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The Spark training in Delhi at Intellipaat is an instructor-led program curated by industry professionals from top organizations to make you a certified professional. They will help you learn Spark RDDs, Scala–Java, Flume, and other significant modules of Spark and Scala. Our 24-hour online support will clear all your queries and assist you in building a successful career. Get the best Spark and Scala course in Delhi by the top Apache Spark Experts.
Once you complete this comprehensive Apache Spark training in Delhi, you will acquire all the skills and knowledge in Spark and Scala, including an understanding of Scala collections, Spark Shell, Hive, and more.
In Intellipaat’s Apache Spark course, you will learn about:
Mentioned below are a few reasons why you must enroll in our Apache Spark training in Delhi:
The cost of the Apache Spark certification exam in Delhi is ₹20,650, while the duration of the CCA Spark and Hadoop Developer Exam (CCA175) is about 120 minutes.
The professionals listed below can enroll in this Apache Spark Training:
You do not need to have any particular skills to register for Intellipaat’s Spark and Scala certification course in Delhi. Although, it won’t hurt to have some basic knowledge of SQL or any other database query language.
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Big Data Developer | Dallas
This is a great training program. The mentors and course instructors were interactive throughout the program. This course has helped me upskill myself in the numerous tools and technologies that work with Big Data. The experts hel...Read More
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Big Data Developer
Data Engineer | Pune
This e-learning institute has been extremely helpful for my career. The training program and interactive live lectures made it easy to master the concepts as per the industry demands. The curriculum was comprehensive and the train...Read More
Senior Software Engineer | Gurgaon
I had a great experience in learning from Intellipaat and it allowed me to gain the skills to be a Software Engineer from an Associate Consultant. The course instructors here helped me master the tools and techniques in the field....Read More
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Program Manager | Pune
Intellipaat served as a great platform for me to learn the latest upgrades and skills in the technology as per industry requirements. I was working as a Microsoft Dynamics Consultant but after taking the training from Intellipaat,...Read More
Microsoft Dynamics Consultant
ETL Developer | Maharashtra
It is the best online course I have ever taken. The course instructors here helped me gain in-depth knowledge of all the topics that could help me shift my career from a Consultant to an ETL Developer. To get into this domain, I r...Read More
Splunk Administrator | Bangalore
I had a little knowledge in the field of IT and was working as a Support Executive in IBM. I learned the various concepts and techniques involved in Splunk through Intellipaat’s training which helped me move on to a career in this field and land a lucrative job.
