Apache Spark Training

5 ( 531 Learners)

Get Your Dream Job With Our Apache Spark Certification Training

30+ Hrs

Hands On Training

Lifetime Access

Updated Content

Customizable

Learning Paths

Industry Expert

Mentors

Projects

Advanced Interactive

Apache Spark Course Overview

Welcome to HKRTrainings' Apache Spark Training! This course is designed to equip you with comprehensive knowledge and skills in Apache Spark, a powerful open-source distributed computing system.

Prerequisites

To apply for the Apache Spark Certification Training, you need to either:

  • Basic computer literacy.
  • Good communication skills.
  • Good Mathematics and Statistical skills.
  • Analytics skills.
  • Basic programming skills.
  • Basic education qualifications (12th, Graduation, Post Graduation, Diploma, etc.)

Apache Spark Course Content

We have collaborated with industry experts to create this Apache Spark Course curriculum at HKR Trainings to provide the learners with the best possible training. Below are some of the modules which will be covered during this course.

Topics: 

  • Introduction to Spark Difference between Spark and Map
  • Reduce Interactive operations on Map
  • Reduce Understanding in-memory Map
  • ReduceFine vs coarse-grained update
  • Spark stack, HDFS Revision, Spark Hadoop YARN, and YARN Revision. 
  • Spark Deployment without using Hadoop
  • Cloudera distribution and Spark history server

Topics: 

  • Spark installation Memory management
  • Spark configuration
  • Executor memory vs. driver memory
  • Basics of Spark Shell
  • Overview of resilient distributed datasets (RDD). 
  • Spark Architecture Executing functional programing in Spark 

Topics: 

  • Introduction to Spark RDD Operations and transformation in RDD
  • Creating RDDs, and RDD partitioning
  • Detailed knowledge of Resilient distributed datasets (RDD) 
  • Typical operations on RDD Deploying RDD for faster and efficient data processing
  • RDD action for gathering, collects map, pair RDD functions, and save-as-text-files.

Topics: 

  • Introduction to Key-Value Pairs in RDDs, Understanding why spark is faster than Map
  • reduce MapReduce interactive operations
  • Various operations of RDD, Spark stack and coarse-grained update.

Topics: 

  • Spark applications VS Spark Shell
  • Developing Spark applications using Java or Scala Scala built application
  • Spark application deployment Set and set operations and mutable list creation
  • Application creation using SBT
  • Application deployment using Maven Spark user interface web application Spark configuration process 

Topics: 

  • Overview of Spark parallel processing
  • introduction to Spark partitions
  • RDDs file-based partitioning Techniques of parallel processing Introduction to HDFS and data locality
  • Making comparisons between repartition and RDD actions and coalesce. 

Topics: 

  • Spark execution flow Overview of RDD persistence
  • Spark terminology and Spark execution flow Comparison between distributed shared memory and RDD
  • Distributed persistence and Spark shell arguments Overview of Count
  • ByKey, SortByKey, ReduceByKey and  AggregateByKey 

Apache Spark projects

Project 1

Predicting Flight Delays

In this project you would be working on designing an end to end application to forecast delays in flights. You can even use spark .....for performing practical Statistical analysis over an airline datasets. Read more

Project 2

Streaming Analytics

In the industries like Finance and security, the streaming analytics applications are very popular. In this project you would be b.....uilding an intrusion and anomaly detection tool with HBase as a general data store. Read more

Project 3

Complex Event Processing

In this project you would explore applications having ultra low latency which involves nanoseconds, picoseconds and sub seconds

Apache Spark Training Options

LIVE ONLINE TRAINING

  • Interactive sessions
  • Learn by doing
  • Instant doubt resolution
  • Expert's Guidance
  • Industry-ready skills
Batch Start Date Time
Weekday 2-Apr - 2-May 09:30 AM IST
Weekend 6-Apr - 6-May 11:30 AM IST
Weekday 10-Apr - 10-May 01:30 PM IST

1:1 LIVE ONLINE TRAINING

  • Exclusive training
  • Flexible timing
  • Personalized curriculum
  • Hands-on sessions
  • Simplified Learning

Exclusive learning from industry experts

SELF-PACED E-LEARNING

  • Skill up easily
  • Learn in no hurry
  • Less expensive
  • Unlimited access
  • Convenient

