Apache Spark Training | Apache Spark Certification Course | Edureka

Apache Spark and Scala Certification Training


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Why should you take Apache Spark and Scala course ?

  • Apache Spark will dominate the Big Data landscape by 2022 - Wikibon
  • ​The average pay stands at 10​8,​366 USD p.a - ​Indeed.com​​
  • 20K + satisfied learners. Reviews
  • Hands-on practice with   Cloud Lab
About the Course

Edureka’s Apache Spark and Scala Certification Training is designed to provide you the knowledge and skills that are required to become a successful Spark Developer and prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). Throughout the Apache Spark Training, you will get an in-depth knowledge on Apache Spark and the Spark Ecosystem, which includes  Spark RDD, Spark SQL, Spark MLlib and Spark Streaming.You will also get comprehensive knowledge on Scala Programming language, HDFS, Sqoop, FLume, Spark GraphX and Messaging System such as Kafka.

Instructor-led Apache Spark and Scala live online classes

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Learning Objectives: In this module of Spark training, 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. 

Topics:
  • 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 and Procedures
  • Collections in Scala- Array
  • ArrayBuffer, Map, Tuples, Lists, and more
Learning Objectives: In this module, you will learn about object-oriented programming concepts like classes, functions, constructors, etc. and functional programming techniques in Scala. 

Topics:
  • Class in Scala
  • Getters and Setters
  • Custom Getters and Setters
  • Properties with only Getters
  • Auxiliary Constructor and Primary Constructor
  • Singletons
  • Extending a Class
  • Overriding Methods
  • Traits as Interfaces and Layered Traits
  • Programming
  • Higher Order Functions
  • Anonymous Functions, and more
Learning Objectives: In this module, you will understand Big Data, the limitations of the existing solutions for Big Data problem, how Hadoop solves the Big Data problem, Hadoop ecosystem components, Hadoop Architecture, HDFS, Rack Awareness and Replication. You will learn about the Hadoop Cluster Architecture, important configuration files in a Hadoop Cluster. You will get an overview of Apache Sqoop and how it is used in importing and exporting tables from RDBMS to HDFS & vice versa. 

Topics:
  • What is Big Data?
  • Big Data Customer Scenarios
  • Limitations and Solutions of Existing Data Analytics Architecture with Uber Use Case
  • How Hadoop Solves the Big Data Problem
  • What is Hadoop?
  • Hadoop’s Key Characteristics
  • Hadoop Ecosystem and HDFS
  • Hadoop Core Components
  • Rack Awareness and Block Replication
  • HDFS Read/Write Mechanism
  • YARN and Its Advantage
  • Hadoop Cluster and Its Architecture
  • Hadoop: Different Cluster Modes
  • Data Loading using Sqoop
Learning Objectives: In this module, you will understand the difference between batch and real-time processing. You will get an introduction to Apache Spark, its Ecosystem and Spark web interface. You will also learn how to build and run Spark application. 

Topics:
  • Big Data Analytics with Batch & Real-Time Processing
  • Why Spark is Needed?
  • What is Spark?
  • How Spark Differs from Its Competitors?
  • Spark at eBay
  • Spark’s Place in Hadoop Ecosystem
  • Spark Components & it’s Architecture
  • Running Programs on Scala IDE & Spark Shell
  • Spark Web UI
  • Configuring Spark Properties
Learning Objectives: In this module of spark certification training, you will learn one of the fundamental building blocks of Spark – RDDs and related manipulations for implementing business logics (Transformations, Actions and Functions performed on RDD). You will also learn about Spark applications, how it is developed and configuring Spark properties. 

