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Apache Spark with Scala Training in Mumbai

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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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24-Jun-2024
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08:00 AM & 10:00 AM Batches

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

19-Jun-2024
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08:00 AM & 10:00 AM Batches

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

22-Jun-2024
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(10:00 AM - 01:30 PM)

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

22-Jun-2024
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(09:00 AM - 02:00 PM)

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

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Learn From Experts, Practice On Projects & Get Placed in IT Company

  • 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!
  • 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 Sparkle with Scala Certification Training in Mumbai

Apache Spark is a conveyed preparing motor that is open source and utilized for enormous information applications. For speedy scientific questions against any size of information, it utilizes in-memory reserving and proficient inquiry execution. It offers code reuse across numerous jobs, including group preparing, intuitive questions, constant investigation, AI, and chart handling, and gives advancement APIs in Java, Scala, Python, and R. It is utilized by organizations no matter how you look at it, including FINRA, Yelp, Zillow, DataXu, Urban Institute, and CrowdStrike. With 365,000 meetup individuals in 2017, Apache Spark has become quite possibly the most famous large datum circulated handling frameworks.

Flash getting ready tells you the best way to manage steady data using the Sparkle streaming, Scala, RDD, and AI libraries (Flash MLlib). In this Flash and Scala course, you will learn Sparkle and Scala programming similarly as work on three genuine use cases. The Apache Sparkle and Scala Affirmation Instructional class outfit you with involved experience making Sparkle applications using Scala programming. It gives an unquestionable connection among's Flash and Hadoop. The course tells you the best way to use Flash RDDs to additionally foster application execution and engage quick readiness , similarly as how to change Sparkle using Scala.


Additional Info

Introduction:

This Sparkle course shows you the fundamentals of the Apache Flash open-source construction and Scala programming language, similar to Sparkle Streaming, Sparkle Scala, AI programming, GraphX programming, and Shell Prearranging Flash. You will in like manner comprehend Flash's work in overcoming MapReduce's limits. The Apache Sparkle Affirmation Instructional class is expected to give you the data and capacities you need to transform into a productive Enormous Information and Sparkle Engineer. This planning will help you in passing the CCA Sparkle and Hadoop Engineer (CCA175) exam.

You will be OK with the fundamentals of Enormous Information and Hadoop. You will discover how Sparkle enables in-memory data to get ready and outmaneuvers Hadoop MapReduce. You will moreover discover concerning RDDs, Sparkle Scala for coordinated taking care of, and the diverse Flash APIs like Sparkle Streaming and Flash MLlib. This Scala online course is a crucial piece of the business method of a Major Information Developer.

Roles and Responsibility:

    In case you're thinking about transforming into a Structured Query Language creator course (Scala — now and again expressed "spin-off"), right now is a phenomenal chance to make the move. These specialists are pursued as associations push to complete their modernized change techniques and become data driven associations.

    What Scala engineer?

    The position anticipates that you should arrange, make and stay aware of data bases. They're responsible for all pieces of this, including:

  • Planning informational index tables and developments
  • Making points of view works and set aside strategies
  • Composing progressed Scala inquiries for blend in with various applications
  • Making informational index triggers for use in robotization
  • Keeping up with data quality and overseeing informational index security
  • It's an errand that doles out the retribution more complex as informational collections change into data lakes, and you need to keep your capacities sharp. Regardless, if you have the right knowledge and declarations, supervisors will beat a way to your doorway.

    Here is a layout of the limits and establishment expected to wander into the Scala data base architect work. Information base knowledge.

    When it comes to handling a top Scala information base designer work, specialization is ordinarily fundamental. Prophet is as yet the most well-known information base climate on the planet, inferable from its ability for bigger information structures.

    MyScala, an open-source data set, is broadly utilized in web improvement, yet numerous different firms decide to work with Microsoft Scala Server. Maybe than fiddling with various data set conditions, mean to turn into a specialist in one.

    You'll require active mastery with creation preparing data sets as a Scala designer. You ought to have the option to do the following:

    • Create information base constructions that are efficient.
    • Create proficient questions, perspectives, and triggers for use in other applications.
    • Maintain high information quality and honesty requirements.
    • Understand organizing execution and security issues.

    Apache Sparkle Certification:

    • This course is wanted to prepare understudies to pass the Apache Flash piece of the Cloudera Sparkle and Hadoop Engineer Confirmation (CCA175) exam.
    • Check out our Hadoop informative class to sort out some way to float through the CCA175 test's Hadoop component.
    • The entire course is arranged by industry experts to help specialists with discovering top situations in the best organizations.
    • The entire arrangement joins outstandingly critical authentic endeavors and case studies.
    • After completing the arrangement, you will be offered tests to help you with preparing for and pass the CCA175 attestation exam.
    • After successfully getting done with the job work and having it assessed by trained professionals, the Intellipaat affirmation is awarded.
    • The Intellipaat affirmation is seen by a piece of the world's greatest associations, including Cisco, Discerning, Mu Sigma, TCS, Genpact, Hexaware, Sony, and Ericsson.

      What will you learn in this online Sparkle training?

