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Apache Spark and Scala Rated 4.5/5 based on 628 customer reviews

Apache Spark and Scala Training in Melbourne, Australia

Master the concepts of the Apache Spark framework.

  • 24 hours of Instructor-led training
  • Basic to Advanced level
  • Learn by doing
Get Personalized Help for Free Enroll Now

Modes of Delivery

Key Features

24 hours of Instructor-led sessions on Apache Spark ecosystem
Immersive hands-on learning
Master the concepts of the Apache Spark framework
Learn about Apache Spark Core, Spark Internals, RDD, SparkSQL,etc
Learn to deploy Apache Spark methodologies using AWS cloud
Our Apache Spark experts will guide students in implementing the technology for future projects

Description

We are in the era of Big Data and Analytics; a technology that has radically transformed the way businesses think and operate. The ability to utilize the information locked in vast amounts of data has grown at a frenetic pace, and Hadoop has become an integral platform for handling, storing, evaluating and retrieving data for companies in a variety of applications. With the demand for big data analysts on the rise, a comprehensive Apache Spark and Scala training on this platform will ensure a rewarding career.

Apache Spark is a big data processing framework and its popularity lies in the fact that it is fast, easy to use and offers sophisticated solutions to data analysis. Its built-in modules for streaming, machine learning, SQL, and graph processing make it useful in diverse Industries like Banking, Insurance, Retail, Healthcare, and Manufacturing.

Zeolearn’s Apache Spark and Scala course is designed to help you become proficient in Apache Spark Development. You will learn about topics such as 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. With plenty of practice-sessions and exercises, you will master the framework by the end of this course. The course completion certificate will be issued on successful completion of the course and we provide coaching at a very reasonable cost. Register today at our academy and get the free study materials of Apache Spark and Scala.

Here’s what you will learn!

  • Master the concepts of the Apache Spark framework.
  • Understand the Spark Internals RDD and use of Spark’s API and Scala functions to create RDDs and transform RDDs.
  • Master the RDD Combiners, SparkSQL, Spark Context, Spark Streaming, MLlib, and GraphX.

Is this course right for you?

Data Engineer, Data Analysts, Software Professionals, Analytics Professionals, ETL Developers, Project Managers, and Students wanting to master Big Data and Apache Spark will benefit from this Apache Spark and Scala certification course.

Prerequisites

Hadoop Basics

Curriculum

  • Overview of Hadoop 
  • Architecture of  HDFS  & YARN
  • Overview of Spark version 2.2.0
  • Spark Architecture
  • Spark  Components 
  • Comparison of  Spark &  Hadoop
  • Installation of Spark v 2.2.0 on Linux 64 bit
  • Exploring the Spark shell 
  • Creating Spark Context
  • Operations on Resilient Distributed Dataset – RDD
  • Transformations & Actions 
  • Loading Data and Saving Data
  • Introduction to SQL  Operations
  • SQL Context
  • Data Frame
  • Working with Hive
  • Loading Partitioned Tables
  • Processing  CSV, Json ,Parquet files
  • Introduction to Scala
  • Feature of Scala
  • Scala vs Java Comparison
  • Data types
  • Data Structure
  • Arrays
  • Literals
  • Logical Operators
  • Mutable & Immutable variables
  • Type interface
  • Oops  vs Functions
  • Anonymous 
  • Recursive 
  • Call-by-name
  • Currying
  • Conditional statement
  • List
  • Map
  • Sets
  • Options
  • Tuples
  • Mutable collection
  • Immutable collection
  • Iterating
  • Filtering and counting 
  • Group By
  • Flat Map
  • Word count
  • File Access
  • Classes ,Objects & Properties
  • Inheritance
  • Maven  build tool implementation
  • Build Libraries
  • Create  Jar files 
  • Spark-Submit

  • Overview  of Spark Streaming
  • Architecture of Spark Streaming 
  • File streaming
  • Twitter Streaming
  • Overview  of Kafka Streaming
  • Architecture of Kafka Streaming 
  • Kafka Installation
  • Topic
  • Producer
  • Consumer
  • File streaming
  • Twitter Streaming
  • Overview  of Machine Learning Algorithm
  • Linear Regression
  • Logistic Regression
  • GraphX overview
  • Vertices
  • Edges
  • Triplets
  • Page Rank
  • Pregel
  • On-Off-heap memory tuning
  • Kryo Serialization
  • Broadcast Variable
  • Accumulator Variable
  • DAG Scheduler
  • Data Locality
  • Check Pointing
  • Speculative Execution
  • Garbage Collection
  • Master – Driver Node capacity
  • Slave –   Worker Node capacity
  • Executor capacity
  • Executor core capacity
  • Project scenario and execution
  • Out-of-memory error handling
  • Master logs, Worker logs, Driver  logs
  • Monitoring Web UI 
  • Heap memory dump

Frequently Asked Questions

Big Data analysis is among the most lucrative and satisfying career options due to the sheer amount of money and resources that companies around the world are investing in it. Spark is a data analytics tool that is a very useful skill for Hadoop developers. To excel in your career as a big data developer, knowledge of Apache Spark will prove to be an invaluable asset. 

