Apache Spark and Scala Certification Training - New York, USA

Intellipaat Spark and Scala training in New York is directly in line with clearing the Cloudera certification and includes all the vital components of Spark Core, SQL, Spark Streaming, MLlib and the Scala programming language. You are offered high-value projects to get hands-on experience in the industry.

Get Python course free with this course!

Key Features

  • Instructor Led Training : 24 Hrs
  • Self-paced Videos : 22 Hrs
  • Exercises & Project Work : 60 Hrs
  • Certification and Job Assistance
  • Flexible Schedule
  • Lifetime free upgrade
  • 24/7 Lifetime Support and Access

About Spark and Scala Training Course

Intellipaat is a leading online training provider in New York offering the most industry-recognized Apache Spark training. As part of this course, you will be getting thorough knowledge about the core and implied concepts of Spark and Scala such as Spark RDDs, Dataframes, parallel processing, Spark SQL, Scala programming fundamentals and much more.

What will you learn in this training?

  1. Spark and Scala fundamentals
  2. Difference between Spark and Hadoop
  3. Spark performance improvement
  4. Data aggregation in Spark
  5. Spark algorithms
  6. Writing programs in Scala
  7. Writing Spark applications in Scala, Java and Python
  8. Pattern matching

Who should take up this Spark and Scala course?

  • Software Engineers looking to upgrade Big Data skills
  • Data Engineers and ETL Developers
  • Data Scientists and Analytics Professionals
  • Graduates looking to make a career in Big Data

What are the prerequisites for this course?

There are no prerequisites for taking up this course. Basic knowledge of database, SQL and query language can help.

What are the Spark and Scala job opportunities in New York?

A Spark Developer earns up to $239,000 annually, which is way higher than what other cities around the globe offer to the Big Data Analysts. This clearly specifies that this city has lucrative career opportunities for aspirants who have sound knowledge in Big Data processing engines like Apache Spark and the budding programming languages like Scala. Therefore, for anyone who wishes to kick-start his career as a Big Data professional in New York, now is the time. Intellipaat offers the industry-designed Spark certification training in New York.

What is the Spark and Scala market trend in New York?

New York has one of the strongest economic scenarios with strong technology sector standing at the forefront. The companies in this city are increasingly looking for faster Big Data technologies and strong programming languages to process streaming data in real time. This is possible through the combination of Apache Spark and Scala, and hence the aspirants who wish to become Big Data Analysts should definitely enroll in this course.

Why should you take up Apache Spark and Scala training course?

With the influx of data, it is imperative for the companies to deploy faster Big Data technologies like Apache Spark. Since Scala increases the functionality of Spark, an increasing number of companies are adopting these technologies together. Intellipaat’s Apache Spark and Scala training course lets you gain proficiency and expertise in these two technologies through lab sessions and real-time projects. This course also helps you prepare for the Cloudera Spark and Hadoop Developer Certification (CCA175) exam.

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Spark and Scala Course Content

Scala Course Content

Introduction to Scala

Introducing Scala, deployment of Scala for Big Data applications and Apache Spark analytics, Scala REPL, Lazy Values, Control Structures in Scala, Directed Acyclic Graph (DAG), First Spark Application Using SBT/Eclipse, Spark Web UI and Spark in Hadoop Ecosystem.

Pattern Matching

The importance of Scala, the concept of REPL (Read Evaluate Print Loop), deep dive into Scala pattern matching, type interface, higher-order function, currying, traits, application space and Scala for data analysis

Executing the Scala Code

Learning about the Scala Interpreter, static object timer in Scala and testing string equality in Scala, implicit classes in Scala, the concept of currying in Scala and various classes in Scala

Classes Concept in Scala

Learning about the Classes concept, understanding the constructor overloading, various abstract classes, the hierarchy types in Scala, the concept of object equality and the val and var methods in Scala

Case Classes and Pattern Matching

Understanding sealed traits, wild, constructor, tuple, variable pattern and constant pattern

Concepts of Traits with Example

Understanding traits in Scala, the advantages of traits, linearization of traits, the Java equivalent and avoiding of boilerplate code

Scala–Java Interoperability

Implementation of traits in Scala and Java and handling of multiple traits extending

Scala Collections

Introduction to Scala collections, classification of collections, the difference between Iterator and Iterable in Scala and example of list sequence in Scala

