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Apache Spark with Scala Training in Seattle

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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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Upcoming Batches

01-Apr-2024
Mon-Fri

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08:00 AM & 10:00 AM Batches

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

27-Mar-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

30-Mar-2024
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

30-Mar-2024
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(09:00 AM - 02:00 PM)

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

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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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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 with Scala Training in Seattle

Apache Spark with Scala Training in Seattle tells you the best way to use the Sparkle streaming, SQL, RDD, and AI libraries to deal with consistent data (Spark MLlib). You will learn Sparkle and Scala programming similarly as work on three veritable use cases in this Spark and Scala course. The Apache Spark and Scala Affirmation Instructional class give you dynamic experience making Sparkle applications in Scala. It gives an immediate connection between Spark and Hadoop. The course will tell you the best way to use Spark RDDs to additionally foster application execution and enable high speed taking care of, similarly as how to modify Sparkle with Scala.

 

Additional Info

Introduction To Apache Spark with Scala:

This Apache Spark course in Seattle will show you the essentials of the Apache Sparkle open-source structure and the Scala programming language, including Spark Streaming, Spark SQL, AI programming, GraphX programming, and Shell Prearranging Sparkle. You will moreover understand Spark's part in overcoming the hindrances of MapReduce. The Apache Sparkle Accreditation Instructional class is relied upon to give you the data and capacities imperative to transform into a productive Enormous Information and Spark Engineer. This course will help you with passing the CCA Spark and Hadoop Designer (CCA175) exam.

You will understand the essentials of Huge Information and Hadoop. You'll sort out how Spark supports in-memory data taking care of and beats Hadoop MapReduce. You'll in like manner discover concerning RDDs, Sparkle SQL for coordinated Training Of Apache Spark with Scala Training in Seattle, and Spark APIs like Spark Streaming and Spark MLlib. This Scala online course is a principal piece of a Major Information Engineer's job path.

Career Path In Apache Spark with Scala:

  • The industry and affiliation that usages or are changing to the glimmer framework choose the Apache shimmer calling path.
  • Top associations like Alibaba, Hitachi, and others are treating the glimmer truly and zeroing in their undertakings basically on this framework.
  • Batch occupations are basically used to manage data made in the streak, and enormous educational lists are processed.
  • Spark engineers are fundamentally used in an arrangement of regions or organizations, including retail, finance, broadcast correspondences/putting together, banking, programming or IT, media and redirection, advising, clinical consideration, gathering, capable and specific services.
  • The data is generally drawn in with the glimmer construction, and stream taking care of required good support.
  • There are presently some incredible possibilities open in the recently referenced endeavors, and they will simply chip away at in the future as a radiance further creates effectiveness, time, and effort.

Modules Of Spark:

  • Spark Core
  • Spark SQL
  • Spark Streaming
  • Spark MLlib
  • Spark GraphX
  • Sparkle Core :

    In this part of the Apache Spark Tutorial, you will learn various ideas of the Spark Core library with models in Scala code. Sparkle Core is the really base library of the Spark which gives the reflection of how conveyed task dispatching, booking, fundamental I/O functionalities, and so forth .

    SparkSession :

    SparkSession presented in adaptation 2.0, It is a passage highlight hidden Spark usefulness to automatically utilize Spark RDD, DataFrame and Dataset. Its item flash is default accessible in sparkle shell. Making a SparkSession occasion would be the primary assertion you would write to program with RDD, DataFrame, and Dataset.

    Flash Context :

    SparkContext is accessible since Spark 1.x (JavaSparkContext for Java) and is utilized to be a section highlight Spark and PySpark prior to presenting SparkSession in 2.0. Making SparkContext was the initial step to the program with RDD and to associate with Spark Cluster. It's article sc of course accessible in sparkle shell.

Industry Developments Of Apache Spark with Scala:

    1. Obviously suitable for IoT deployment:

    Spark's ability to manage various assessment endeavors all the while can help with driving your association's consideration on the Web of Things. This is refined by utilizing all-around made ML libraries, advanced diagram examination estimations, and low-dormancy in-memory data handling.

    2. Assists with overhauling business decisions:

    Spark can explore low lethargy data sent as constant streams by IoT sensors. To inspect potential improvements, dashboards that catch and show data consistently can be created.

    3. It Is Easy to Make Complex Workflows:

    Spark fuses verifiable level libraries for outline assessment, SQL request making, AI, and data streaming. As a result, complex huge data logical work cycles can be easily made with irrelevant coding.

