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Apache Spark with Scala Training in Sydney

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  • 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.
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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 Sydney

Advance your mastery of Apache Spark with Scala with ACTE Apache Scala and Spark certification online training in Sydney. This Spark route will help you may acquire crucial, in-name Apache Spark competencies and make bigger a competitive benefit for an exciting career as a Spark Developer. This Spark certification schooling lets you understand the essential competencies of the Apache Spark open-deliver framework and Scala programming language, collectively with Spark Streaming, Spark SQL, device analyzing programming, GraphX programming, and Shell Scripting Spark. You may even apprehend the feature of Spark in overcoming the restrictions of MapReduce.


Additional Info

Introduction Of Apache Spark with Scala certification :

EligibilityThis Spark certification schooling route is right for specialists aspiring for a career withinside the situation of real-time big data analytics, analytics specialists, research specialists, IT developers and testers, data scientists, BI and reporting specialists, and college students who want to gain from the extensive know-how of Apache Spark.

Pre-requisitesThose wishing to take the Apache Spark certification schooling route ought to have important data of any programming language and easy know-how of any database, SQL, and query language for databases. Working data of Linux- or Unix-based totally systems is also beneficial.

What Are Apache Spark and Scala All About ?

  • Big Data and Analytics are transforming the way agencies make informed market-oriented decisions, craft strategies that specialize in patron segments that is probably optimally promising, and live blanketed from market quirks and economic volatilities. These abilities are impacted with the useful resource of the use of mining records that are locked in big data volumes generated online or from one-of-a-kind associated assets.
  • Apart from facilitating seamless programming for data clusters, Spark moreover offers the proper tolerance for faults and data parallelism. This method that big datasets can be processed right away with the useful resource of the use of this open deliver the platform. Apache Spark has a place over Hadoop in terms of better and complex competencies on data dealing with, storing, assessing, and retrieving fronts. Spark framework comes covered with modules for ML (Machine Learning), real-time data streaming, textual and batch data, graphics, etc., which makes it fine for one-of-a-type corporation verticals.
  • Scala or Scalable Language is a general-reason object-oriented language with which Spark is written for assisting cluster computing. Scala offers useful resources with immutability, type interference, lazy assessment, pattern matching, and one-of-a-kind features. Features absent in Java which encompass operator overloading, named parameters, no checked exceptions, etc. are also furnished with the useful resource of the use of Scala.

Career Path Of Apache Spark Online Training in Sydney:

    1. Objective – Spark Careers:

    As each person knows, big data analytics have a glowing new face, Apache Spark. Spark’s significance and percent are continuously developing during businesses. Hence, there are sufficient expert opportunities in spark. In this blog “Apache Spark Careers Opportunity: A Quick Guide” we will communicate the same. We may even communicate a few names of top companies which are using a spark. We will moreover communicate the method titles for that era.

    2. Apache Spark Careers Opportunity:

    In the entire world, Developers are leveraging the Spark framework in one-of-a-type languages. Such as Scala, Java, and Python. Apache Spark offers the ability to run packages in their preferred languages. Also allows building new apps faster. Around the globe, some big businesses have taken spark very seriously. Some well-known companies like Amazon, Yahoo, Alibaba, eBay, Hitachi, Shopify, and lots more. They have invested in abilities around Spark. There are some ratios, in which jobs are available, which encompass withinside the batch processing of big data sets, 78% of them are engaged. Also, for event flow into processing 60% is required as a useful resource. Moreover, at enhancing programming productivity 55% are aiming. Furthermore, there are some huge opportunities during corporation segments, that includes Professional clinical and technical services.

  • Telecommunication/Networking.
  • Banking and Finance.
  • Retail.
  • Software.
  • Media and Entertainment.
  • Consulting.
  • Healthcare.
  • Manufacturing.
  • IT.
  • 3. Top Companies Using Spark:

    Apache Spark is considered as a 3G for the Big Data world. It offers an in-memory data processing detail that attends to real-time and batch actions. Moreover, it gives a flavor for the cloud corporation with or without Hadoop.

    4. Prerequisites to examine Spark:

    There's the handiest one who desires to gain know-how in running with Spark device. That one desires is to apprehend easy programming language concepts. Moreover, you need to have easy insights into Java programming.

    5. Benefit of Learning Spark:

    Recently, in each sector, there is a strong desire to have a technical workforce. There's a huge name for expert specialists. Since there are surplus big data jobs withinside the market.

