Apache Spark Certification Training

  Date :
19 Jan - 24 Feb
(12 days)
  time :
07:00 AM - 10:00 AM IST
price :
21,998.00

DESCRIPTION

About the Course

Apache Spark certification training has been started by Root2learn to make people advance their career in 2nd Gen Big Data. At Root2learn, we provide Apache spark certification course online and make people learn all the concepts of Spark and its eco-system, RDD, Spark Streaming, Spark SQL, MLlib GraphX, and Scala. Our Apache Spark certification training online also includes real-time projects to prepare you to handle the job.

 

Following are the listed Course Objectives
You will be eligible for the following criteria after completing Apache Spark & Scala course

1) Understand the role of RDDs in Spark.
2) Stream data using Spark Streaming API.
3) Understand Scala and its implementation.
4) Analyze Hive and Spark SQL architecture.
5) Get an insight into the big data challenges.
6) Understand functional programming in Scala.
7) Master the concepts of Traits and OOPS in Scala.
8) Implement Spark applications on YARN (Hadoop).
9) Learn how Spark acts as a solution to these challenges.
10) Apply Control Structures, Loops, Collection, and more.
11) Understand GraphX API and implement graph algorithms.
12) Install Spark and implement Spark operations on Spark Shell.
13) Implement SparkSQL queries to perform several computations.
14) Implement machine learning algorithms in Spark using MLlib API.
15) Implement Broadcast variable and Accumulators for performance tuning.

Who should go for this Course?

This course is a foundation to anyone who wants to begin the field of big data and want to be up-to-date with the latest developments around the quick and effective processing of ever-growing data using Spark and related projects. This course is eligible for:
1. Big Data enthusiasts
2. Software architects, engineers and developers
3. Data Scientists and analytics professionals

What are the pre-requisites for this Course?
A basic understanding of functional programming and object oriented programming will help. Knowledge of Scala will definitely be a plus, but is not mandatory.
Project Work
Project #1: Design a system to replay the real time replay of transactions in HDFS using Spark.
Technologies Used:
1. Spark Streaming
2. Kafka (for messaging)
3. HDFS (for storage)
4. Core Spark API (for aggregation)
Project #2: Drop-page of signal during Roaming
Industry: Telecom Industry
Problem Statement: You will be assigned a CDR (Call Details Record) file, you need to obtain out top 10 consumers facing frequent call drops in Roaming. This is a very significant report that telecom companies manage to anticipate customer churn out, by calling them back and at the same time contacting their roaming associates to change the connectivity issues in particular areas.
Why learn Apache Spark?

Analyzing the data for better business insights can be done perfectly through Apache Spark and this is one of the important reasons to learn the Spark. Though there are other alternatives for Big Data processing like Hadoop, Storm, etc, Spark is the evolution in this field as it provides streaming ability and this made every business choose Apache spark for rapid data analysis.

Also, Apache Spark is much simpler than MapReduce and other Big Data frameworks. The Big Data problems which cannot be solved by MapReduce can be easily solved by Spark.

1. Introduction to Scala for Apache Spark

In this module, you will understand the basics of Scala that are required for programming Spark applications. You can learn about the basic constructs of Scala such as variable types, control structures, collections, and more. 

  • What is Scala?
  • Why Scala for Spark?
  • Scala in other frameworks
  • Introduction to Scala REPL, basic Scala operations, Variable Types in Scala, Control Structures in Scala, Foreach loop, Functions, Procedures, Collections in Scala- Array, ArrayBuffer, Map, Tuples, Lists.
  1. OOPS and Functional Programming in Scala

In this module, you will learn about object oriented programming and functional programming techniques in Scala.

  • Class in Scala, Getters and Setters, Custom Getters and Setters, Properties with only Getters, Auxiliary Constructor, Primary Constructor, Singletons.
  • Companion Objects, Extending a Class, Overriding Methods, Traits as Interfaces, Layered Traits, Functional Programming, Higher Order Functions, Anonymous Functions
  1. Introduction to Big Data and Apache Spark

In this module, you will understand about big data, challenges associated with it and the different frameworks available. The module also includes a first-hand introduction to Spark

  • Introduction to big data
  • Challenges with big data
  • Batch Vs. Real Time big data analytics
  • Batch Analytics – Hadoop Ecosystem Overview
  • Real-time Analytics Options
  • Streaming Data – Spark
  • In-memory data – Spark
  • What is Spark?, Spark Ecosystem, modes of Spark,
  • Spark installation demo, overview of Spark on a cluster
  • Spark Standalone cluster, Spark Web UI
  1. Spark Common Operations

In this module, you will learn how to invoke Spark Shell and use it for various common operations.

