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Apache Spark and Scala Certification Training ( L063 )

4.5 + (25,859) Students Ratings

IQ Training’s Apache Spark and Scala Certification course is designed to give you an in-depth knowledge of Apache Spark and Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will get an adequate amount of knowledge on the Scala Programming language, Spark GraphX, HDFS, Sqoop, Flume, and Kafka. You will work on real-life use cases in this Spark and Scala course.

Course Price :

₹22,765
₹25,294
10%
off
Available

Live Instructor

Self Paced

Think Bigger Advantage

Live Online Classes

All our Classes are Live Instrucotor led online sessions. You can attend at the comfort of your place and Login to our Classes.

LMS (Learning Management System)

LMS will help you to organize your all training material, session videos and review at later date. You can access LMS anytime and review your completed classes. If you miss any class, then you can review the missed class in LMS.

Flexible Schedule

For some reasons, you can not attend the Classes, we can enroll you in the next possible classes. we assure flexibility in class schdules.

Lifetime Access to Learning Platform

You will get Lifetime free access to LMS(Learning Mangement System) You can access all Videos, class room assignments, quizzes, Projects for Life time. You will also get free video sessions for Life time.

Highest Completion Rate

We have the highest course completion rate in the Industry. If you miss a class, you can opt for the missed class in different batch. We assure you the best training possible for you to succeed.

Certificate of Completion

We provide you the Industry recognized Certification of Course completion This certificate will sometimes helps you to get reimbursement of training expenses by your company.

Training Schedule
Batch Start Date Days of Training Weekday/ Weekend Timings
27-Mar-2020 Available SAT & SUN (6 WEEKS) Weekend Batch 09:30 PM - 12:30 AM (EST)
18-Apr-2020 Available SAT & SUN (6 WEEKS) Weekend Batch 11:00 AM - 02:00 PM (EST)
 
 
 
 
 

Course Curriculum

Learning Objectives: This module helps you to know about Big Data and its components such as HDFS. Also, about the Hadoop Cluster Architecture, Introduction to Spark and the difference between batch processing and real-time processing.

 

                

            Topics

  • Define Big Data
  • Understand the Big Data Customer Scenarios
  • Explain the Limitations and Solutions of Existing Data Analytics Architecture with Uber Use Case
  • Understand how Hadoop solves the Big Data problem?
  • Define Hadoop
  • What are the Hadoop’s Key Characteristics
  • Explain the Hadoop Ecosystem and HDFS
  • What are the Hadoop Core Components
  • Explain Rack Awareness and Block Replication
  • Describe YARN and its Advantage
  • Describe the Hadoop Cluster and its Architecture
  • Explain Hadoop: Various Different Cluster Modes
  • Explain Big Data Analytics with Batch and Real-time Processing
  • Understand why Spark is needed?
  • Define Spark
  • Understand how Spark differs from other frameworks?
  • Know the Spark at Yahoo!

Learning Objectives: This module helps you to understand the basics of Scala that are required for programming Spark applications. Also, about the basic constructs of Scala such as variable types, control structures, collections such as Array, ArrayBuffer, Map, Lists, and many more.

 

Topics:

  • Define Scala
  • Understand why Scala for Spark?
  • Know the Scala in other Frameworks
  • Scala REPL - Introduction
  • Learn the basic Scala Operations
  • Understand the variable types in Scala
  • Understand the Control Structures in Scala
  • Describe Foreach loop, Functions, and Procedures
  • Explain Collections in Scala- Array
  • Describe ArrayBuffer, Map, Tuples, Lists, and more

Hands-on:

  • Detailed Demo on Scala REPL 

Learning Objectives: This module will help you to know about object-oriented programming and functional programming techniques in Scala.

 

Topics:

  • Introduction of Functional Programming
  • What are Higher-Order Functions
  • What is Anonymous Functions
  • Define Class in Scala
  • Define Getters and Setters
  • Explain Custom Getters and Setters
  • What are the Properties with only Getters
  • Describe Auxiliary Constructor and Primary Constructor
  • Define Singletons
  • How to extend a Class
  • How to override Methods
  • Explain Traits as Interfaces and Layered Traits

 

Hands-on:

  • Concepts of OOPs
  • Functional Programming

Learning Objectives: This module helps you to know about Apache Spark and understand how to develop Spark applications. Also, know how to perform data ingestion using Sqoop.