Topics:
  • Challenges in Existing Computing Methods
  • Probable Solution & How RDD Solves the Problem
  • What is RDD, It’s Functions, Transformations & Actions?
  • Data Loading and Saving Through RDDs
  • Key-Value Pair RDDs and Other Pair RDDs o RDD Lineage
  • RDD Persistence
  • WordCount Program Using RDD Concepts
  • RDD Partitioning & How It Helps Achieve Parallelization
Learning Objectives: In this module, you will learn about Spark SQL which is used to process structured data with SQL queries. You will learn about data-frames and datasets in Spark SQL and perform SQL operations on data-frames. At the end of the module you will also be working on Stock Market Analysis using Spark SQL. 

Topics:
  • Need for Spark SQL
  • What is Spark SQL?
  • Spark SQL Architecture
  • SQL Context in Spark SQL
  • Data Frames & Datasets
  • Interoperating with RDDs
  • JSON and Parquet File Formats
  • Loading Data through Different Sources
Learning Objectives: In this module of Spark Training, you will learn about what is the need for machine learning, types of ML concepts, clustering and MLlib (i.e. Spark’s machine learning library), various algorithms supported by MLlib and implement K-Means Clustering. 

Topics:
  • What is Machine Learning?
  • Where is Machine Learning Used?
  • Different Types of Machine Learning Techniques
  • Face Detection: USE CASE
  • Understanding MLlib
  • Features of Saprk MLlib and MLlib Tools
  • Various ML algorithms supported by Spark MLlib
  • K-Means Clustering & How It Works with MLlib
  • Analysis on US Election Data: K-Means Spark MLlib USE CASE
Learning Objectives: In this module, you will acquire in-depth knowledge of Kafka and Kafka Architecture. You will go through the details of Kafka Cluster and you will also learn how to configure different types of Kafka Cluster such as Single Node Single Broker, Single Node Multi Broker, etc. 

Topics:
  • Need for Kafka
  • What is Kafka?
  • Core Concepts of Kafka
  • Kafka Architecture
  • Where is Kafka Used?
  • Understanding the Components of Kafka Cluster
  • Configuring Kafka Cluster
  • Producer and Consumer
Learning Objectives: In this module of spark online training you will get an introduction to Apache Flume and its components like source, channel, sink, etc. You will also learn about architecture of Flume and it is integrated with Apache Kafka for event processing. 

Topics:
  • Need of Apache Flume
  • What is Apache Flume
  • Basic Flume Architecture
  • Flume Sources
  • Flume Sinks
  • Flume Channels
  • Flume Configuration
  • Integrating Apache Flume and Apache Kafka
Learning Objectives: In this module of Spark Training you will get an opportunity to work on Spark streaming which is used to build scalable fault-tolerant streaming applications. You will learn about DStreams and various Transformations performed on it. You will get to know about main streaming operators, Sliding Window Operators and Stateful Operators. 

Topics:
  • Drawbacks in Existing Computing Methods
  • Why Streaming is Necessary?
  • What is Spark Streaming?
  • Spark Streaming Features
  • Spark Streaming Workflow
  • How Uber Uses Streaming Data
  • Streaming Context & DStreams
  • Transformations on DStreams
  • WordCount Program using Spark Streaming
  • Describe Windowed Operators and Why it is Useful
  • Important Windowed Operators
  • Slice, Window and ReduceByWindow Operators
  • Stateful Operators
  • Perform Twitter Sentimental Analysis Using Spark Streaming
. Call a Course Advisor for discussing Curriculum Details . 1844 230 6361
Apache Spark Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer. This Training would help you to clear the CCA Spark and Hadoop Developer (CCA175) Examination.

