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Apache Spark and Scala
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Apache Spark and Scala Training

Master the concepts of the Apache Spark framework, its deployment methodologies using AWS cloud and also understand the spark Internals RDD

Online & Classroom | Latest & Accredited Courseware | 100+ hrs of assignments

Drop A Query Schedules

Modes of Delivery

Key Features

Instructor Led Live online training
10+ hands-on practice sessions in Apache Spark Ecosystem
2 sets of assignment with one project using AWS Cloud & Apache Spark
Detailed discussion on Apache Spark industrial use cases
100 days free access to the e-learning modules
Learn from the comfort of your home or office

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 storing, handling, evaluating and retrieving data for companies in a variety of applications. With the demand for big data analysts on the rise, a comprehensive 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, SQL, machine learning and graph processing make it useful in diverse Industries like Banking, Insurance, Retail, Healthcare, and Manufacturing. 

Zeolearn’s course on Big Data and Apache Spark 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. 

Here’s what you will learn!

  • Master the concepts of the Apache Spark framework, and its deployment methodologies using AWS cloud.
  • 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 course.

Prerequisites

Knowledge of Big Data and Hadoop will be an advantage.

Curriculum

  • Why Spark
  • Hadoop Explosion to Spark Unification
  • Spark’s background
  • Installation
  • Spark Programming Languages
  • Hell Big Data World!
  • More…

  • Overview
  • Spark Applications
  • The back bone of Spark – RDD
  • Loading Data
  • What is Lambda
  • Transforming Data
  • Deep dive on Transforming data
  • Actions
  • Associative Property
  • Implant on Data
  • Persistence
  • More… 
  • Overview
  • Implicit Conversions
  • Key Value Methods
  • Caching Data
  • Accumulating Data
  • More…
  • Overview
  • Apache Spark Submit
  • Cluster Management
  • Standalone Cluster Scripts
  • Amazon Web Services
  • Spark on Yarn in Elastic Map Reduce
  • The Spark User Interfaces
  • More…
  • Overview
  • Spark SQL
  • Spark SQL Demo
  • The SQL part of Spark SQL Demo
  • Spark Streaming
  • Spark Streaming Demo
  • Machine Learning
  • Machine Learning Hands on
  • The Graph Theory
  • GraphX
  • GraphX Hands on
  • More…
  • What’s Optimization
  • Closure
  • Broadcasting
  • Optimization Partitioning
  • More

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.

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