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Intellipaat Apache Storm, Spark and Scala certification master's program lets you gain proficiency in real-time data analytics and high-speed processing. You will work on real-world projects in Spark RDD, Scala programming, Storm topology, logic dynamics, Trident filters and spouts.
Anybody can take up this training course regardless of their skills. A basic knowledge of Java can help, though.
The amount of Big Data that is processed today points to the fact that there is an urgent need for faster and more efficient way of processing data. Learning Spark and Storm puts you at an advantage, since there is a huge demand for professionals in this domain. Learning Scala which is the language of choice for writing Spark applications is also hugely beneficial. Above all, this combo course can help you grab some of the best jobs in the industry.
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Senior Software Engineer | Gurgaon
This course helped me gain the right skills to make a career switch from a consultant to a Senior Software Engineer. The knowledge of Hadoop and the right tools was the main reason for my transition.
Senior Software Engineer
Big Data Professional | India
Intellipaat has provided me with great content as per my requirement to shift from Software Engineering to Big Data. I recommend their courses to everyone who wishes to aim for a successful career transition.
Senior Software Engineer
Big Data Professional
Big Data Expert | India
This course has helped me make a smooth career transition from a non-tech background to a Big Data Expert. My objective of gaining skills in data driven decision making after my MBA was fulfilled.
Big Data Expert
Data Scientist | India
Becoming a Data Scientist from a Customer Service Agent was possible only due to expert guidance by Intellipaat trainers. Even after working for 10 years in customer care, I am a Data scientist today.
Customer Service Agent
Data Scientist | Delhi
Intellipaat has given me the confidence that anyone can become a Data Scientist with its rich training and expert guidance. With the help of Intellipaat, I switched from a non tech role to Data Scientist.
Research Analyst | India
Post the training, I was able to shift from a Data Analyst to a Research Analyst with a 35% salary hike. I gained a deep understanding of technical skills, especially in analytics. I can’t thank you enough, Intellipaat.
Big Data Developer | Dallas
The training helped me make a career transition from Computer Technical Specialist to Big Data developer with a 60% hike. The online interactive sessions by trainers are the best thing about Intellipaat.
Computer Technical Specialist
Big Data Developer
Data Engineer | Pune
Intellipaat’s knowledgeable instructors aided me in transitioning from a fresher to a Data Engineer. They helped me understand topics and resolve doubts, allowing me to make a smooth transition.
Program Manager | Pune
Thanks to Intellipaat, I was able to switch to the role of a Program Manager from a Microsoft Dynamics Consultant. Gaining knowledge in the latest technologies as per industry standards helped me the most.
Microsoft Dynamics Consultant
ETL Developer | Maharashtra
Thanks to Intellipaat I was able to make a transition from Consultant to ETL Developer. The rich content has helped me get this role. I am extremely satisfied with my career today.
Splunk Administrator | Bangalore
I was a non-IT person before enrolling in the course. But I could make a transition to a Support Executive at IBM, all because of Intellipaat’s comprehensive content, expert trainers, and a great job assistance team.
