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Apache Spark with Scala Training in Toronto

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  • Beginner & Advanced level Classes.
  • Hands-On Learning in Apache Spark with Scala.
  • Best Practice for interview Preparation Techniques in Apache Spark with Scala.
  • 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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Upcoming Batches

08- Aug - 2022
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

10- Aug - 2022
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

13- Aug - 2022
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

13- Aug - 2022
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

LEARNER CAREER OUTCOMES
62%
Started a new career after completing this course.
40%
Got a pay increase or promotion.

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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
  • Customized Training
  • Enroll Now

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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 Toronto

Spark training teaches you how to use the Spark streaming, SQL, RDD, and Machine Learning libraries to process real-time data (Spark MLlib). You will learn Spark and Scala programming as well as work on three real-world use cases in this Spark and Scala course. The Apache Spark and Scala Certification Training Course gives you hands-on experience developing Spark applications in Scala. It provides a straightforward comparison of Spark and Hadoop. The course will teach you how to use Spark RDDs to improve application performance and enable high-speed processing, as well as how to customise Spark with Scala.

 

Additional Info

Introduction:

This Spark course will teach you the fundamentals of the Apache Spark open-source framework and the Scala programming language, including Spark Streaming, Spark SQL, machine learning programming, GraphX programming, and Shell Scripting Spark. You will also understand Spark's role in overcoming the limitations of MapReduce. The Apache Spark Certification Training Course is intended to provide you with the knowledge and skills necessary to become a successful Big Data & Spark Developer. This course will help you pass the CCA Spark and Hadoop Developer (CCA175) exam.

You will understand the fundamentals of Big Data and Hadoop. You'll learn how Spark supports in-memory data processing and outperforms Hadoop MapReduce. You'll also learn about RDDs, Spark SQL for structured processing, and Spark APIs like Spark Streaming and Spark MLlib. This Scala online course is an essential part of a Big Data Developer's career path.


Choosing a Career:

  • The industry and organisation that uses or is transitioning to the spark framework determine the Apache spark career path.
  • Top companies like Alibaba, Hitachi, and others are taking the spark seriously and concentrating their efforts primarily on this framework.
  • Batch jobs are primarily used to process data created in spark, and large data sets are processed.
  • Spark developers are primarily employed in a variety of sectors or industries, including retail, finance, telecommunications/networking, banking, software or IT, media and entertainment, consulting, healthcare, manufacturing, professional and technical services.
  • The data is mostly involved in the spark framework, and stream processing required adequate support.
  • There are already some excellent opportunities available in the aforementioned industries, and they will only improve in the future as a spark improves productivity, time, and effort.

Spark has the following characteristics:

  • The processing speed is incredible.
  • Assistance with Advanced Analytics.
  • Real-Time Stream Processing.
  • Hadoop Integration and Existing Hadoop Data.
  • A vibrant and expanding community.

Industry Developments:

    1. Ideally suited for IoT deployment:

  • Spark's ability to handle multiple analytics tasks concurrently can help drive your company's focus on the Internet of Things.
  • This is accomplished by utilising well-developed ML libraries, advanced graph analysis algorithms, and low-latency in-memory data processing.
  • 2. Assists in optimising business decisions:

  • Spark can analyse low latency data transmitted as continuous streams by IoT sensors.
  • To investigate potential improvements, dashboards that capture and display data in real time can be created.
  • 3. It Is Simple to Create Complex Workflows:

  • Spark includes high-level libraries for graph analysis, SQL query writing, machine learning, and data streaming.
  • As a result, complex big data analytical workflows can be easily created with minimal coding.
  • 4. Making Prototyping Solutions More Convenient:

  • As a Data Scientist, you can leverage Scala's programming simplicity and Spark's framework to create prototype solutions that provide illuminating insights into the analytical model.
  • 5. Facilitates decentralised data processing:

  • Fog computing will gain traction in the coming decade, complementing IoT to enable decentralised data processing.
  • You can prepare for future technologies that require large amounts of distributed data to be analysed by learning Spark.
  • You can also use IoT to create elegant applications that streamline business processes.
  • 6. Compatibility with Hadoop:

  • To supplement Hadoop, Spark can run on top of HDFS (Hadoop Distributed File System).
  • There is no need to spend additional money on Spark infrastructure if your organisation already has a Hadoop cluster.
  • Spark can be cost-effectively deployed on Hadoop data and clusters.

Benefits of this Training:

  • To improve your access to Big Data, learn Apache Spark.
  • Spark Developers are in high demand in businesses.
  • With an Apache Spark with Scala certification, you will earn a minimum of $100,000.
  • You will have the opportunity to work in a variety of industries because Apache Spark is used by every industry to extract massive amounts of data.
  • It is compatible with a wide range of programming languages, including Java, R, Scala, and Python.
  • Spark is based on the Hadoop Distributed File System, which simplifies integration with Hadoop.
  • It enables faster and more accurate real-time data stream processing.
  • Spark code can be used to perform batch processing, join a stream to historical data, and run ad hoc queries on stream statistics.

Spark certification on a scale:

  • This course is designed to prepare students to take the Cloudera Spark and Hadoop Developer Certification (CCA175) exam, which includes the Apache Spark component.
  • Check out our Hadoop training course to learn how to pass the Hadoop component of the CCA175 exam.
  • The entire course was created by industry experts to assist professionals in obtaining top positions in the best organisations.
  • The entire course includes extremely beneficial real-world projects and case studies.
  • Following completion of the training, you will be given quizzes to assist you in preparing for and passing the CCA175 certification exam.
  • The Intellipaat certification is awarded after successfully completing the project work and having it reviewed by experts.
  • Some of the world's largest corporations, including Cisco, Cognizant, Mu Sigma, TCS, Genpact, Hexaware, Sony, and Ericsson, recognise the Intellipaat certification.

Who is eligible to begin:

What will you learn in this Spark online training?

1. Programming in Scala and Apache Spark.

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

3. Scala and its programming implementation.

4. Adding Spark to a cluster.

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

6. RDD and its operation, as well as the implementation of the Spark algorithm.

7. Defining and expanding on the concept of Spark streaming.

8. Pattern matching is implemented using Scala classes.

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

10. Working on Scala projects for Spark applications.

What are the prerequisites for this Spark course?

1. There are no prerequisites for this Apache Spark and Scala certification training.

2. Knowledge of basic databases, SQL, and query languages, on the other hand, can help with learning Spark and Scala.

Why should you sign up for this Apache Spark training?

1. Apache Spark is a free and open-source computing framework that outperforms MapReduce by a factor of 100.

2. Spark is a data processing method that differs from batch processing and streaming.

3. This is an all-encompassing Scala course for advanced implementation.

4. It will help you prepare for the Cloudera Hadoop Developer and Spark Professional Certifications.

5. Improve the professional credibility of your resume so that you can be hired quickly and for a high salary.


Payscale:

  • There is a strong correlation between Spark and Scala users and salary changes.
  • Professionals with Apache Spark skills increased their median or average salary by $11,000, while the Scala programming language increased their bottom line by $4000.
  • Apache Spark developers have the highest average salary of any programmers who use ten of the most popular Hadoop development tools.
  • Real-time big data applications are becoming more popular, and businesses are generating data at an unprecedented and rapid rate.
  • This is a fantastic opportunity for professionals to learn Apache Spark online and assist businesses in 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 Toronto

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.

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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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