Hone your skills from anywhere at anytime

Corporate Training

Employee and Team Training Solutions

Top Companies Trust HKR Trainings

Our Learners

Harshad Gaikwad

Harshad Gaikwad

Practice Head

5
I had an insightful experience with HKR Trainings while participating in the ServiceNow ITOM (IT Operations Management) Training online. Engaging in instructor-led sessions, the trainer offered detailed insights into various ServiceNow ITOM modules and practices. Throughout the course, the support team was consistently available, and the trainer adeptly clarified all my inquiries, ensuring a comprehensive understanding of ServiceNow ITOM concepts.
Balaji Gnanasekar

Balaji Gnanasekar

IT Analyst

5
I had a comprehensive learning journey with HKR Trainings while undertaking the PostgreSQL Training online. Engaging in instructor-led sessions, the trainer delved deep into various PostgreSQL functionalities and best practices. Throughout the training, the support team remained attentive, and the trainer skillfully addressed all my questions, facilitating a solid grasp of PostgreSQL concepts.
Amit Singh

Amit Singh

Technical Lead - Service Now

5
I had a rewarding experience with HKR Trainings while delving into the ServiceNow ITOM (IT Operations Management) Training online. Engaging in instructor-led sessions, the trainer provided comprehensive insights into various ServiceNow ITOM modules and best practices. Throughout the course, the support team was consistently available, and the trainer adeptly addressed all my queries, ensuring a robust understanding of ServiceNow ITOM concepts.

Apache online training Objectives

  • Apache Spark and Scala Programming
  • Scala and it's programming implementation
  • Implementing Spark on a cluster
  • Writing Spark applications using Java, Python and Scala
  • RDD and it's operations, along with the implementation of spark algorithms
  • Defining and explaining spark streaming
  • Working on projects using Scala to run on Spark applications.

This Apache Spark certification course is ideal for the following list:

  • Data Scientists and analytics professional

  • Graduates who want to build their career in big data

  • Software engineers looking for upgrading their skills

  • Data Engineers and ETL developers

Basic knowledge of Database, SQL and query language can help to learn Spark and Scala.

This Apache Spark certification training makes it easy to understand and helps one to create robust applications for projects of any size. 

All of our trainers are certified and highly qualified, having many years of experience working with front-end technology development.

  • Apache Spark is an open-source computing framework that works faster than MapReduce.
  • Spark is the best data processing platform in the form of batches and streaming.
  • It helps you to prepare yourself for the Cloudera Hadoop Developer and Spark Professional Certification.
  • By taking up this course, get professional credibility to your resume so that you get hired faster with a high salary.

To start with this Spark Training, you need to either click on the Enroll Now icon at the top of the screen, or contact us at our customer care number, or just enter your details in the pop-up and submit it. Our Support Team will contact you as soon as possible and give you more information regarding the training process.

Attending Spark Training will differentiate you from the other people. It will boost your skills, confidence, and career. It will help you to get a salary hike. It will also help you to obtain better job opportunities with the best package.

FAQ's

Every class is recorded. If you have missed your class, you can learn those concepts from the recorded sessions of the missed class. So, No worries!

Yes! Right from the first day of your Spark Training, our trainers make sure that you understand all the concepts and provide you with complete guidance to reach your dream job. And when you complete your course, we will also assist you in your resume preparation which will give you the confidence to clear your interview. Moreover, We are also tied up with some corporate companies. So when they have a requirement, we send your profiles to them.

At HKR, we provide a free demo session for training seekers so they can verify our quality and method of education before they enroll.

Our trainers are professionals with more than ten years of experience in the same domain. They are well-acquainted personnel with a flair for making learning fun and easy. We select them based on their skills and work experience.

You can contact our customer care number if your query does not belong to any of the questions we have addressed in this page. We will get back to you as soon as possible.

HKR Trainings assures that the learners get a quality course from our trainers. You (the learners) will have lifetime access to recorded sessions. So in case of any doubts, you can watch these recorded sessions or even can ask your trainers to clarify them. Moreover, you will also be working on a real-time project which will help you understand the concepts more clearly. So there is no question of not being satisfied.

It is a distributed processing system that can be used for big data workloads. It uses optimized query execution and in-memory caching for the quick analytics queries against data of any size.

Spark engineers are in high demand in the market as per the surveys. Various organizations across the world are using Apache spark for their projects.

Apache Spark is the trendiest big data technology, which has an open-source analytics tool for data processing at a large scale. So there is no doubt that learning Apache Spark will offer you a number of opportunities in 2023 and beyond.

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