    • Scala and Apache Sparkle programming.
    • There is a separation between Apache Sparkle and Hadoop.
    • Scala, similarly as its programming implementation.
    • Putting Sparkle on a cluster.
    • Python, Java, and Scala are used to make Sparkle applications.
    • RDD and its movement, similarly as Sparkle estimation implementation.
    • Defining and clarifying on Sparkle streaming.
    • Scala classes are used to execute plan matching.
    • Interoperability among Scala and Java, similarly as other Scala operations.
    • Working on Scala projects that will run on Flash applications.
    • What prerequisites are there for this Flash course?

    • This Apache Sparkle and Scala affirmation planning have no fundamentals.
    • Basic database, Scala, and request language data, of course, can uphold learning Flash and Scala.
    • Why should you take this Apache Sparkle training?

    • Apache Sparkle is a free and open-source figuring framework that is on various occasions faster than MapReduce.
    • Spark is elective data getting a ready procedure that is obvious in bunch dealing with and streaming.
    • This is a thorough Scala course for bleeding edge implementation.
    • It helps you in preparing for the Cloudera Hadoop Designer and Flash Proficient Certifications.
    • Improve your resume's capable acceptability so you can be utilized quickly and for a high salary.

    Advantages of this Apache Sparkle:

    • Learn Apache Flash to deal with your permission to Huge Data.
    • Spark Designers are pursued across organisations.
    • You will get essentially $100,000 with an Apache Flash with Scala certification.
    • Because Apache Flash is used by every industry to remove tremendous proportions of data, you will get the opportunity to work in a combination of industries.
    • It maintains a combination of programming lingos, including Java, R, Scala, and Python.
    • Spark depends on the Hadoop Dispersed Document Framework, which makes a compromise with Hadoop easier.
    • It enables speedier and more exact continuous treatment of data streams.
    • Spark code can be used for pack getting ready, joining a stream to chronicled data, and running unrehearsed inquiries on stream statistics.

    Future Trends of Apache Spark with Scala Course:

      1. Verifiably proper for IoT implementation:

    • If your association is focusing on the Web of Things, Sparkle's ability to manage various assessment tasks at the same time can help drive it.
    • This is refined utilizing a lot of made ML libraries, advanced estimations for outline examination, and low-inactivity in-memory data processing.
    • 2. Helps in the smoothing bankrupt decisions:

      Spark can analyze low lethargy data imparted by IoT sensors as steady streams. Dashboards that catch and show data persistently can be made to investigate potential improvements.

      3. Complex Work cycles Can Be Effectively Created:

    • Spark has huge level libraries for analyzing graphs, forming Scala requests, AI, and data streaming.
    • As a result, you can without a very remarkable stretch make complex enormous data legitimate work measures with inconsequential coding.
    • 4. Making Prototyping Arrangements Easier:

      As an Information Researcher, you can use Scala's modifying straightforwardness and Sparkle's framework to make model game plans that give illuminating encounters into the logical model.

      5. Helps in decentralized data processing:

    • In the coming decade, dimness enlisting will procure balance and supplement IoT to enable decentralized data processing.
    • By learning Sparkle, you can be ready for future advancements that require a ton of appropriated data to be analyzed.
    • You can in like manner make stunning IoT-controlled applications to streamline business processes.
    • 6. Hadoop compatibility:

    • Spark can run on top of HDFS (Hadoop Disseminated Record Framework) to improve Hadoop.
    • If your relationship at this point has a Hadoop pack, there is no convincing motivation to spend additional money on setting up Flash establishment.
    • Spark can be sent on Hadoop's data and packs in an insightful manner.

    Apache Sparkle 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.

Career path:

  • The Apache shimmer calling way is constrained by the business and affiliation that usages or is advancing to the glimmer framework.
  • Top associations like Alibaba, Hitachi, and others are moving toward the radiance truly and focusing in chiefly on this framework.
  • The bunch occupations are basically used to manage data that has been made in shimmer, and colossal instructive assortments are processed.
  • Spark creators are mainly utilized by various regions or undertakings like retail, finance, telecom/coordinating, banking, programming or IT, media and delight, advising, clinical consideration, collecting, capable and particular services.
  • The data is basically busy with the blaze construction, and stream getting ready needed good support.
  • There are currently some incredible entryways available in the recently referenced organizations, and later on, it will simply improve as a blaze further creates handiness, time, and effort.

Payscale:

1. There is a strong association between's specialists who use Sparkle and Scala and remuneration changes.

2. Specialists with Apache Flash capacities added $11,000 to the center or ordinary pay, while the Scala programming language added $4000 to the fundamental worry of a specialist's salary.

3. Apache Sparkle planners have been known to secure the most imperative ordinary remuneration of any computer programmers who use ten of the most popular Hadoop headway tools.

4. Nonstop gigantic data applications are ending up being all the more notable, and tries are delivering data at a surprising and quick rate.

5. This is a fabulous entryway for specialists to learn Apache Flash on the web and help associations with advancing in complex data 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 Mumbai

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 Mumbai & 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 Mumbai 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 Mumbai
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      More Than 35% Prefer Apache. Apache Is One of the Most Popular and In-Demand Technologies in the Tech World.

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