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Apache Spark with Scala Training in Dubai

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  • Beginner & Advanced level Classes.
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    Have Cracked Their Dream Job in Top MNC Companies

    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

    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 Dubai

    Apache Spark Training in Dubai enables you to master real-time data processing by utilising the libraries Spark streaming, Spark SQL, Spark RDD, and Spark Machine Learning (Spark MLlib). In this Spark and Scala course, you will learn Spark and Scala programming as well as work on three real-world use cases.It will also cover fundamental concepts like data capture with Flume, data loading with Sqoop, messaging systems like Kafka, and so on.The Apache Spark and Scala Certification Training Course provides you with hands-on experience developing Spark applications using Scala programming.

    It provides a clear comparison of Spark and Hadoop. The course teaches you how to use Spark RDDs to improve application performance and enable high-speed processing, as well as how to customise Spark using Scala.The Apache Spark Certification Training Course is designed to give you the knowledge and skills you need to become a successful Big Data & Spark Developer. This training will assist you in passing the CCA Spark and Hadoop Developer (CCA175) exam.


    Additional Info

    Introduction:

    Top industry experts curate the Apache Spark and Scala certification in Dubai. This Apache Spark training is designed to assist you in mastering Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, and Spark MLlib. This Apache Spark training is live, instructor-led, and hands-on, and will help you master key Apache Spark concepts. This Apache Spark course is completely immersive, allowing you to learn and interact with the instructor as well as your peers. Enroll in this Scala online training right now.

    You will be familiar with the fundamentals of Big Data and Hadoop. You will discover how Spark enables in-memory data processing and outperforms Hadoop MapReduce. You will also learn about RDDs, Spark SQL for structured processing, and the various Spark APIs such as Spark Streaming and Spark MLlib. This Scala online course is an essential part of the career path of a Big Data Developer.


    Certification:

    • The training is intended to assist you in becoming a successful Spark developer.
    • Our expert instructors will teach you how to do the following during this course:

    • To create a Spark application, write Scala programmes. Learn the fundamentals of HDFS.
    • Understand the Architecture of Hadoop 2.x Recognize Spark and its Ecosystem Spark operations should be implemented using Spark Shell.
    • Use YARN to run Spark applications (Hadoop) Create Spark applications that make use of Spark RDD concepts.
    • Learn how to use Sqoop for data ingestion. Use Spark SQL to run SQL queries.
    • Use the Apache Spark in Dubai MLlib API and Clustering to implement various machine learning algorithms.
    • Describe Kafka and its components. Learn about Flume and its components.
    • IntegrateKafka in conjunction with real-time streaming systems such as Flume Messages can be produced and consumed using Kafka.
    • Spark Streaming Application Development Process Multiple Batches in Spark Streaming Implement various streaming data sources.

    The following are the goals of our Apache Spark Course:

    • Spark Certification Training was created by industry experts to prepare you to become a Certified Spark Developer.
    • The Apache Spark Scala Course includes the following features:

    • A high-level overview of Big Data and Hadoop, including HDFS (Hadoop Distributed File System) and YARN (Yet Another Resource Negotiator).
    • Comprehensive understanding of various Spark Ecosystem tools such as Spark SQL, Spark MlLib, Sqoop, Kafka, Flume, and Spark Streaming.
    • The ability to ingest data into HDFS using Sqoop and Flume, as well as analyse large datasets stored in HDFS.
    • The ability to handle real-time data feeds using a publish-subscribe messaging system such as Kafka.
    • The opportunity to work on a variety of real-world industry projects that will be carried out using Edureka's CloudLab.
    • Projects ranging in scope from banking to telecommunications to social media to government.
    • Participation of a subject matter expert (SME) throughout the Spark Training to learn industry standards and best practises.

    Who can Learn:

      What prerequisites are there for this Spark course?

    • This Apache Spark and Scala certification training has no prerequisites.
    • Basic database, SQL, and query language knowledge, on the other hand, can aid in learning Spark and Scala.
    • Why should you take this Apache Spark training?

    • Apache Spark is a free and open-source computing framework that is 100 times faster than MapReduce.
    • Spark is a different type of data processing that is unique in batch processing and streaming.
    • This is a comprehensive course for advanced Scala implementation.
    • It assists you in preparing for the Cloudera Hadoop Developer and Spark Professional Certifications.
    • Improve your resume's professional credibility so that you can be hired faster and for a higher salary.
    • Who should enrol in the Spark Scala course?

    • Software Engineers who want to improve their Big Data skills.
    • ETL Developers and Data Engineers.
    • Data Scientists and Analytics Experts.
    • Graduates interested in a career in Big Data.

