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

Apache Spark and Scala Training in Toronto, Canada

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: http://www.zeolearn.com/contact-us

We will respond to your queries within 24 hours.

Apache Spark and Scala Course in Toronto

Toronto is the largest and most advanced city in Canada with a booming IT industry. Ideal location and availability of skilled labour have made Toronto a sought after destination for large IT industries and new start-ups alike giving IT professionals a worthy opportunity to make a good career.

About the course in the city

The world is moving towards data backed solutions, and demand for professionals who can perform meaningful analysis with the vast amount of data available and throw meaningful information for the business to use is on the rise. In order to prepare an individual to make most of this booming opportunity, Zeolearn offers coaching for Spark and Scala course in Toronto. The Spark and Scala training in Toronto is aimed at helping you become skilful in Apache Spark development and offer hands on knowledge to create Spark applications with the help of Scala programming. The Spark and Scala training in Toronto will give you the necessary edge in big data analytics and provide techniques to increase application performance and customise Spark using Scala.

Organizations today have a lot of unstructured data at their disposal which could provide insights on the current business scenario and throw light on future trends, helping them draw their strategies effectively. However, in absence of correct data analytical tools which can convert data into meaningful information, organizations often find themselves short of insightful information despite having all the data available. Spark, the Apache application, is a superfast, open source computing framework for heavy data processing. Spark and Scala Course in Toronto provide comprehensive coaching for advanced implementation of Scala giving the beneficiary an edge over other professionals in big data analysis.

Here’s what you will learn!

Our Spark and Scala certification in Toronto offers:

  • Understanding of basics in Apache Spark and Scala programming
  • Deployment methodologies of Apache Spark framework using the AWS cloud application
  • Learning the use of Spark’s API and Scala functions to create RDDs and transform RDDs

Objective of the course:

  • To make you knowledgeable about Apache Spark development
  • Impart knowledge about topics like Spark internals, RDD, Apache spark core, Spark streaming etc.
  • Skills to master RDD combiners, GraphX, SparkSQL, MLlib and Spark context.

Highlights of the course:

  • Multiple hands-on practice sessions in Apache Spark eco-system
  • Live online training by experienced instructors
  • Practical assignments with one project using AWS Cloud & Apache Spark
  • Mobility to take the lectures from home or office

Is this course right for you?

The Spark and Scala certification course in Toronto is best suited for data engineers and analysts, ETL developers, software and analytic professionals, project managers, students interested in Apache spark and Big Data analytics.

Prerequisites

Comprehension of Hadoop and Big Data is an added advantage for professionals looking to get the most out of spark and scala course in Toronto. Enroll for a workshop with Zeolearn and take advantage of the well-structured lectures and gain a competitive edge over other professionals.

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