  • Invoking Spark Shell
  • Creating the Spark Context, loading a file in Shell, performing basic Operations on files in Spark Shell
  • Overview of SBT, building a Spark project with SBT, running Spark project with SBT local mode, Spark mode, caching overview
  • Distributed Persistence
  1. Playing with RDDs

In this module, you will learn one of the fundamental building blocks of Spark – RDDs and related manipulations for implementing business logic.

  • RDDs, transformations in RDD, actions in RDD, loading data in RDD, saving data through RDD
  • Key-Value Pair RDD
  • MapReduce and Pair RDD Operations
  • Spark and Hadoop Integration-HDFS
  • Spark and Hadoop Integration-Yarn
  • Handling Sequence Files, Partitioner.
  1. Spark Streaming and MLlib

In this module, you will learn about the major APIs that Spark offers. You will get an opportunity to work on Spark streaming which makes it easy to build scalable fault-tolerant streaming applications, MLlib which is Spark’s machine learning library.

  • Spark Streaming Architecture
  • First Spark Streaming Program
  • Transformations in Spark Streaming
  • Fault tolerance in Spark Streaming,
  • Check pointing
  • Parallelism level, machine learning with Spark, data types,
  • Algorithms – statistics, classification and regression, clustering, collaborative filtering.
  1. GraphX, SparkSQL and Performance Tuning in Spark

In this module, you will learn about Spark SQL that is used to process structured data with SQL queries, graph analysis with Spark, GraphX for graphs and graph-parallel computation. You will also0 get a chance to learn the various ways to optimize performance in Spark

  • Analyze Hive and Spark SQL architecture
  • SQLContext in Spark SQL
  • Working with DataFrames
  • Implementing an example for Spark SQL
  • Integrating hive and Spark SQL
  • Support for JSON and Parquet File Formats
  • Implement data visualization in Spark
  • Loading of data
  • Hive queries through Spark, testing tips in Scala, performance tuning tips in Spark,
  • Shared variables: Broadcast Variables, Shared Variables: Accumulators
  1. A complete project on Apache Spark

In this module, you will get an opportunity to work on a live Spark project where you can implement the learnings from previous modules hands-on, and solve a real-time use case.

Design a system to replay the real time replay of transactions in HDFS using Spark.

Technologies Used: 

  1. Spark Streaming
  2. Kafka (for messaging)
  3. HDFS (for storage)
  4. Core Spark API (for aggregation)

Benefits of Learning Apache Spark:

There are numerous benefits of learning Apache Spark and we can strongly say that it is a must, if you want to develop your career in this field.

Huge Demand:

Being a next generation course, Spark has huge demand and a lot of recruiters are waiting to hire a professional Spark developer. As it is an advanced course, there will be a number of opportunities even after years. The use of spark is increasing among many companies and so the massive demand has been established for Spark professionals.

Pay Scale:

Learning Apache Spark is one of the best ways to increase your pay scale. The number of Spark developers available in the market is very less when compared to the requirement and this is the reason why companies will pay you high, if you learn Apache Spark certification training.

Why Root2learn for Apache Spark Certification Training?

Apart from experts trainers and peaceful environment, there are many reasons to choose Root2learn for Apache Spark certification course online.

Learning:

At Root2learn, our trainers will help you learn different concepts of Apache Spark through different techniques. They will make you understand the problems with Hadoop and how Apache Spark is better than Hadoop. You can learn how apache Server solves the Big Data challenges and much more. You will not only learn the concepts but also their implementation through practical sessions.

Live Project:

After making you learn every concept of Apache Spark, our trainers will make you work on live projects to get hands-on-experience which will be helpful in project management in your company. The live project also makes you have practical knowledge and in-depth understanding of the subject.

Live Online sessions:

Live online sessions are really important in Apache Spark certification training as you can interact with industry experts to know more information and get extensive knowledge. The experts will also teach techniques that have to be used in your project easily.

Global Standards:

There is no doubt Spark is the future of Big Data processing and so the standards of Big Data analytics are increasing with Spark. By learning Spark Apache certification course online at Root2learn, you will be able to meet the global standards by learning advanced Spark applications and distributions.

