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Apache Spark and Scala Certification Training Course

Apache Spark and Scala Certification Training Course
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Why enroll for Apache Spark and Scala Training?

pay scale by Edureka courseMajor MNCs like Facebook, Instagram, Netflix, Yahoo, Walmart and many more deployed Spark to process data and enable downstream analytics
IndustriesAccording to Fortune Business Insights, the global big data analytics market size is projected to reach $549.73B in 2028, at a CAGR of 13.2% during the forecast period
Average Salary growth by Edureka courseThe salaries of Big Data Developers in the US range from USD 73,445 to USD 140,000 , with a median salary of USD 114,000 - Indeed.com

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Apache Spark and Scala Training Benefits

There are several industries making significant investments in big data analytics, including banking, retail, manufacturing, finance, healthcare, and government to make more informed business decisions. That translates into a range of jobs being created within each sector, for which individuals with this expertise will be needed. It is also being forecasted that the rise in demand for these roles far outweighs the current supply. Spark and Scala certification will certainly enhance your chance of landing a good job with handsome salary.
Annual Salary
Big Data Engineer average salary
Hiring Companies
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Annual Salary
Big Data Developer average salary
Hiring Companies
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Annual Salary
Big Data Analyst average salary
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Why Apache Spark and Scala Training from edureka!

Live Interactive Learning

Live Interactive Learning

  • World-Class Instructors
  • Expert-Led Mentoring Sessions
  • Instant doubt clearing
Lifetime Access

Lifetime Access

  • Course Access Never Expires
  • Free Access to Future Updates
  • Unlimited Access to Course Content
24x7 Support

24x7 Support

  • One-On-One Learning Assistance
  • Help Desk Support
  • Resolve Doubts in Real-time
Hands-On Project Based Learning

Hands-On Project Based Learning

  • Industry-Relevant Projects
  • Course Demo Dataset & Files
  • Quizzes & Assignments
Industry Recognised Certification

Industry Recognised Certification

  • Edureka Training Certificate
  • Graded Performance Certificate
  • Certificate of Completion

About your Apache Spark and Scala Training

Skills Covered

  • Storing Big Data in HDFS
  • Transformations and Actions in Spark
  • Data Ingestion using Sqoop and Flume
  • Querying Big Data using Spark SQL
  • Building Data Pipeline using Kafka
  • Real-time Data Processing with Spark

Tools Covered

  • HIVE -  tools
  • HIVE -  tools
  • HIVE -  tools
  • HIVE -  tools
  • HIVE -  tools
  • HIVE -  tools
  • HIVE -  tools
  • HIVE -  tools
  • HIVE -  tools
  • HIVE -  tools

Spark and Scala Certification Training Course Curriculum

Curriculum Designed by Experts
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Introduction to Big Data Hadoop and Spark

18 Topics

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
  • YARN and its Advantage
  • Hadoop Cluster and its Architecture
  • Hadoop: Different Cluster Modes
  • Hadoop Terminal Commands
  • Big Data Analytics with Batch & Real-time Processing
  • Why Spark is needed?
  • What is Spark?
  • How Spark differs from other frameworks?
  • Spark at Yahoo!

Hands-on:

  • Hadoop terminal commands

Skills You will Learn:

  • Hadoop components and its architecture
  • Storing data in HDFS
  • Working with HDFS commands

Introduction to Scala for Apache Spark

10 Topics

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

Hands-on:

  • Control structures in Scala
  • Working with various looping statements
  • Implementing collections in Scala

Skills You will Learn:

  • Writing Basic Scala Programs
  • Working with Collections in Scala

Functional Programming and OOPs Concepts in Scala

12 Topics

Topics:

  • Functional Programming
  • Higher Order Functions
  • Anonymous Functions
  • 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

Hands-on:

  • Creating objects and classes
  • Working with higher order functions
  • Creating constructors in Scala

Skills You will Learn:

  • Implementing OOPs Concepts
  • Functional Programming

Deep Dive into Apache Spark Framework

8 Topics

Topics:

  • Spark’s Place in Hadoop Ecosystem
  • Spark Components & its Architecture
  • Spark Deployment Modes
  • Introduction to Spark Shell
  • Writing your first Spark Job Using SBT
  • Submitting Spark Job
  • Spark Web UI
  • Data Ingestion using Sqoop

Hands-on:

