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Apache Spark and Scala Training in London, United Kingdom

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

  • 32 hours of Instructor-led training
  • Basic to Advanced level
  • Learn by doing
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Modes of Delivery

Key Features

32 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 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.

Apache Spark and Scala Course in London

London is among the top spenders in digital marketing in all of UK and as a result, it is also a leading market for Big Data researchers. Marketers need to stand out and analysing Big Data is the perfect way to go about making this a reality. Zeolearn’s spark and scala training in London is one of the leading coaching institute programs to begin your career in Big Data.About the course in the cityThanks to the massive boom in the e-commerce sector in London, there is now a massive demand for Big Data analysts. Zeolearn academy offers coaching for spark and scala certification in London that is designed to target those who seek to understand the concepts of spark and scala in their work. Zeolearn’s spark and scala course in London has been designed in a way that you are able to learn from the convenience of your home.Through our institutes’ spark and scala online training in London will be coaching you to become a proficient Apache Spark developer in a short span of time. The intensive training that you will receive through our spark and scala training London course will help you develop mastery over topics such as Motivation for Apache Spark, RDD, Apache Spark Core, SparkSQL and various other domains that come under the purview of spark and scala framework. Our spark and scala certification in London will help you with an abundance of hands on practice sessions, guided exercises and mould you into a proficient analyst.Our course material is curated with special care towards helping you understand the key concepts of the Apache Spark framework and deploying the methodologies using the AWS cloud. You will learn about the Spark RDD and the APU that will help you create and transform the RDDs all in a short span of time for a competitive fee and at your convenience.

Here’s what you will learn!

Zeolearn spark and scala training course in London offers

  • Mastery of the concepts of Apache Spark framework and deploy its methodologies.
  • Understand RDD, use Spark API and Scala functions
  • Attain mastery over RDD combiners, Spark Context, Spark SQL, MLlib, GraphX and Spark Streaming

Objective of the course

  • Learn the basics and advanced modules of the Spark and Scala framework
  • Learn skills to analyse Big Data with Spark and Scala framework
  • Learn and use Apache Spark Deep Dive
  • Learn to Fine tune and optimise Big Data with Spark and Scala

Highlights of the course

  • Exclusive live and interactive training sessions from highly experienced trainer.
  • Cement all the concepts with hands on workshops and learning assignments guided by our tutor.
  • Easy schedules prepared in convenient weekday and weekend batches.
  • Ability to revisit any part of already covered topics through any of the upcoming batches.
  • Get a full cost refund if not satisfied with our demo lectures
  • Get easy lifetime access to several hours’ worth of recorded course data with our online program at your convenience.

Is this course right for you?

Our Spark and Scala London training course is suitable for Data analysts, software professionals, Data engineers, ETL developers, project managers and even students that wish to master Big Data

Prerequisites

The Apache spark and scala course will be easier to grasp with knowledge and understanding of Big Data and Hadoop.

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