 

Topics:

  • Understand the Spark’s Place in the Hadoop Ecosystem
  • Explain Spark Components and its Architecture
  • What are the Spark Deployment Modes
  • Spark Shell - Introduction
  • How to write your first Spark Job using SBT
  • How to submit Spark Job
  • Define Spark Web UI
  • Explain Data Ingestion using Sqoop

 

Hands-on:

  • How to build and run a Spark Application
  • Define Spark Application Web UI
  • How to configure Spark Properties
  • Explain Data ingestion using Sqoop

Learning Objectives: This module helps you to understand the playing with Spark RDDs and also other RDD related manipulations for implementing business logic (Transformations, Actions, and Functions performed on RDD).

 

Topics:

  • Learn what are the challenges in existing Computing Methods
  • What is a probable solution and How RDD solves the problem
  • Describe RDD - it’s Operations, Transformations, and Actions
  • Explain Data Loading and Saving through RDDs
  • Explain Key-Value Pair RDDs
  • Explain Other Pair RDDs, Two Pair RDDs
  • Define RDD Lineage
  • Define RDD Persistence
  • Explain WordCount Program Using RDD Concepts
  • Describe RDD Partitioning and How it helps achieve Parallelization
  • How to pass Functions to Spark

 

Hands-on:

  • How to load data in RDDs
  • How to save data through RDDs
  • Define RDD Transformations
  • Explain RDD Actions and Functions
  • Define RDD Partitions
  • Explain WordCount through RDDs

Learning Objectives: This module introduces Spark SQL which is used to process structured data with SQL queries, data-frames and datasets in Spark SQL along with different kinds of SQL operations performed on the data-frames. Also, know about Spark and Hive integration.

 

Topics:

  • Why Spark SQL is needed
  • Define Spark SQL
  • Architecture of Spark SQL
  • Explain SQLContext in Spark SQL
  • What are User-Defined Functions
  • Describe Dataframes and Datasets
  • Explain Interoperating with RDDs
  • Describe JSON and Parquet File Formats
  • Understand Loading Data through Different Sources
  • Know the Spark – Hive Integration

 

Hands-on:

  • Understand Spark SQL – Creating Data Frames
  • Learn about the Loading and Transforming Data through Different Sources
  • Understand Stock Market Analysis
  • Know the Spark-Hive Integration

Learning Objectives: This module helps you to understand why machine learning is needed, different Machine Learning techniques/algorithms, and Spark MLlib.

 

Topics:

  • The Need for Machine Learning
  • Introduction of Machine Learning
  • Understand where Machine Learning is used?
  • Understand Face Detection: USE CASE
  • What are the different types of Machine Learning Techniques
  • MLlib - Introduction
  • Explain the features of MLlib and MLlib Tools
  • What are the various ML algorithms supported by MLlib

Learning Objectives: This module helps you to understand how to implement various algorithms supported by MLlib such as Linear Regression, Decision Tree, Random Forest and many more.

 

Topics:

  • Understand Supervised Learning - Linear Regression, Logistic Regression, Decision Tree, Random Forest
  • Understand Unsupervised Learning - K-Means Clustering and how It Works with MLlib
  • Explain the analysis of US Election Data using MLlib (K-Means)

 

Hands-on:

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

Learning Objectives: This module helps you to learn Kafka and its Architecture. know about Kafka Cluster, how to configure different types of Kafka Cluster. Know Apache Flume, its architecture and how it is integrated with Apache Kafka for event processing. Also, know how to ingest streaming data using flume.

 

Topics:

  • Why Kafka is needed
  • Define Kafka
  • Understand the core concepts of Kafka
  • Architecture of Kafka
  • Know where Kafka is used?
  • Describe the components of Kafka Cluster
  • How to configure Kafka Cluster
  • Explain Kafka Producer and Consumer Java API
  • Why Apache Flume is needed
  • Define Apache Flume
  • Understand the basic Flume Architecture
  • Define Flume Sources
  • Define Flume Sinks
  • Define Flume Channels
  • Know the Flume Configuration
  • Learn about Integrating Apache Flume and Apache Kafka

 

Hands-on:

  • How to configure Single Node Single Broker Cluster
  • How to configure Single Node Multi Broker Cluster
  • Understand Producing and consuming messages
  • Know the Flume Commands
  • How to set up Flume Agent
  • How to stream Twitter data into HDFS

Learning Objectives: This module helps you to know how to work on Spark streaming which is used to build scalable fault-tolerant streaming applications. Know about DStreams and various Transformations performed on the streaming data. Also, learn about commonly used streaming operators such as Sliding Window Operators and Stateful Operators.