Classroom and Online Training:

At Root2learn, We offer both Classroom and online Apache Spark certification training so that our students can choose which is more convenient to them. In classroom training, our trainers will take time to interact with the students directly to clarify their doubts, if they have any. In online training, the classes will be even more interactive and the students are allowed to contact the trainer through email or other online resources.

Labs:

At Root2learn, we prefer practical training over complete theoretical training. It is important to gain practical knowledge on Apache server to work on it. So, you will have to spend 100+ hours on labs, assignments, and practicals.

Discussion Forum:

You will be in a discussion forum of Root2learn where you can interact with other batch-mates and ask for queries to solve your problems.

Career Discussions:

You can make career discussions directly with your trainer which will be very helpful to take the right step in your career to get your dream job with the expected pay scale.

Mock Interviews:

To let you know how the interview will be conducted and what kind of questions will be asked on Apache Spark, our trainers will conduct mock interviews which help you perform well in original interviews.

Job Assistance:

At root2learn, we will also provide job assistance for the candidates who have undergone Apache spark training course at our institute. This is a wonderful opportunity to earn and get your dream job through our support.

A course without a certification has no value in the current situation. So, we always offer the courses with certification which is like a standard support from us. The Apache spark training certificate has a great value and there are more chances for you to get a job when compared to other candidates who have no certification.

The candidates who want to advance their career in Big Data can learn the Apache Spark training online and this is the course that will be helpful for Software Engineers, Project Managers, BI, ETL, Data warehousing professionals, Business Analysts, Architects, Mainframe and Testing professionals, DBAs, and any other candidates who want to start their career in Apache Spark.

  • Associate Project Managers
  • Project Managers
  • IT Project Managers
  • Project Coordinators
  • Project Analysts
  • Project Leaders
  • Senior Project Managers
  • Team Leaders
  • Product Managers
  • Program Managers
  • Project Sponsors
  • Project Team Members seeking PMP or CAPM certification.

How do you provide online training ?

The training would be provided over a web platform. It is the most demanded & modernized way of “Instructor Led Training” without the need for expensive travelling that can be attended from anywhere in the world. You can attained from your home.

Which option do I choose for training, Virtual or classroom training?

You can decide which one suitable for you:

Virtual classroom Classroom
Less Expensive More Expensive
Recorded video of same session to refer in future No, recorded video
Can attain from any place, internet ( 512 KBPS speed) and System required Need to go at training venue
Can attain from home or office or from other country No, have to stay in same city
Interactive session Interactive session
Interaction with global professionals Mostly local professionals
Flexi class pass, can attain as many class want in same fee One class
If miss any class can go through same training video to connect in next session, and ask if have any query or can attain in any batch If miss the class, will not able to attain same session
Gradually learning ( as training will go near about one month, so you can prepare with training) will get enough time to revise covered topics Some training will finished in 4 days, or within one week. So it will be more load and will not have enough time to revise covered topics
Highly expected trainer ( 23 years, 6 years training experience) May be have experienced trainer
Demo session ( past recorded video) Not available

What is Virtual classroom training?

Virtual classroom training for Big data and Hadoop is training conducted via online live streaming of a class. The classes are conducted by a Certified trainer with more than 20 years of work and training experience. It is interactive session, you can asked the question to trainer and will also ask the question. it is one to one interaction. It is video conference type of training.

Is this live training, or will I watch pre-recorded videos?

All the classes are live. They are interactive sessions that enable you to ask questions and participate in discussions during the class time. We do, however, provide recordings of each session you attend for your future reference.

What tools do I need to attend the training sessions?

The tools you’ll need to attend training are fairly basic:
  • Windows: any version newer than Windows XP SP3
  • Mac: any version newer than OSX 10.6
  • Internet speed: Preferably faster than 512 Kbps
  • Headset, speakers, microphone: You’ll need headphones or speakers to hear clearly, as well as a microphone to talk to the others. You can use a headset with a built-in microphone, or separate speakers and microphone.

Where is the training held?

There is no training venue for Virtual classroom training. It is online live training you can  attained from your home by login at your system, for that we will provide you login id and password.
For classroom training you will get email at your registered email id as per your location.

What is 100% training quality guarentee?

If you are not happy with our training quality, inform us within 1st half of Training on First Day. We will refund your entire training fee with 7 working days.

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