57% Average Salary Hike
$1,28,000 Highest Salary
12000+ Career Transitions
300+ Hiring Partners
Self Paced Training
Online Classroom Preferred
Module 01 - Introduction to ScalaPreview
1.1 Introducing Scala
1.2 Deployment of Scala for Big Data applications and Apache Spark analytics
1.3 Scala REPL, lazy values, and control structures in Scala
1.4 Directed Acyclic Graph (DAG)
1.5 First Spark application using SBT/Eclipse
1.6 Spark Web UI
1.7 Spark in the Hadoop ecosystem.
Module 02 - Pattern MatchingPreview
Module 03 - Executing the Scala CodePreview
Module 04 - Classes Concept in ScalaPreview
Module 05 - Case Classes and Pattern MatchingPreview
Module 06 - Concepts of Traits with ExamplePreview
Module 07 - Scala–Java InteroperabilityPreview
Module 08 - Scala CollectionsPreview
Module 09 - Mutable Collections Vs. Immutable CollectionsPreview
Module 10 - Use Case Bobsrockets PackagePreview
10.1 Introduction to Scala packages and imports
10.2 The selective imports
10.3 The Scala test classes
10.4 Introduction to JUnit test class
10.5 JUnit interface via JUnit 3 suite for Scala test
10.6 Packaging of Scala applications in the directory structure
10.7 Examples of Spark Split and Spark Scala
Module 11 - Introduction to SparkPreview
11.1 Introduction to Spark
11.2 Spark overcomes the drawbacks of working on MapReduce
11.3 Understanding in-memory MapReduce
11.4 Interactive operations on MapReduce
11.5 Spark stack, fine vs. coarse-grained update, Spark stack, Spark Hadoop YARN, HDFS Revision, and YARN Revision
11.6 The overview of Spark and how it is better than Hadoop
11.7 Deploying Spark without Hadoop
11.8 Spark history server and Cloudera distribution
Module 12 - Spark BasicsPreview
12.1 Spark installation guide
12.2 Spark configuration
12.3 Memory management
12.4 Executor memory vs. driver memory
12.5 Working with Spark Shell
12.6 The concept of resilient distributed datasets (RDD)
12.7 Learning to do functional programming in Spark
12.8 The architecture of Spark
Module 13 - Working with RDDs in SparkPreview
13.1 Spark RDD
13.2 Creating RDDs
13.3 RDD partitioning
13.4 Operations and transformation in RDD
13.5 Deep dive into Spark RDDs
13.6 The RDD general operations
13.7 Read-only partitioned collection of records
13.8 Using the concept of RDD for faster and efficient data processing
13.9 RDD action for the collect, count, collects map, save-as-text-files, and pair RDD functions
Module 14 - Aggregating Data with Pair RDDsPreview
Module 15 - Writing and Deploying Spark ApplicationsPreview
15.1 Comparing the Spark applications with Spark Shell
15.2 Creating a Spark application using Scala or Java
15.3 Deploying a Spark application
15.4 Scala built application
15.5 Creation of the mutable list, set and set operations, list, tuple, and concatenating list
15.6 Creating an application using SBT
15.7 Deploying an application using Maven
15.8 The web user interface of Spark application
15.9 A real-world example of Spark
15.10 Configuring of Spark
Module 16 - Parallel ProcessingPreview
16.1 Learning about Spark parallel processing
16.2 Deploying on a cluster
16.3 Introduction to Spark partitions
16.4 File-based partitioning of RDDs
16.5 Understanding of HDFS and data locality
16.6 Mastering the technique of parallel operations
16.7 Comparing repartition and coalesce
16.8 RDD actions
Module 17 - Spark RDD PersistencePreview
17.1 The execution flow in Spark
17.2 Understanding the RDD persistence overview
17.3 Spark execution flow, and Spark terminology
17.4 Distribution shared memory vs. RDD
17.5 RDD limitations
17.6 Spark shell arguments
17.7 Distributed persistence
17.8 RDD lineage
17.9 Key-value pair for sorting implicit conversions like CountByKey, ReduceByKey, SortByKey, and AggregateByKey
Module 18 - Spark MLlibPreview
18.1 Introduction to Machine Learning
18.2 Types of Machine Learning
18.3 Introduction to MLlib
18.4 Various ML algorithms supported by MLlib
18.5 Linear regression, logistic regression, decision tree, random forest, and K-means clustering techniques
1. Building a Recommendation Engine
Module 19 - Integrating Apache Flume and Apache KafkaPreview
19.1 Why Kafka and what is Kafka?
19.2 Kafka architecture
19.3 Kafka workflow
19.4 Configuring Kafka cluster
19.6 Kafka monitoring tools
19.7 Integrating Apache Flume and Apache Kafka
1. Configuring Single Node Single Broker Cluster
2. Configuring Single Node Multi Broker Cluster
3. Producing and consuming messages
4. Integrating Apache Flume and Apache Kafka
Module 20 - Spark StreamingPreview
20.1 Introduction to Spark Streaming
20.2 Features of Spark Streaming
20.3 Spark Streaming workflow
20.4 Initializing StreamingContext, discretized Streams (DStreams), input DStreams and Receivers
20.5 Transformations on DStreams, output operations on DStreams, windowed operators and why it is useful
20.6 Important windowed operators and stateful operators
1. Twitter Sentiment analysis
2. Streaming using Netcat server
3. Kafka–Spark streaming
4. Spark–Flume streaming
Module 21 - Improving Spark PerformancePreview
Module 22 - Spark SQL and Data FramesPreview
22.1 Learning about Spark SQL
22.2 The context of SQL in Spark for providing structured data processing
22.3 JSON support in Spark SQL
22.4 Working with XML data
22.5 Parquet files
22.6 Creating Hive context
22.7 Writing data frame to Hive
22.8 Reading JDBC files
22.9 Understanding the data frames in Spark
22.10 Creating Data Frames
22.11 Manual inferring of schema
22.12 Working with CSV files