Mutable Collections Vs. Immutable Collections

The two types of collections in Scala, Mutable and Immutable collections, understanding lists and arrays in Scala, the list buffer and array buffer, queue in Scala and double-ended queue Deque, Stacks, Sets, Maps and Tuples in Scala

Use Case Bobsrockets Package

Introduction to Scala packages and imports, the selective imports, the Scala test classes, introduction to JUnit test class, JUnit interface via JUnit 3 suite for Scala test, packaging of Scala applications in Directory Structure and examples of Spark Split and Spark Scala

Spark Course Content

Introduction to Spark

Introduction to Spark, how Spark overcomes the drawbacks of working on MapReduce, understanding in-memory MapReduce, interactive operations on MapReduce, Spark stack, fine vs. coarse-grained update, Spark stack, Spark Hadoop YARN, HDFS Revision, YARN Revision, the overview of Spark and how it is better than Hadoop, deploying Spark without Hadoop, Spark history server and Cloudera distribution

Spark Basics

Spark installation guide, Spark configuration, memory management, executor memory vs. driver memory, working with Spark Shell, the concept of resilient distributed datasets (RDD), learning to do functional programming in Spark and the architecture of Spark

Working with RDDs in Spark

Spark RDD, creating RDDs, RDD partitioning, operations and transformation in RDD, deep dive into Spark RDDs, the RDD general operations, a read-only partitioned collection of records, using the concept of RDD for faster and efficient data processing, RDD action for collect, count, collects map, save-as-text-files and pair RDD functions

Aggregating Data with Pair RDDs

Understanding the concept of Key–Value pair in RDDs, learning how Spark makes MapReduce operations faster, various operations of RDD, MapReduce interactive operations, fine and coarse-grained update and Spark stack

Writing and Deploying Spark Applications

Comparing the Spark applications with Spark Shell, creating a Spark application using Scala or Java, deploying a Spark application, Scala built application, creation of mutable list, set and set operations, list, tuple, concatenating list, creating application using SBT, deploying application using Maven, the web user interface of Spark application, a real-world example of Spark and configuring of Spark

Parallel Processing

Learning about Spark parallel processing, deploying on a cluster, introduction to Spark partitions, file-based partitioning of RDDs, understanding of HDFS and data locality, mastering the technique of parallel operations, comparing repartition and coalesce and RDD actions

Spark RDD Persistence

The execution flow in Spark, understanding the RDD persistence overview, Spark execution flow and Spark terminology, distribution shared memory vs. RDD, RDD limitations, Spark shell arguments, distributed persistence, RDD lineage, Key–Value pair for sorting implicit conversions like CountByKey, ReduceByKey, SortByKey and AggregateByKey

Spark MLlib

Introduction to Machine Learning, types of Machine Learning, introduction to MLlib, various ML algorithms supported by MLlib, Linear Regression, Logistic Regression, Decision Tree, Random Forest, K-means clustering techniques and building a Recommendation Engine

Hands-on Exercise:  Building a Recommendation Engine

Integrating Apache Flume and Apache Kafka

Why Kafka, what is Kafka, Kafka architecture, Kafka workflow, configuring Kafka cluster, basic operations, Kafka monitoring tools and integrating Apache Flume and Apache Kafka

Hands-on Exercise: Configuring Single Node Single Broker Cluster, Configuring Single Node Multi Broker Cluster, Producing and consuming messages and integrating Apache Flume and Apache Kafka

Spark Streaming

Introduction to Spark Streaming, features of Spark Streaming, Spark Streaming workflow, initializing StreamingContext, Discretized Streams (DStreams), Input DStreams and Receivers, transformations on DStreams, Output Operations on DStreams, Windowed Operators and why it is useful, important Windowed Operators and Stateful Operators

Hands-on Exercise:  Twitter Sentiment Analysis, streaming using netcat server, Kafka–Spark Streaming and Spark–Flume Streaming

Improving Spark Performance

Introduction to various variables in Spark like shared variables and broadcast variables, learning about accumulators, the common performance issues and troubleshooting the performance problems

Spark SQL and Data Frames

Learning about Spark SQL, the context of SQL in Spark for providing structured data processing, JSON support in Spark SQL, working with XML data, parquet files, creating Hive context, writing Data Frame to Hive, reading JDBC files, understanding the Data Frames in Spark, creating Data Frames, manual inferring of schema, working with CSV files, reading JDBC tables, Data Frame to JDBC, user-defined functions in Spark SQL, shared variables and accumulators, learning to query and transform data in Data Frames, how Data Frame provides the benefit of both Spark RDD and Spark SQL and deploying Hive on Spark as the execution engine

Scheduling/Partitioning

Learning about the scheduling and partitioning in Spark, hash partition, range partition, scheduling within and around applications, static partitioning, dynamic sharing, fair scheduling, Map partition with index, the Zip, GroupByKey, Spark master high availability, standby masters with ZooKeeper, Single-node Recovery with Local File System and High Order Functions

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Spark and Scala Projects

What projects I will be working on this Spark–Scala training?