  • Building and Running Spark Application
  • Spark Application Web UI
  • Configuring Spark Properties
  • Data ingestion using Sqoop

Skills You will Learn:

  • Writing basic Sprk application
  • Spark architecture and its components
  • Ingesting structured data into HDFS

Playing with Spark RDDs

11 Topics

Topics:

  • Challenges in Existing Computing Methods
  • Probable Solution & How RDD Solves the Problem
  • What is RDD, It’s Operations, Transformations & Actions
  • Data Loading and Saving Through RDDs
  • Key-Value Pair RDDs
  • Other Pair RDDs, Two Pair RDDs
  • RDD Lineage
  • RDD Persistence
  • WordCount Program Using RDD Concepts
  • RDD Partitioning & How It Helps Achieve Parallelization
  • Passing Functions to Spark

Hands-on:

  • Loading data in RDDs
  • Saving data through RDDs
  • RDD Transformations
  • RDD Actions and Functions
  • RDD Partitions
  • WordCount through RDDs

Skills You will Learn:

  • Transformations and actions in Spark
  • Implementing RDDs in Spark

DataFrames and Spark SQL

10 Topics

Topics:

  • Need for Spark SQL
  • What is Spark SQL?
  • Spark SQL Architecture
  • SQL Context in Spark SQL
  • User Defined Functions
  • Data Frames & Datasets
  • Interoperating with RDDs
  • JSON and Parquet File Formats
  • Loading Data through Different Sources
  • Spark – Hive Integration

Hands-on:

  • Spark SQL – Creating Data Frames
  • Loading and Transforming Data through Different Sources
  • Stock Market Analysis
  • Spark-Hive Integration

Skills You will Learn:

  • Working with DataFrame API
  • Querying structured data using Spark SQL
  • Integrating Spark with Hive

Machine Learning using Spark MLlib

8 Topics

Topics:

  • Why Machine Learning?
  • What is Machine Learning?
  • Where Machine Learning is Used?
  • Face Detection: USE CASE
  • Different Types of Machine Learning Techniques
  • Introduction to MLlib
  • Features of MLlib and MLlib Tools
  • Various ML algorithms supported by MLlib

Hands-on:

  • Face detection use case

Skills You will Learn:

  • Understanding machine learning
  • Functions and features of MLlib

Deep Dive into Spark MLlib

3 Topics

Topics:

  • Supervised Learning - Linear Regression, Logistic Regression, Decision Tree, Random Forest
  • Unsupervised Learning - K-Means Clustering & How It Works with MLlib
  • Analysis on US Election Data using MLlib (K-Means)

Hands-on:

  • Machine Learning MLlib
  • K- Means Clustering
  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Random Forest

Skills You will Learn:

  • Working with machine learning algorithms
  • Implementing Spark MLlib

Understanding Apache Kafka and Apache Flume

16 Topics

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
  • Kafka Producer and Consumer Java API
  • 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

Hands-on:

  • Configuring Single Node Single Broker Cluster
  • Configuring Single Node Multi Broker Cluster
  • Producing and consuming messages
  • Flume Commands
  • Setting up Flume Agent
  • Streaming Twitter Data into HDFS

Skills You will Learn:

  • Ingesting unstructured data into HDFS
  • Working with Kafka command line tools

Apache Spark Streaming - Processing Multiple Batches

12 Topics

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
  • Describe Windowed Operators and Why it is Useful
  • Important Windowed Operators
  • Slice, Window and ReduceByWindow Operators
  • Stateful Operators

Hands-on:

  • Creating a DStream
  • Transformation on DStreans
  • Creating streaming context

Skills You will Learn:

  • Working with DStream API

Apache Spark Streaming - Data Sources

5 Topics

Topics:

  • Apache Spark Streaming: Data Sources
  • Streaming Data Source Overview
  • Apache Flume and Apache Kafka Data Sources
  • Example: Using a Kafka Direct Data Source
  • Perform Twitter Sentimental Analysis Using Spark Streaming

Hands-on:

  • Different Streaming Data Sources
  • Integrating Spark with Kafka and Flume
  • Twitter Sentimental Analysis

Skills You will Learn:

  • Real time data processing
  • Building data pipelines

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Apache Spark Course Description

About the Apache Spark and Scala Online Course

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 along with how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. This course also covers RDDs, Spark SQL for structured processing, different APIs offered by Spark such as Spark Streaming, Spark MLlib. This Scala online 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.