22.13 Reading JDBC tables
22.14 Data frame to JDBC
22.15 User-defined functions in Spark SQL
22.16 Shared variables and accumulators
22.17 Learning to query and transform data in data frames
22.18 Data frame provides the benefit of both Spark RDD and Spark SQL
22.19 Deploying Hive on Spark as the execution engine
Module 23 - Scheduling/PartitioningPreview
23.1 Learning about the scheduling and partitioning in Spark
23.2 Hash partition
23.3 Range partition
23.4 Scheduling within and around applications
23.5 Static partitioning, dynamic sharing, and fair scheduling
23.6 Map partition with index, the Zip, and GroupByKey
23.7 Spark master high availability, standby masters with ZooKeeper, single-node recovery with the local file system and high order functions
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Deploy Apache Spark for a movie recommendation system. Through this project, you will be working with Spark MLlib, collaborative filtering, clustering, regression, and dimensionality reduction. By the completion of this project, you w...Read More
Twitter API Integration for Tweet Analysis
integrate Twitter API for analyzing tweets. You can use any of the scripting languages, like PHP, Ruby, or Python, for requesting the Twitter API and get the results in JSON format. You will have to perform aggregation, filtering, and...Read More
Data Exploration Using Spark SQL – Wikipedia Data
This project will allow you to work with Spark SQL and combine it with ETL applications, real-time analysis of data, performing batch analysis, deploying Machine Learning, creating visualizations, and processing of graphs.
Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!
Intellipaat’s Apache Spark and Scala course in Delhi is designed for clearing the Apache Spark component of the Cloudera Spark and Hadoop Developer Certification (CCA175) exam. Join our Hadoop training course for gaining proficiency in the Hadoop component of the CCA175 exam. The entire course is created by industry experts so that the learners can get top jobs in the world’s best organizations. This training comprises several real-world projects and case studies that are highly valued in the industry.
When you complete the Apache Spark and Scala training in Delhi, you will have to attempt the quizzes that will help you prepare for the CCA175 certification exam and will aid you to score top marks.
Intellipaat’s course completion certificate will be awarded once you successfully complete the project work, after it is reviewed by our experts. This certification is recognized by top companies such as TCS, Cisco, Hexaware, Mu Sigma, Cognizant, Sony, Genpact, Ericsson, and many others.
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 han...Read More
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 ...Read More
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.
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...Read More
This Spark training in Delhi delivered everything. This online training course from Intellipaat was exactly what I wanted to understand about Apache Spark and Scala so that I could appear for the Spar...Read More
You have been extremely helpful for making me understand all demanding big data technologies at one place.
All videos are in-depth yet concise. I had no problem understanding the tough concepts. Wonderful job Intellipaat!
A properly structured training that is simple to learn. Quality content
Intellipaat tops the list of institutes when it comes to delivering quality Hadoop training in Delhi. Enrolling at Intellipaat is the best choice you can make if you wish to learn Spark and Scala and apply for the best jobs with high salaries. This online course includes real-time exercises, assignments, and case studies compiled together by industry experts. Besides, the course is aligned with the syllabus of the Cloudera Spark and Hadoop Developer Certification (CCA175) exam.
Also, Intellipaat provides lifelong access to courseware, lectures, online support, and more for free. In this Spark and Scala training in Delhi, you will have access to Intellipaat’s Proprietary Virtual Machine throughout your lifetime and will get free access to the cloud for 6 months.
Intellipaat has been serving Spark enthusiasts from every corner of the city. You can be living in any locality in Delhi, be it Delhi NCR, New Delhi, Saket, or other South Delhi localities, Karol bagh, Janakpuri, Vasant Kunj, Uttam Nagar, Dwarka, Laxmi Nagar, Preet Vihar, Mahipalpur, Pitampura, Shastri Nagar, Paschim Vihar, or anywhere. You can have full access to our Apache Spark online training sitting at home or office 24/7.
At Intellipaat, you can enroll in either 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, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.
Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.
You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.
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 real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, 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. After completing the projects successfully, your skills will be equal to 6 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 such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.
You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.
Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.
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 find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.