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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.

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Key Features

24 Hrs Instructor Led Training
22 Hrs Self-paced Videos
60 Hrs Project work & Exercises
Certification and Job Assistance
Flexible Schedule
Lifetime Free Upgrade
24 x 7 Lifetime Support & 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
  • 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

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

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.

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.

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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Course Fees

Self Paced Training

  • 22 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access
$165

Online Classroom preferred

  • Everything in self-paced, plus
  • 24 Hrs of instructor-led training
  • 1:1 doubt resolution sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 07 Jun
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 13 Jun
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 23 Jun
  • TUE - FRI
  • 07:00 AM TO 09:00 AM IST (GMT +5:30)
$264 10% OFF Expires in
$0

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 support
  • Strong Reporting

Spark and Scala Course Content

Scala Course Content

Introduction to Scala preview videos

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.

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

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

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

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

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

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

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

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

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, 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 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

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

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

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

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

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

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

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

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

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

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

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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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.

Our Alumni works at top 3000+ companies

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Apache Spark and Scala Certification Training Reviews

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Ritesh

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Dileep & Ajay

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Sagar

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Ashok

Atyant Jain

Senior Solutions Architect at Adidas

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.

Anthony Crenshaw

Master Radio Electronic Communication Officer

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.

Suman Gajavelly

CTO | bitsIO - Splunk Experts

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.

Tareg Alnaeem

Database Administrator at University of Bergen

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

Abhimanyu Balgopal

Product Engineer (BigData)

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.

Monika Kadel

Big data Developer at Amdocs

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

Ashwin Singhania

Hadoop Architect at Infosys

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

Debdut Bose

Big Data Expert

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

Nidhi Gupta

Java Developer at Acer

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.

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.

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.
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.
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.
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.
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.
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.
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.
Apparently, No. Our Job Assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and assists you in finding a well-paid job, matching your profile. The final decision on your hiring will always be based on your performance in the interview and the requirements of the recruiter.
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