    Roles and responsibilties:

    • Scala is used to design, develop, and maintain applications.
    • In charge of all architectural development activities related to the application.
    • Write code in accordance with the app's specifications.
    • Perform a software analysis.
    • Work as a member of a software development team to ensure that the application meets specifications.
    • Application testing and debugging.
    • Make suggestions for improvements to application processes and infrastructure.
    • Effectively collaborate across teams.
    • Contribute to the enhancement of team performance.
    • Process of developing a document.

    Skills Covered in this Course:

    • Scala proficiency.
    • Knowledge of other object-oriented programming languages, such as Java and Python.
    • Technical abilities that are exceptional.
    • familiarity with object-oriented programming concepts and patterns.
    • Basic understanding of Spark, Hadoop, and MapReduce.
    • Experience with ETL architecture, as well as cloud platforms such as AWS.
    • A thorough understanding of software development methodologies is required.
    • Excellent communication abilities.
    • Strong analytical skills and the ability to present information concisely and clearly.

    Advantages of Apache Spark in Dubai:

      1. Quickness:

    • When it comes to Big Data, processing speed is everything.
    • Because of its speed, Apache Spark is extremely popular among data scientists.
    • For large-scale data processing, Spark is 100 times faster than Hadoop.
    • Apache Spark stores data in an in-memory (RAM) computing system, whereas Hadoop stores data in a local memory space.
    • Spark can process multiple petabytes of clustered data from over 8000 nodes at the same time.
    • 2. Usability:

    • Apache Spark in Dubai provides simple APIs for working with large datasets.
    • It includes over 80 high-level operators that make it simple to create parallel apps.
    • 3. Analytical Advances:

    • Spark doesn't just support 'MAP' and'reduce.'
    • It also supports machine learning (ML), graph algorithms, streaming data, SQL queries, and other advanced features.
    • 4. Nature is dynamic:

    • You can easily create parallel applications with Apache Spark. Spark provides over 80 high-level operators.
    • 5. Bilingualism:

    • Python, Java, Scala, and other programming languages are supported by Apache Spark.
    • 6. Apache Spark is a powerful tool:

    • Because of its low-latency in-memory data processing capability, Apache Spark can handle a wide range of analytics challenges.
    • It includes well-designed libraries for graph analytics algorithms and machine learning.
    • 7. Expanded access to Big Data:

    • Apache Spark is expanding the possibilities for big data and making it more accessible.
    • According to a recent survey, IBM announced that it will educate over 1 million data engineers and data scientists on Apache Spark.
    • 8. Spark Developers are in high demand:

    • Apache Spark benefits not only your organisation, but also you.
    • Spark developers are in such high demand that companies are offering attractive benefits and flexible work schedules to hire experts skilled in Apache Spark.
    • The average salary for a Data Engineer with Apache Spark skills is $100,362, according to PayScale.
    • People interested in a career in big data technology can learn Apache Spark.
    • There are several ways to bridge the skills gap for data-related jobs, but the best way is to take formal training that will provide you with hands-on work experience as well as learning through hands-on projects.
    • 9. Community of open-source developers:

    • The best thing about Apache Spark is that it is supported by a large Open-source community.

    Career path:

    • The Apache spark in Dubai career path is determined by the industry and organisation that uses or is transitioning to the spark framework.
    • Top companies such as Alibaba, Hitachi, and others are taking the spark seriously and focusing primarily on this framework.
    • The batch jobs are primarily used to process data that has been developed in spark, and large data sets are processed.
    • Spark developers are primarily hired by various sectors or industries such as retail, finance, telecommunication/networking, banking, software or IT, media and entertainment, consulting, healthcare, manufacturing, professional and technical services.

    Payscale of Apache Spark Course:

    • The salary structure for a Apache spark in Dubai skill computer programmer is the same as that of a big data developer or engineer.
    • The average salary or range for a spark developer ranged from $95,000 to $100,000 per year, depending on skill and experience.
    • The senior engineer role in this technology pays well, ranging from 135k USD to 145k USD per year.
    • Big data professionals typically earn around $120,000 USD per year.
    • Spark developers or programmers earn significantly more than other programmers or professionals.
    • The salary of a data engineer is expected to be around 105k USD per year, while that of a data scientist is expected to be around 115k USD per year.
    • The salary data is the primary foundation of the survey conducted by the engineer or the organisation.
    • Spark developers' salaries are expected to rise because the company is new, there are fewer people, and the demand for these developers is growing all the time.
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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 Dubai

    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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    Need customized curriculum?

    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 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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