    4. Making Prototyping Arrangements More Convenient:

    As an Information Researcher, you can utilize Scala's altering straightforwardness and Spark's design to make model game plans that give illuminating pieces of information into the canny model.

    5. Works with decentralized data processing:

    Fog enlisting will procure traction in the coming decade, enhancing IoT to engage decentralized data preparing. You can prepare for future progressions that require a ton of spread data to be researched by learning Spark. You can moreover use IoT to make dazzling applications that smooth out business processes.

    6. Similitude with Hadoop:

    To supplement Hadoop, Sparkle can run on top of HDFS (Hadoop Appropriated Record System). There is no convincing motivation to spend additional money on the Sparkle system if your relationship at this point has a Hadoop bunch. Spark can be cost-effectively sent on Hadoop data and clusters.

    Benefits of this Apache Spark Training:

    • To work on your induction to Enormous Information, learn Apache Spark.
    • Spark Designers are well known in businesses.
    • With an Apache Spark with Scala testament, you will get basically $100,000.
    • You will get the opportunity to work in a grouping of adventures since Apache Sparkle is used by every industry to remove colossal proportions of data.
    • It is practical with a wide extent of programming tongues, including Java, R, Scala, and Python.
    • Spark relies upon the Hadoop Disseminated Document Framework, which enhances fuse with Hadoop.
    • It enables faster and more exact steady data stream processing.
    • Spark code can be used to perform bundle Training Of Apache Spark with Scala Training in Seattle, join a stream to evident data, and run extraordinarily designated requests on stream statistics.

    Spark attestation on a scale:

    • This course is expected to prepare understudies to take the Cloudera Sparkle and Hadoop Engineer Certificate (CCA175) test, which joins the Apache Spark component.
    • Check out our Hadoop educational class to sort out some way to pass the Hadoop part of the CCA175 exam.
    • The entire course was made by industry experts to help specialists in getting top circumstances in the best organizations.
    • The entire course consolidates amazingly profitable authentic exercises and case studies.
    • Following the culmination of the arrangement, you will be offered tests to help you in anticipating and passing the CCA175 testament exam.
    • The Intellipaat accreditation is allowed after adequately doing the job work and having it studied by experts.
    • Some of the world's greatest associations, including Cisco, Discerning, Mu Sigma, TCS, Genpact, Hexaware, Sony, and Ericsson, see the Intellipaat certification.

    Who is able to start Apache Spark with Scala Course?

    1. Programming in Scala and Apache Spark.

    2. Apache Spark and Hadoop are not the comparable thing.

    3. Scala and its programming implementation.

    4. Adding Spark to a cluster.

    5. Streak applications are written in Python, Java, and Scala.

    6. RDD and its action, similarly to the execution of the Spark algorithm.

    7. Describing and fostering Spark streaming.

    8. Model planning is done using Scala classes.

    9. Scala-Java interoperability, similarly as other Scala operations.

    10. Managing Scala projects for Sparkle applications.

    Essentials Of Apache Spark with Scala:

    • There are no necessities for this Apache Sparkle and Scala declaration training.

    • Information on key informational collections, SQL, and question vernaculars, of course, can help with learning Sparkle and Scala.

    Why Apache Sparkle :

    • Apache Sparkle is a free and open-source figuring framework that outmaneuvers MapReduce by a factor of 100.

    • Spark is a data Training Of Apache Spark with Scala Training in Seattle method that differentiations from cluster taking care of and streaming.

    • This is a broad Scala course for forefront implementation.

    • It will help you with preparing for the Cloudera Hadoop Engineer and Sparkle Proficient Certifications.

    • Work on the master authenticity of your resume with the objective that you can be enlisted quickly and for a high salary.

    Payscale Of Apache Sparkle Experts:

    There is a strong association among's Sparkle and Scala customers and pay changes. Experts with Apache Sparkle capacities extended their center or ordinary remuneration by $157,500, while the Scala programming language extended their essential worry by $91,5000. Apache Spark designers have the most vital typical pay of any engineers who use ten of the most notable Hadoop improvement devices. Ongoing huge data applications are ending up being more renowned with $106,000, and associations are making data at an uncommon and quick rate. This is an extraordinary opportunity for specialists to learn Apache Sparkle on the web and help associations in advancing in complex data examination.

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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 Seattle

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

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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.

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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