What are the objectives of our Online Spark Training Course?

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 fall 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

Why should you go for Online Spark Training?

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.

What are the skills that you will be learning with our Spark Certification Training?

The Edureka’s Spark Training is designed to help you become a successful Spark developer. During this course, our expert instructors will train you to-
  • Write Scala Programs to build Spark Application
  • Master the concepts of HDFS
  • Understand Hadoop 2.x Architecture
  • Understand Spark and its Ecosystem
  • Implement Spark operations on Spark Shell
  • Implement Spark applications on YARN (Hadoop)
  • Write Spark Applications using Spark RDD concepts
  • Learn data ingestion using Sqoop
  • Perform SQL queries using Spark SQL
  • Implement various machine learning algorithms using Spark MLlib API
  • Explain Kafka and its components
  • Understand Flume and its components
  • Integrate Kafka with real time streaming systems like Flume
  • Use Kafka to produce and consume messages
  • Build Spark Streaming Application
  • Process Multiple Batches in Spark Streaming
  • Implement different streaming data sources

  • Who should take this Apache Spark Certification Course?

    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

  • How will Apache Spark Certification Training help your career?

    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 2025

  • 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.

    What are the pre-requisites for our Spark and Scala Certification Training?

    There are no such prerequisites for our Spark Scala Certification Training. However, prior knowledge of Java Programming and SQL will be helpful but is not at all mandatory.

    How will I execute the Practicals in this Spark Certification Training?

    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.

    What is CloudLab?

    CloudLab is a cloud-based Spark and Hadoop environment that Edureka offers with the Spark 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.

    What are the system requirements for our Apache Spark Certification Training?

    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 course.

    Apache Spark Certification Training Course Projects

     certification projects

    Industry: Finance

    A leading financial bank is trying to broaden the financial inclusion for the unbanked population by providing a positive and safe borrowing experience. In order to make sure thi....
     certification projects

    Industry: Transportation

    With the spike in pollution levels and the fuel prices, many Bicycle Sharing Programs are running around the world. Bicycle sharing systems are a means of renting bicycles where ....

    Apache Spark Certification

    To unlock the Edureka’s Apache Spark and Scala Training course completion certificate, you must ensure the following:

    • Completely participate in this Apache Spark Certification Training Course.
    • Evaluation and completion of the assessments and projects listed.
    • You must complete the course and earn a minimum score of 80% in the assessment.
    Big Data is everywhere and there is almost an urgent need to collect and preserve whatever data is being generated, for the fear of missing out on something important. This is why Big Data Analytics is in the frontiers of IT and has become crucial as it aids in improving business, decision making and providing the biggest edge over the competitors. Technology professionals who are experienced in Analytics are in high demand as organizations are looking for ways to exploit the power of Big Data. The number of job postings related to Analytics has increased substantially over the last 12 months. This apparent surge is due to the increased number of organizations implementing Analytics and thereby looking for Big Data Analytics professionals. In spite of Big Data Analytics being a ‘Hot’ job, there is still a large number of unfilled jobs across the globe due to shortage of required skill. Choosing a career in the field of Big Data and Analytics will be a fantastic career move, and it could be just the type of role that you have been trying to find.
    Beginners can become familiar with Apache Spark easily as it is a user-friendly framework. To learn its capabilities and functionality, it requires appropriate direction and a well structured training path. Beginners interested in a career in Big Data Analytics can sign up for our training and earn certificates to demonstrate their expertise in this domain.
    It is a globally popular framework for analysing and processing real time data. The demand for Apache Spark training is on the rise and there are many profitable employment possibilities and positions in tech organizations, making this the ideal time for candidates to enroll and earn certification. Due to the wide range of job options and prospects, learning Apache Spark and Scala skills and start working straight away are also strongly recommended.
    Our Apache Spark certification course is designed to develop skills and evaluate candidates' knowledge. Apache Spark is currently the most advanced technology globally that opens the door to many possibilities for professionals seeking to make growth in the Big Data Analytics field. Following the completion of this certification, you will have access to a wide range of job possibilities and will prepare you for a career as a Big Data Developer, Big Data Engineer, Big Data Analyst, and many more.
    Please visit the page which will guide you through the top Apache Spark Interview questions and answers.
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    Apache Spark Training FAQs

    What if I miss a class of Apache Spark training?

    "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."