57% Average Salary Hike
$1,28,000 Highest Salary
12000+ Career Transitions
300+ Hiring Partners
Self Paced Training
Online Classroom Preferred
Introduction to ScalaPreview
Introduction and 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 analytics
Executing the Scala CodePreview
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 ScalaPreview
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 MatchingPreview
Understanding sealed traits, wild, constructor, tuple, variable pattern and constant pattern
Concepts of Traits with ExamplePreview
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 an example of list sequence in Scala
Mutable Collections Vs. Immutable CollectionsPreview
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 PackagePreview
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
Introduction to SparkPreview
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
Working with RDDs in SparkPreview
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 RDDsPreview
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 ApplicationsPreview
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
Spark RDD PersistencePreview
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
Integrating Apache Flume and Apache KafkaPreview
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
Improving Spark PerformancePreview
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 FramesPreview
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
Understanding the Architecture of StormPreview
Big Data characteristics, understanding Hadoop distributed computing, the Bayesian Law, deploying Storm for real-time analytics, Apache Storm features, comparing Storm with Hadoop, Storm execution and learning about Tuple, Spout and Bolt
Installation of Apache StormPreview
Installing Apache Storm and various types of run modes of Storm
Introduction to Apache StormPreview
Understanding Apache Storm and the data model
Apache Kafka InstallationPreview
Installation of Apache Kafka and its configuration
Apache Storm AdvancedPreview
Understanding advanced Storm topics like Spouts, Bolts, Stream Groupings and Topology and its life cycle and learning about guaranteed message processing
Various grouping types in Storm, reliable and unreliable messages, Bolt structure and life cycle, understanding Trident topology for failure handling, process and call log analysis topology for analyzing call logs for calls made from one number to another
Overview of TridentPreview
Understanding of Trident spouts and its different types, various Trident spout interface and components, familiarizing with Trident filter, aggregator and functions and a practical and hands-on use case on solving call log problem using Storm Trident
Storm Components and ClassesPreview
Various components, classes and interfaces in Storm like, Base Rich Bolt Class, i RichBolt Interface, i RichSpout Interface and Base Rich Spout class and the various methodologies of working with them
Understanding Cassandra, its core concepts and its strengths and deployment
Twitter Boot Stripping, detailed understanding of Boot Stripping, concepts of Storm and Storm development environment
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Practice Essential Tools
Designed By Industry Experts
Get Real-world Experience
The project is designed to let the learners deploy Apache Spark and work with Spark MLlib. Perform regression, clustering, dimensionality reduction, and collaborative filtering to build a movie recommendation system.
Twitter API Integration for Tweet Analysis
Learn to analyze tweets by integrating Twitter API. The project also lets the learners to use any one of the scripting languages, including Python, PHP, or Ruby, to request the API and receive the output in JSON format.
Data Exploration Using Spark SQL – Wikipedia Dataset
This project has been included to help the learners to combine Spark SQL with ETL applications, perform real-time data analysis, deploy machine learning algorithms, perform batch analysis, build visualizations, and process graphs.
Call Log Analysis Using Trident
Work on call logs to decipher data and gather valuable insights using Apache Storm Trident. Work with data on calls from one number to another. Learn to work with spouts and bolts along with various Trident functions, filters, etc.
Twitter Data Analysis Using Trident
Work with Twitter data and process it to extract patterns. Apache Storm Trident is the perfect framework for real-time tweet analysis. Work with spouts and bolts along with various Trident functions, filters, etc., as well.
The US Presidential Election Results Analysis Using Trident DRPC Query
Work on presidential election results data and predict who is leading in real time through Trident distributed remote procedure call server. Learn how to access data residing in a remote system and deploy it for analysis, etc.
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!
This training course is designed to help you clear 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 entire training course content is in line with the certification program and helps you clear the certification exam with ease and get best jobs in the top MNCs.
As part of this training, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast-track your career effortlessly.
At the end of this training program, there will be a quiz that perfectly reflects the type of questions asked in the certification exam and helps you score better marks.
Intellipaat Storm Certification and Intellipaat Course Completion Certificate will be awarded upon the completion of the project work (after expert review) and upon scoring at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
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 course was praiseworthy. Amazing experience.
I have hugely benefited from this online Big Data Hadoop and training course. Well-structured syllabus and excellent course material by Intellipaat. The trainers are great and I highly recommend it.
This course delivered everything as per my expectations. It offered exactly what I wanted to learn and get hands-on experience in. Great trainers and amazing learning content by Intellipaat.
The course is nicely split in small parts, which is well suitable for learning, even with a short time slot available. Also, there is a video and transcript available for each training session.
This Intellipaat all-in-one training course lets you master various computational tools to work on Big Data like Apache Spark and Storm, along with Scala programming. You will gain full proficiency in processing Big Data, work on real-time analytics, perform batch processing and increase the performance of the Hadoop framework.
The course content is fully in line with clearing the Spark component of the Cloudera Spark and Hadoop Developer Certification (CCA175).
This is a completely career-oriented course designed by industry experts. Your training program includes real-time projects and step-by-step assignments to evaluate your progress and specially designed quizzes for clearing the requisite certification exams.
Intellipaat also 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. All-in-one, it is a one-time investment to become a successful Data Scientist and grab the best jobs at the best salaries in top MNCs around the world.
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 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of 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 support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.
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.