After completing our course, you will become proficient in Apache Spark Development.

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will work on a project based on AWS Cloud & Apache Spark. This project will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.

Knowledge of Big Data and Hadoop will be an advantage. No prior experience in Apache Spark is required.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

You can attend our instructor-led live online classes from the convenience of your home or office, by logging into the virtual classroom on schedule. Classes are conducted via online live streaming, and the recordings will be made available for you a day later.

Please ensure you have:

Internet Speed: Minimum 1.0 Mbps connection, with uninterrupted availability OS: Windows any version above XP SP3, or Mac any version above OS X 10.6

500 MHz processor, 256 MB Ram, 3 GB HDD (minimum)

Headset: A good headset with a mike. You will be responding to the instructor’s questions as well as listening to the lectures.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

On successful completion of the training, you will get a Zeolearn Course completion certificate. You will be required to work on a project, and will receive detailed project specifications to create an android application. Your project will be reviewed by an expert and if deemed satisfactory, you will be awarded a certificate that grades your performance. In case your project is found unsatisfactory in your first attempt, you can take some extra help and rework on it at no extra cost.

No, you will not be required to refer to textbooks. The training is hands-on and all the course material and class recordings will be available on your dashboard. You will learn by working on a project. You will be supported by your mentor and can clarify doubts at any point of time. At the end of the course, you will have a fully developed Android app that is ready for the market.

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

We always make sure that all our students are extremely satisfied with the training. However, if you find that it’s not working for you, you can discontinue within the first week of training and avail of a refund.

Please visit our Refunds page for more details.

Please send in an email to help@zeolearn.com, or contact us through any of the numbers at this link: https://www.zeolearn.com/contact-us

We will respond to your queries within 24 hours.

Apache Spark and Scala Course in Melbourne

Famous for its culinary culture, sports and recreation, Melbourne is Australia’s second most populous city. It is home to the famed cricket ground, the MCG and is the birthplace of Aussie rules football. It is considered the world’s most liveable city and is one of the Asia Pacific region’s leading economic centres. 

About the Course 

Companies across the globe are investing huge resources into Big Data analysis, attracting major talent to big career opportunities. As a data analytics tool, Apache Spark is a very useful skill for Hadoop developers. To help cater to this industry demand, Zeolearn academy introduces the Spark and Scala training in Melbourne, which will give you career growth as a big data developer. 

With companies finding huge value hidden in big data, the methodologies to extract the information are evolving at a great speed, and Hadoop is now established as an important platform for the processing of big data for organisations across many industries. The Spark and Scala course in Melbourne addresses your need for such skills with a conveniently designed program you can complete from the comforts of your home. 

The Spark and Scala certification in Melbourne will help participants master Apache Spark Development. During this course, you will be introduced by our trainer to topics like Spark Internals, Apache Spark Core, SparkSQLGraphX, Spark Streaming and many more. You will learn about these key components of the Zeolearn Apache Spark course under the coaching of leading industry experts in live interactive lecturesYou will get to be part of assignments and practice sessions with assistance from a tutorwhich will help you develop a strong knowledge of the basics and competency with the framework as you complete this Spark and Scala training in Melbourne

As part of our continuing mission to ensure complete customer satisfaction, we take your feedback seriously. Zeolearn will reimburse your entire course fee after the first demo session, if you’re not content with our methods of coaching. 

Here’s what you will learn!

Our Spark and Scala online training in Melbourne offers 

  • Ability to use Spark framework & concepts and understanding deployment methods with AWS cloud. 
  • Complete knowledge of the Spark Internals RDD 
  • Knowledge of application of Spark’s API and Scala functions for creating and transforming RDDs. 
  • Understanding RDD Combiners, Spark Streaming, Spark Context, SparkSQLGraphXMLlib. 

Objective of the course: 

  • Mastery over the basics and components of Apache Spark 
  • Ability to implement Apache Spark skill for Big Data development 
  • Getting an industry foothold in Big Data with a Spark certification 

Highlights of the course: 

  • Live interactive training from tutors and industry experts 
  • Hands on practice sessions in Apache Spark Ecosystem with industry experts 
  • Project with detailed use of AWS Cloud & Apache Spark to be evaluated by industry experts 
  • Access to exclusive knowledge on Spark industrial applications 
  • Course designed to be taken from home in weekend and weekday batches

Is this course right for you?

If you are a Data Engineer or Analyst, Software Professional, Analytics Professional, ETL Developer, Project Manager or a student wishing to understand Big Data using Apache Spark then the Spark and Scala certification in Melbourne is perfect for you. 

Prerequisites

To get the best leverage out of this online program, understanding of Big Data concepts and experience with Hadoop provides an advantage.  Available at a reasonable cost, this course by the Zeolearn institute will open new avenues in your professional life. Enroll in this workshop and move your career ahead. 

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