    What if I have queries after I complete this Apache Spark online course?

    Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

    How soon after Signing up would I get access to the Learning Content?

    Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover the access to our 24x7 support team will be granted instantly as well. You can start learning right away.

    Is the Apache Spark Certification Course material accessible to the students even after the course training is over?

    Yes, the access to the course material will be available for lifetime once you have enrolled into the Apache Spark online course.

    Can I attend a demo session before enrollment?

    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.

    Who are the instructors of Apache Spark online training?

    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.

    What if I have more queries?

    You can give us a CALL at +91 90660 20867/1844 230 6362 (US Tollfree Number) OR email at sales@edureka.co

    Why learn Apache spark? What are the career benefits?

    Apache Spark is one of the leading Big Data frameworks that is in demand today. Spark is the next evolutionary change in big data processing environments as it provides batch as well as streaming capabilities. This makes it the ideal framework for anyone looking for speed data analysis. With companies showing eagerness to adopt Spark in their system, learning this framework can help you climb up your career ladder as well.

    How to learn Scala For Spark?

    Scala stands for Scalable languages. Edureka’s training program is what you need if you are looking to master Spark with Scala. Our course module starts from the beginning and covers every module necessary. With our instructor led sessions and a 24x7 support system, we make sure that you achieve your learning objectives.

    How to learn Apache Spark?

    Edureka’s vast repository of guides, tutorials and full-fledged course will not only help you in understanding Spark, but also in mastering it. You can check out our blogs to get started with Spark and have basic foundational knowledge. Our tutorials will then help you in taking a deeper dive and understanding the underlying concepts. After this, our training will help you in truly mastering the technology with instructor led sessions and real-word hands-on.

    How much time does it take to learn Spark?

    Edureka’s Spark and Scala training is a 6 weeks structured training program aimed at helping our learners master Spark with Scala. In these 6 weeks, you will be attending classes for the live instructor led sessions and also working on various assignments and projects that will help you to have strong understanding of the Spark ecosystem.

    How long will it take to complete the course?

    Edureka’s Spark and Scala Certification Training offers variable batch schedule to suit everyone’s needs. The weekend batches run for 6 weeks of live instructor led sessions. Which is then followed by real-time project for better hands-on. The accelerated program or the weekday batches can be completed in much shorter time with rigorous training sessions and live project to work-on at the end. 

    Why take online Spark and Scala course? How is it better than offline course?

    Learning pedagogy has evolved with the advent of technology. Online training adds convenience and quality to the training module. With our 24x7 support system, our online learners will have someone to help them all the time even after the class ends. This is one of the driving factors to make sure that people achieve their end learning objective. We also provide life-time access of our updated course material to all our learners.

    How can a beginner learn Spark and Scala?

    Big data as a technology is dominating the job market. For complete beginners, we have compiled an extensive list of blogs and tutorials on our blogging and Youtube channel  which can definitely be a great help if you are looking to start out. Once, you are clear with the basic concepts, you can think about taking up Edureka’s Apache Spark and Scala Certification Training to truly master the technology.

    What are the top Apache Spark certifications that I can go for?

    Followings are the top 5 certification:

    • Cloudera Spark and Hadoop Developer
    • HDP Certified Apache Spark Developer
    • MapR Certified Spark Developer
    • Databricks Apache Spark Certifications
    • O’Reilly Developer Apache Spark Certifications

    Top Reasons why one should become a certified Spark Developer?

    If you are thinking about a career in big data, this is the first step to getting the spark certification. This certification will give you a boost in your career. Once you are certified by spark, you will have the validation of your Spark skills. This certification is highly sought-after by almost all companies.

    It is easy to obtain Spark certification preparation. There are many ways to get certified. The best reason to get certified is that it will give you an edge over your peers. Because there is fierce competition outside.

    What you need to know about Databricks Certified Associate Developer for Apache Spark 3.0?

    Databricks Certified Associate developer for Apache Spark 3.0 certification tests your understanding of Spark DataFrame API. It also assesses your ability to use the Spark DataFrame API in order to perform basic data manipulation tasks within a Spark session. These tasks include manipulating, filtering, dropping and sorting columns, handling missing data, and combining, reading and writing DataFrames with schemas. They also involve working with UDFs or Spark SQL functions. The exam will also assess fundamental aspects of Spark architecture such as execution/deployment mode, execution hierarchy, fault tolerance and garbage collection.
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