You will understand the basics of Big Data and Hadoop. You will learn how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. You will also learn about RDDs, Spark SQL for structured processing, different APIs offered by Spark such as Spark Streaming, Spark MLlib. This course is an integral part of a Big Data Developer’s Career path. It will also encompass the fundamental concepts such as data capturing using Flume, data loading using Sqoop, messaging system like Kafka, etc. 
Spark Certification Training is designed by industry experts to make you a Certified Spark Developer. The Spark Scala Course offers:
  • Overview of Big Data & Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator)
  • Comprehensive knowledge of various tools that falls in Spark Ecosystem like Spark SQL, Spark MlLib, Sqoop, Kafka, Flume and Spark Streaming
  • The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS
  • The power of handling real time data feeds through a publish-subscribe messaging system like Kafka
  • The exposure to many real-life industry-based projects which will be executed using Edureka’s CloudLab
  • Projects which are diverse in nature covering banking, telecommunication, social media, and govenment domains
  • Rigorous involvement of a SME throughout the Spark Training to learn industry standards and best practices

Spark is one of the most growing and widely used tool for Big Data & Analytics. It has been adopted by multiple companies falling into various domains around the globe and therefore, offers promising career opportunities. In order to take part in these kind of opportunities, you need a structured training that is aligned as per Cloudera Hadoop and Spark Developer Certification (CCA175) and current industry requirements and best practices.


Besides strong theoretical understanding, it is quite essential to have a strong hands-on experience. Hence, during the Edureka’s Spark and Scala course, you will be working on various industry-based use-cases and projects incorporating big data and spark tools as a part of solution strategy.


Additionally, all your doubts will be addressed by the industry professional, currently working on real life big data and analytics projects.

Edureka’s Spark and Scala Training is curated by Industry experts and helps you to become a Spark developer. During this course, you will be trained by Industry practitioners having multiple years of experience in the same domain. During Apache Spark and Scala course, you will be trained by our expert instructors to:
  • Master the concepts of HDFS
  • Understand Hadoop 2.x Architecture
  • Learn data loading techniques using Sqoop
  • Understand Spark and its Ecosystem
  • Implement Spark operations on Spark Shell
  • Understand the role of Spark RDD
  • Work with RDD in Spark
  • Implement Spark applications on YARN (Hadoop)
  • Implement machine learning algorithms like clustering using Spark MLlib API
  • Understand Spark SQL and it’s architecture
  • Understand messaging system like Kafka and its components
  • Integrate Kafka with real time streaming systems like Flume
  • Use Kafka to produce and consume messages from various sources including real time streaming sources like Twitter
  • Learn Spark Streaming
  • Use Spark Streaming for stream processing of live data
  • Solve multiple real-life industry-based use-cases which will be executed using Edureka’s CloudLab
Market for Big Data Analytics is growing tremendously across the world and such strong growth pattern followed by market demand is a great opportunity for all IT Professionals. Here are a few Professional IT groups, who are continuously enjoying the benefits and perks of moving into Big Data domain.
  • Developers and Architects
  • BI /ETL/DW Professionals
  • Senior IT Professionals
  • Testing Professionals
  • Mainframe Professionals
  • Freshers
  • Big Data Enthusiasts
  • Software Architects, Engineers and Developers
  • Data Scientists and Analytics Professionals
The stats provided below will provide you a glimpse of growing popularity and adoption rate of Big Data tools like Spark in the current as well as upcoming years:
  • 56% of Enterprises Will Increase Their Investment in Big Data over the Next Three Years – Forbes
  • McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts
  • Average Salary of Spark Developers is $113k
  • According to a McKinsey report, US alone will deal with shortage of nearly 190,000 data scientists and 1.5 million data analysts and Big Data managers by 2018
  • As you know, nowadays, many organisations are showing interest in Big Data and are adopting Spark as a part of solution strategy, the demand of jobs in Big Data and Spark is rising rapidly. So, it is high time to pursue your career in the field of Big Data & Analytics with our Spark and Scala Certification Training Course.

There are no such prerequisites for Edureka’s Spark and Scala Training Course. However, prior knowledge of Core Java and SQL will be helpful but is not at all mandatory.

