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Apache Spark with Scala Training in London

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26-Feb-2024
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21-Feb-2024
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24-Feb-2024
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24-Feb-2024
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  • 100% Guaranteed Placement Support for Freshers & Working Professionals
  • You will not only gain knowledge of Apache Spark with Scala Certification and advanced concepts, but also gain exposure to Industry best practices
  • Experienced Trainers and Lab Facility
  • Apache Spark with Scala Professional Certification Guidance Support with Exam Dumps
  • Practical oriented / Job oriented Training. Practice on Real Time project scenarios.
  • We have designed an in-depth course so meet job requirements and criteria
  • Resume & Interviews Preparation Support
  • Concepts:Apache Spark Core, Motivation for Apache Spark, Spark Internals, RDD, SparkSQL, Spark Streaming, MLlib, and GraphX that form key constituents of the Apache Spark course.
  • START YOUR CAREER WITH Apache Spark with Scala CERTIFICATION COURSE THAT GETS YOU A JOB OF UPTO 6 TO 14 LACS IN JUST 70 DAYS!
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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 London

Flash Training Of Apache Spark with Scala in London shows you how to utilize the Sparkle streaming, SQL, RDD, and AI libraries to handle constant information (Flash MLlib). You will learn Sparkle and Scala programming just as work on three genuine use cases in this Flash and Scala course. The Apache Flash and Scala Affirmation Instructional class give you active experience creating Sparkle applications in Scala. It gives a direct correlation between Flash and Hadoop. The course will show you how to utilize Flash RDDs to further develop application execution and empower high-velocity handling, just as how to alter Sparkle with Scala.

 

Additional Info

Introduction To Apache Spark with Scala:

This Flash course will show you the basics of the Apache Sparkle open-source structure and the Scala programming language, including Flash Streaming, Flash SQL, AI programming, GraphX programming, and Shell Prearranging Sparkle. You will likewise comprehend Flash's part in defeating the impediments of MapReduce. The Apache Sparkle Accreditation Instructional class is expected to give you the information and abilities important to turn into a fruitful Enormous Information and Flash Engineer. This course will assist you with passing the CCA Flash and Hadoop Designer (CCA175) exam.

You will comprehend the basics of Huge Information and Hadoop. You'll figure out how Flash backings in-memory information handling and beats Hadoop MapReduce. You'll likewise find out with regards to RDDs, Sparkle SQL for organized Training Of Apache Spark with Scala Training in London, and Flash APIs like Flash Streaming and Flash MLlib. This Scala online course is a fundamental piece of a Major Information Engineer's vocation path.

Career Path In Apache Spark with Scala:

  • The industry and association that utilizations or is changing to the flash system decide the Apache sparkle profession path.
  • Top organizations like Alibaba, Hitachi, and others are treating the flash in a serious way and focusing their endeavors essentially on this framework.
  • Batch occupations are essentially used to deal with the information made in flash, and huge informational indexes are processed.
  • Spark engineers are basically utilized in an assortment of areas or businesses, including retail, finance, broadcast communications/organizing, banking, programming or IT, media and diversion, counseling, medical care, assembling, proficient and specialized services.
  • The information is for the most part engaged with the flash structure, and stream handling required satisfactory support.
  • There are now some phenomenal chances accessible in the previously mentioned ventures, and they will just work on in the future as a sparkle further develops efficiency, time, and effort.

Spark has the accompanying characteristics:

  • The handling speed is incredible.
  • Assistance with Cutting edge Analytics.
  • Real-Time Stream Processing.
  • Hadoop Incorporation and Existing Hadoop Data.
  • A dynamic and growing community.

Industry Developments Of Apache Spark with Scala:

    1. Undeniably appropriate for IoT deployment:

    Spark's capacity to deal with numerous examination undertakings simultaneously can assist with driving your organization's attention to the Web of Things. This is refined by using all-around created ML libraries, progressed chart investigation calculations, and low-inertness in-memory information processing.

    2. Helps with upgrading business decisions:

    Spark can investigate low dormancy information sent as ceaseless streams by IoT sensors. To examine possible enhancements, dashboards that catch and show information continuously can be created.

    3. It Is Easy to Make Complex Workflows:

    Spark incorporates undeniable level libraries for diagram examination, SQL inquiry composing, AI, and information streaming. As an outcome, complex large information scientific work processes can be effortlessly made with insignificant coding.