Project 1: Movie Recommendation

Topics: This is a project wherein you will gain hands-on experience in deploying Apache Spark for the movie recommendation. You will be introduced to the Spark Machine Learning Library, a guide to MLlib algorithms and coding which is a Machine Learning library. You will understand how to deploy collaborative filtering, clustering, regression and dimensionality reduction in MLlib. Upon the completion of the project, you will gain experience in working with streaming data, sampling, testing and statistics.

Project 2: Twitter API Integration for Tweet Analysis

Topics: With this project, you will learn to integrate Twitter API for analyzing tweets. You will write codes on the server side using any of the scripting languages, like PHP, Ruby or Python, for requesting the Twitter API and get the results in JSON format. You will then read the results and perform various operations like aggregation, filtering and parsing as per the need to come up with tweet analysis.

Project 3: Data Exploration Using Spark SQL – Wikipedia Dataset

Topics: This project lets you work with Spark SQL. You will gain experience in working with Spark SQL for combining it with ETL applications, real-time analysis of data, performing batch analysis, deploying Machine Learning, creating visualizations and processing of graphs.

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Sample Spark and Scala Video Tutorials

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Apache Spark Certification

This course is designed for clearing the Apache Spark component of the Cloudera Spark and Hadoop Developer Certification (CCA175) exam. Check our Hadoop training course for gaining proficiency in the Hadoop component of the CCA175 exam. The complete course is created by industry experts for professionals to get top jobs in the best organizations. The entire training includes real-world projects and case studies that are highly valuable.

Upon the completion of the training, you will have quizzes that will help you prepare for the CCA175 certification exam and score top marks.

The Intellipaat certification is awarded upon successfully completing the project work and after its review by experts. The Intellipaat certification is recognized in some of the biggest companies like Cisco, Cognizant, Mu Sigma, TCS, Genpact, Hexaware, Sony and Ericsson, among others.

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Apache Spark and Scala Certification Training Reviews

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  1. Profile photo of Atyant Jain Atyant Jain 

    Real world projects

    Spark training at Intellipaat ticked all the right boxes. The best thing I liked about the Apache Spark certification training was the opportunity to work on real-world projects that helped me get hands-on experience in one of the fastest Big Data processing engines. Thank you Intellipaat.

  2. Profile photo of crenny288 Anthony Crenshaw 

    Extensive training

    I am glad that I took the Intellipaat Spark training. The trainers offered quality Spark training with real-world examples, and there was extensive interactivity throughout the training that made the Intellipaat training the best according to me.

  3. Profile photo of suman.g@saxonglobal.com Suman Gajavelly 

    Nice work

    I firmly believe that Intellipaat is the perfect place to embark on a great professional career in the technology space. Their Apache Spark and Scala training course was praiseworthy.

  4. Profile photo of Tareg Alnaeem Tareg Alnaeem 

    Great course

    I have had a great experience with Intellipaat learning about the newest technologies. The Apache Spark and Scala Certification Training has excellent course material, free tutorial content and videos for learners with detailed explanation and easy to understand language

  5. Profile photo of Abhimanyu Balgopal Abhimanyu Balgopal 

    A good online platform

    This course delivered everything. This online training course from Intellipaat is exactly what I wanted to understand Apache Spark and Scala in order to appear for the certification exam.

  6. Profile photo of Monika Kadel Monika Kadel 

    Good Stuff

    You have been extremely helpful for making me understand all demanding big data technologies at one place.

  7. Profile photo of Ashwin Singhania Ashwin Singhania 

    Wonderful Work

    All videos are in-depth yet concise. I had no problem understanding the tough concepts. Wonderful job Intellipaat!