Edureka’s Apache Spark and Scala Developer Certificate Holders work at 1000s of companies like

5000 Total number of reviews
4.57 Aggregate review score
80% Course completion rate

You will execute all your Spark and Scala Course Assignments/Case Studies on the Cloud LAB environment provided by Edureka. You will be accessing the Cloud LAB via browser. In case of any doubt, Edureka’s Support Team will be available 24*7 for prompt assistance.

CloudLab is a cloud-based Spark and Hadoop environment that Edureka offers with the Spark Training Course where you can execute all the in-class demos and work on real life spark case studies fluently. This will not only save you from the trouble of installing and maintaining Spark and Scala on a virtual machine, but will also provide you an experience of a real big data and spark production cluster. You’ll be able to access the Spark Training CloudLab via your browser which requires minimal hardware configuration. In case, you get stuck in any step, our support team is ready to assist 24×7.

You don’t have to worry about the system requirements as you will be executing your practicals on a Cloud LAB which is a pre-configured environment. This environment already contains all the necessary tools and services required for Edureka's spark training.

At the end of the Spark Training, you will be assigned with real-life use-cases as certification projects to further hone your skills and prepare you for the various Spark Developer Roles. Following are few industry-specific case studies that are included in our Apache Spark Developer Certification Training.

Project #1: US Election

Industry: Government

Technologies Used:

  • HDFS (for storage)
  • Spark SQL (for transformation)
  • Spark MLlib (for machine learning)
  • Zeppelin (for visualization)


Problem Statement : In the US Primary Election 2016, Hillary Clinton was nominated over Bernie Sanders from Democrats and on the other hand, Donald Trump was nominated from Republican Party to contest for the presidential position. As an analyst, you have been tasked to understand different factors that led to the winning of Hillary Clinton and Donald Trump in the primary elections based on demographic features to plan their next initiatives and campaigns.


Project #2: Design a system to replay the real time replay of transactions in HDFS using Spark.

Technology Used :

  • Spark Streaming
  • Kafka (for messaging)
  • HDFS (for storage)
  • Core Spark API (for aggregation)


Project #3: Instant Cabs

Industry: Transportation

Technologies Used :

  • HDFS (for storage)
  • Spark SQL (for transformation)
  • Spark MLlib (for machine learning)
  • Zeppelin (for visualization)


Problem Statement : A US cab service start-up (i.e. Instant cabs) wants to meet the demands in an optimum manner and maximize the profit. Thus, they hired you as a data analyst to interpret the available Uber’s data set and find out the beehive customer pick-up points & peak hours for meeting the demand in a profitable manner.


Project #4: Drop-page of signal during Roaming

Industry: Telecom

Technologies Used :

  • HDFS (for storage)
  • Spark SQL (for transformation)


Problem Statement : You will be given a CDR (Call Details Record) file, you need to find out top 10 customers facing frequent call drops in Roaming. This is a very important report which telecom companies use to prevent customer churn out, by calling them back and at the same time contacting their roaming partners to improve the connectivity issues in specific areas.

Instructor-led Sessions

30 hrs of Online Live Instructor-led Classes. Weekend class:10 sessions of 3 hours each and Weekday class:15 sessions of 2 hours each.

Real-life Case Studies

Towards the end of the course, you will be working on a Real Life project.

Assignments

Each class will be followed by practical assignments which can be completed before the next class.

Lifetime Access

You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS.

24 x 7 Expert Support

We have 24x7 online support team available to help you with any technical queries you may have during the course.

Certification

Towards the end of the course, you will be working on a project. Edureka certifies you as an Spark Expert based on the project.

Forum

We have a community forum for all our customers wherein you can enrich their learning through peer interaction and knowledge sharing.

Cloud Lab New

Cloud Lab has been provided to ensure you get real-time hands-on experience to practice your new skills on a pre-configured environment
You will never miss a lecture at Edureka! You can choose either of the two options:
  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch.
To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.
We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.
All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.

You can give us a CALL at +91 88808 62004/1800 275 9730 (US Tollfree Number) OR email at sales@edureka.co

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