    4. Making Prototyping Arrangements More Convenient:

    As an Information Researcher, you can use Scala's modifying straightforwardness and Flash's structure to make model arrangements that give enlightening bits of knowledge into the insightful model.

    5. Works with decentralized information processing:

    Fog registering will acquire a foothold in the coming decade, supplementing IoT to empower decentralized information processing. You can get ready for future advancements that require a lot of disseminated information to be investigated by learning Spark. You can likewise utilize IoT to make exquisite applications that smooth out business processes.

    6. Similarity with Hadoop:

    To supplement Hadoop, Sparkle can run on top of HDFS (Hadoop Appropriated Record System). There is no compelling reason to spend extra cash on the Sparkle framework if your association as of now has a Hadoop cluster. Spark can be cost-successfully sent on Hadoop information and clusters.

    Benefits of this Apache Spark Training:

    • To work on your admittance to Enormous Information, learn Apache Spark.
    • Spark Designers are popular in businesses.
    • With an Apache Flash with Scala certificate, you will procure at least $100,000.
    • You will have the chance to work in an assortment of ventures since Apache Sparkle is utilized by each industry to extricate enormous measures of data.
    • It is viable with a wide scope of programming dialects, including Java, R, Scala, and Python.
    • Spark depends on the Hadoop Disseminated Document Framework, which improves on incorporation with Hadoop.
    • It empowers quicker and more precise constant information stream processing.
    • Spark code can be utilized to perform bunch Training Of Apache Spark with Scala Training in London, join a stream to verifiable information, and run specially appointed inquiries on stream statistics.

    Spark affirmation on a scale:

    • This course is intended to get ready understudies to take the Cloudera Sparkle and Hadoop Engineer Certificate (CCA175) test, which incorporates the Apache Flash component.
    • Check out our Hadoop instructional class to figure out how to pass the Hadoop part of the CCA175 exam.
    • The whole course was made by industry specialists to help experts in getting top situations in the best organizations.
    • The whole course incorporates incredibly gainful certifiable activities and case studies.
    • Following consummation of the preparation, you will be offered tests to help you in planning for and passing the CCA175 certificate exam.
    • The Intellipaat accreditation is granted after effectively finishing the task work and having it surveyed by experts.
    • Some of the world's biggest organizations, including Cisco, Discerning, Mu Sigma, TCS, Genpact, Hexaware, Sony, and Ericsson, perceive the Intellipaat certification.

    Who is qualified to begin Apache Spark with Scala Course?

    1. Programming in Scala and Apache Spark.

    2. Apache Flash and Hadoop are not the equivalent thing.

    3. Scala and its programming implementation.

    4. Adding Flash to a cluster.

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

    6. RDD and its activity, just as the execution of the Flash algorithm.

    7. Characterizing and developing the idea of Flash streaming.

    8. Example coordinating is carried out utilizing Scala classes.

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

    10. Dealing with Scala projects for Sparkle applications.

    Essentials Of Apache Spark with Scala:

    • There are no requirements for this Apache Sparkle and Scala certificate training.

    • Information on fundamental data sets, SQL, and question dialects, then again, can assist with learning Sparkle and Scala.

    Why Apache Sparkle :

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

    • Flash is an information Training Of Apache Spark with Scala Training in London technique that contrasts from clump handling and streaming.

    • This is a sweeping Scala course for cutting edge implementation.

    • It will assist you with getting ready for the Cloudera Hadoop Engineer and Sparkle Proficient Certifications.

    • Work on the expert believability of your resume with the goal that you can be recruited rapidly and for a high salary.

    Payscale:

    There is a solid connection among's Sparkle and Scala clients and compensation changes. Professionals with Apache Sparkle abilities expanded their middle or normal compensation by $11,000, while the Scala programming language expanded their primary concern by $4000. Apache Flash engineers have the most noteworthy normal compensation of any developers who utilize ten of the most well-known Hadoop improvement tools. Real-time enormous information applications are turning out to be more famous, and organizations are creating information at an extraordinary and fast rate. This is a phenomenal chance for experts to learn Apache Sparkle on the web and help organizations in progress in complex information analysis.

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Key Features

ACTE offers Apache Spark with Scala Training in more than 27+ branches with expert trainers. Here are the key features,

  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.

 

Curriculum

Syllabus of Apache Spark with Scala Course in London

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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