  8. Profile photo of Debdut Bose Debdut Bose 

    Easy to Understand

    A properly structured training that is simple to learn. Quality content

  9. Profile photo of nidhiji033 Nidhi Gupta 

    Good training & Useful Material

    The quality of the course content is just awesome. Very happy to choose the right course for the career. Overall, a great set of tutorials.

Spark and Scala Training Course Advisor

Suresh Paritala

A Senior Software Architect at NextGen Healthcare who has previously worked with IBM Corporation, Suresh Paritala has worked on Big Data, Data Science, Advanced Analytics, Internet of Things and Azure, along with AI domains like Machine Learning and Deep Learning. He has successfully implemented high-impact projects in major corporations around the world.


David Callaghan

An experienced Blockchain Professional who has been bringing integrated Blockchain, particularly Hyperledger and Ethereum, and Big Data solutions to the cloud, David Callaghan has previously worked on Hadoop, AWS Cloud, Big Data and Pentaho projects that have had major impact on revenues of marquee brands around the world.


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Frequently Asked Questions on Spark and Scala

Why should I learn Spark and Scala from Intellipaat?

Intellipaat is the pioneer in Hadoop training in India. So, it pays to be with the market leader like Intellipaat to learn Spark and Scala and get the best jobs in top MNCs for top salaries. The Intellipaat training is the most comprehensive course that includes real-time projects and assignments which are designed by industry experts. The entire course content is fully aligned towards clearing the exam for the Apache Spark component of the Cloudera Spark and Hadoop Developer Certification (CCA175) exam.

Intellipaat offers lifetime access to videos, course materials, 24/7 support and course material upgrades to the latest version at no extra fee. For Hadoop and Spark training, you get the Intellipaat Proprietary Virtual Machine for lifetime and free cloud access for 6 months for performing training exercises. Hence, it is clearly a one-time investment.

What are the different modes of training that Intellipaat provides?
At Intellipaat you can enroll either for the instructor-led online training or self-paced training. Apart from this Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience and they have been actively working as consultants in the same domain making them subject matter experts. Go through the sample videos to check the quality of the trainers.
Can I request for a support session if I need to better understand the topics?
Intellipaat is offering the 24/7 query resolution and you can raise a ticket with the dedicated support team anytime. You can avail the email support for all your queries. In the event of your query not getting resolved through email we can also arrange one-to-one sessions with the trainers. You would be glad to know that you can contact Intellipaat support even after completion of the training. We also do not put a limit on the number of tickets you can raise when it comes to query resolution and doubt clearance.
Can you explain the benefits of the Intellipaat self-paced training?
Intellipaat offers the self-paced training to those who want to learn at their own pace. This training also affords you the benefit of query resolution through email, one-on-one sessions with trainers, round the clock support and access to the learning modules or LMS for lifetime. Also you get the latest version of the course material at no added cost. The Intellipaat self-paced training is 75% lesser priced compared to the online instructor-led training. If you face any problems while learning we can always arrange a virtual live class with the trainers as well.
What kind of projects are included as part of the training?
Intellipaat is offering you the most updated, relevant and high value real-world projects as part of the training program. This way you can implement the learning that you have acquired in a real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning and practical knowledge thus making you completely industry-ready. You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. Upon successful completion of the projects your skills will be considered equal to six months of rigorous industry experience.
Does Intellipaat offer job assistance?
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this we are exclusively tied-up with over 80 top MNCs from around the world. This way you can be placed in outstanding organizations like Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation part as well.
Is it possible to switch from self-paced training to instructor-led training?
You can definitely make the switch from self-paced to online instructor-led training by simply paying the extra amount and joining the next batch of the training which shall be notified to you specifically.
How are Intellipaat verified certificates awarded?
Once you complete the Intellipaat training program along with all the real-world projects, quizzes and assignments and upon scoring at least 60% marks in the qualifying exam; you will be awarded the Intellipaat verified certification. This certificate is very well recognized in Intellipaat affiliate organizations which include over 80 top MNCs from around the world which are also part of the Fortune 500 list of companies.
Will The Job Assistance Program Guarantee Me A Job?
In our Job Assistance program we will be helping you land in your dream job by sharing your resume to potential recruiters and assisting you with resume building, preparing you for interview questions. Intellipaat training should not be regarded either as a job placement service or as a guarantee for employment as the entire employment process will take part between the learner and the recruiter companies directly and the final selection is always dependent on the recruiter.
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