 

Topics:

  • What are the drawbacks in existing Computing Methods
  • Need of Streaming
  • Define Spark Streaming
  • What are the Features of Spark Streaming
  • Understand the Spark Streaming Workflow
  • Know how Uber Uses Streaming Data
  • Describe Streaming Context and DStreams
  • Explain Transformations on DStreams
  • Explain Windowed Operators and Why it is Useful
  • What are the important Windowed Operators
  • Describe Slice, Window and ReduceByWindow Operators
  • Describe Stateful Operators

Learning Objectives: This module helps you to understand the different streaming data sources such as Kafka and flume. Also, learn how to create a spark streaming application.

 

Topics:

  • Describe Apache Spark Streaming: Data Sources
  • Explain the Streaming Data Source Overview
  • Explain Apache Flume and Apache Kafka Data Sources
  • Understand the Example: Using a Kafka Direct Data Source
  • Learn how to perform Twitter Sentiment Analysis using Spark Streaming

 

Hands-on:

  • Learn the different Streaming Data Sources

Learning Objectives: This module will help you to work on the complete financial domain project covering all the major concepts of Spark taught during the course.

Learning Objectives: This module will help you to learn the key concepts of Spark GraphX programming and operations along with different GraphX algorithms and their implementations.

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Course Details

The Spark Scala Course offers:

 

  • Big Data and Hadoop Overview which includes Hadoop Distributed File System (HDFS) & Yet Another Resource Negotiator (YARN) 
  • Knowledge of various tools like Spark SQL, Spark MlLib, Sqoop, Kafka, Flume and Spark Streaming
  • The capability to ingest data in Hadoop Distributed File System by using Sqoop & Flume, 
  • Comprehensive Knowledge on how to analyze the large datasets stored in the HDFS
  • The capability of handling real-time data feeds through Kafka, which is a publish subscribe messaging system.
  • Exposure to real-time industry-based projects which are diverse in nature covering banking, telecommunication, social media and government domains.

Big Data Analytics market growth is increasing tremendously across the world and demand is for Big data analytics professionals is also increasing with the market growth. The following are the IT Professionals, who are continuously enjoying the benefits and perks of moving into the Big Data domain.

  • Developers and Architects
  • BI /ETL/DW Professionals
  • Senior IT Professionals
  • Testing and Mainframe Professionals
  • Freshers & Big Data Enthusiasts
  • Software Architects, Engineers, and Developers
  • Data Scientists and Analytics Professionals

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

Apache Spark and Scala Certification Training Ceritficate

Apache Spark and Scala Certification Training Reviews

25,859

Total number of reviews

4.5

Aggregate review score

80%

Course completion rate

Apache Spark and Scala Certification Training Features

Live Online Classes

All our Classes are Live Instructor led online sessions. You can attend at the comfort of your place and Login to our Classes.

LMS (Learning Management System)

LMS will help you to organize your all training material, session videos and review at later date. You can access LMS anytime and review your completed classes. If you miss any class, then you can review the missed class in LMS.

Flexible Schedule

For some reasons, you can not attend the Classes, we can enroll you in the next possible classes. we assure flexibility in class schedules.

Lifetime Access to Learning Platform

You will get Lifetime free access to LMS(Learning Mangement System) You can access all Videos, class room assignments, quizzes, Projects for Life time. You will also get free video sessions for Life time.

Highest Course Completion Rate

We have the highest course completion rate in the Industry. If you miss a class, you can opt for the missed class in different batch. We assure you the best training possible for you to succeed.

Certificate of completion

We provide you the Industry recognized Certification of Course completion This certificate will sometimes helps you to get reimbursement of training expenses by your company.

Like the course? Enroll Now

Structure your learning and get a certificate to prove it.

Apache Spark and Scala Certification Training FAQs

You will never miss a class at IQ Online Training! You can choose either of the two options:

  1. View the recorded session of the class available in your LMS or
  2. You can attend the missed session in any other live batch.

After the enrolment, the LMS access will be instantly provided to you able to access for lifetime which includes complete set of previous class recordings/PPTs/PDFs/assignments. You can start learning right away.

Your access to the Support Team is for lifetime. Our team will help you in resolving queries, during and after the course.

Yes, once enrollment has done for course. Access to the course material will be available for lifetime.

You can Call our support numbers listed in site OR Email us at info@iqtrainings.com.

You can view in-depth class sample recordings before the enrollment. Experience the complete learning instead of a demo session with our expertise.

All the instructors are Industry experts with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are well trained for providing an awesome learning experience to the participants.

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