into a Structured Query Language designer course (Scala — at times articulated "spin-off"), this present time is an extraordinary opportunity to take the action. These experts are sought after as organizations push to carry out their computerized change procedures and become information-driven associations.

      What precisely is a Scala engineer?

      The position expects you to configure, make and keep up with information bases. They're liable for all parts of this, including:

    • Planning data set tables and constructions
    • Making perspectives works and put away techniques
    • Composing advanced Scala questions for mix with different applications
    • Making data set triggers for use in robotization
    • Keeping up with information quality and managing data set security
    • It's a task that settles the score more intricate as data sets transform into information lakes, and you need to keep your abilities sharp. In any case, in the event that you have the right insight and certificates, managers will beat a way to your entryway.

      Here is an outline of the capacities and foundation expected to venture into the Scala information base engineer job. Database knowledge.

      When it comes to landing a top Scala database developer job, specialization is typically essential. Oracle is still the most common database environment in the world, owing to its capability for larger data structures.

      MyScala, an open-source database, is widely used in web development, but many other firms choose to work with Microsoft Scala Server. Rather than dabbling in numerous database environments, aim to become an expert in one.

      You'll require hands-on expertise with production training databases as a Scala developer. You should be able to do the following:

      • Create database structures that are efficient.
      • Create efficient queries, views, and triggers for use in other applications.
      • Maintain high data quality and integrity requirements.
      • Understand networking performance and security issues.

    Career path:

    • The Apache sparkle profession way is controlled by the business and association that utilizations or is progressing to the flash system.
    • Top organizations like Alibaba, Hitachi, and others are approaching the sparkle in a serious way and zeroing in principally on this system.
    • The group occupations are essentially used to deal with information that has been created in sparkle, and enormous informational collections are processed.
    • Spark designers are principally employed by different areas or enterprises like retail, finance, telecom/organizing, banking, programming or IT, media and amusement, counseling, medical care, assembling, proficient and specialized services.
    • The information is essentially occupied with the flash structure, and stream preparing required satisfactory help.
    • There are now some great open doors accessible in the previously mentioned businesses, and later on, it will just improve as a flash further develops usefulness, time, and effort.

    Payscale:

    1. There is a solid connection between's experts who use Sparkle and Scala and compensation changes.

    2. Experts with Apache Flash abilities added $11,000 to the middle or normal compensation, while the Scala programming language added $4000 to the main concern of an expert's salary.

    3. Apache Sparkle designers have been known to acquire the most noteworthy normal compensation of any software engineers who utilize ten of the most famous Hadoop advancement tools.

    4. Continuous enormous information applications are turning out to be more well known, and endeavors are producing information at an unexpected and fast rate.

    5. This is a fantastic open door for experts to learn Apache Flash on the web and assist organizations with progressing in complex information 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.

 

Curriculum

Syllabus of Apache Spark with Scala Course in Fremont

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

Get Certified

a physical version of your officially branded and security-marked Certificate.

Get Certified

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.

Priya

Student

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.

Balaji

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

Venkat

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…

Sowmiya

"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"

Lawvanya

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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