Top 9 Benefits Of Learning Apache Spark and Scala Certification Course :

The data era offers unheard-of scope if you want to scale new heights in your career. Also, as part of a corporation, if you are strategizing on cornering your vicinity of the hobby market, you need to get centered insights into how the market is changing. With Apache Spark and Scala schooling, you can come to be talented in analyzing patterns and making conclusive fact-driven assumptions. There are many incentives for analyzing this framework-language mixture as an aspirant or with the useful resource of the use of exposing your corporation’s decided on employees to this.

Ideal for Implementing IoT:

If your enterprise is focusing on the Internet of Things, Spark can pressure it through its capability of dealing with many analytics responsibilities concurrently. This is finished through well-superior libraries for ML, advanced algorithms for analyzing graphs, and in-memory processing of data at low latency.

Helps in Optimizing Business Decision Making:

Low latency data transmitted with the useful resource of the use of IoT sensors can be analyzed as non-forestall streams with the useful resource of the use of Spark. Dashboards that capture and display data in real-time can be created for exploring improvement avenues.

Complex Workflows Can Be Created with Ease:

Spark has devoted high-degree libraries for analyzing graphs, developing queries in SQL, ML, and data streaming. As such, you can create complex big data-analytical workflows efficiently through minimal coding.

Prototyping Solutions Becomes Easier:

As a Data Scientist, you can employ Scala’s ease of programming and Spark’s framework for developing prototype solutions that offer enlightening insights into the analytical model.

Helps in De-Centralized Processing of Data:

In the upcoming decade, Fog computing may gain steam and will complement IoT to facilitate de-centralized processing of data. By analyzing Spark, you can live prepared for the upcoming era wherein big volumes of distributed data will need to be analyzed. You can also devise elegant IoT-driven packages to streamline corporation functions.

Compatibility with Hadoop:

Spark can characteristic atop HDFS (Hadoop Distributed File System) and can complement Hadoop. Your corporation desires now not to spend furthermore on installing location Spark infrastructure if the Hadoop cluster is present. Cost-effectively, Spark can be deployed on Hadoop’s data and cluster.

Versatile Framework:

Spark is well-matched with multiple programming languages which encompass R, Java, Python, etc. This method that Spark can be used for building Agile packages without troubles with minimal coding. The Spark and Scala online community can be very colorful with numerous programmers contributing to it. You can get all the required assets from the community for the use of your plans.

Faster Than Hadoop

If your corporation is looking to enhance data processing speeds for making faster decisions, Spark can surely offer a prime vicinity. Data is cyclically processed in Spark and the execution engine shares data in memory. Support for Directed Acyclic Graph (DAG) mechanism allows Spark engine to method simultaneous jobs with the same datasets. Data is processed with the useful resource of the use of the Spark engine 100x quicker compared to Hadoop MapReduce.

Proficiency Enhancer

If you examine Spark and Scala, you can come to be talented in leveraging the power of diverse data structures as Spark can gaining access to Tachyon, Hive, HBase, Hadoop, Cassandra, and others. Spark can be deployed over YARN or some other distributed framework further to on a standalone server.

How Scala is applied in Spark Certificationm Course?

Scala can help you add new operations to modern commands with the help of implicit commands. One of the blessings of Scala is that it makes it very easy to have interact with Java code. You can also write a Java code inner the Scala class. The Scala enables advanced detail architectures through commands and traits.

Scala is a beneficial language:

Scala is a programming language that has carried out important beneficial programming concepts. In Functional programming, every computation is handled as a mathematical characteristic that avoids states and mutable data.

Salary Of Apache Spark with Scala Certification Online Training in Sydney:

There are some, not unusualplace sales structures for “big data engineers”. They approximately range from $108,803 consistent with one year for the Developer to $143,771 consistent with one year for a senior engineer. Also, the not unusualplace sales for big data specialists is about at $ 114,000 consistent with the annum. This is about 98better than not unusualplace salaries for all method postings nationwide. The above-cited sales records come from 32,336 data points. It is straight away accrued from employees and present method commercials on indeed. In addition, from Glassdoor, the median sales for big data know-how are $ 104,850 consistent with the annum. Also, the sales of data scientists are expected to be approximately $115,000. Moreover, consistent with Forbes, the median sales for big data specialists is $ 124,000 consistent with one year.

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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.



Syllabus of Apache Spark with Scala Course in Sydney

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

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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.



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.


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


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…


"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"


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

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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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