Big Data Architect Master's Course




Skill Level

Up to 200 Hrs




Course Details

Suresh Paritala
Solutions Architect at Microsoft, Texas

David Callaghan
Big Data Strategist and Solutions Architect, Perficient, USA

Samanth Reddy
Data Scientist at ASCAP


Please contact us for current promotional rates.

Please contact us for details.

  • Instructor-led
  • Self-paced
course features
Career Support:

    Attend sessions from top industry experts and get guidance on how to boost your career growth


    Mock interviews to make you prepare for cracking interviews by top employers


    Get interviewed by our 400+ hiring partners


    Get assistance in creating a world-class resume from our career services team

Certificate of Completion

After the completion of the course, you will get certificates from IBM and Intellipaat.

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About the Big Data Course

Our Big Data Architect master’s course lets you gain proficiency in Big Data. You will work on real-world projects in Hadoop Development, Hadoop Administration, Hadoop Analysis, Hadoop Testing, Spark, Python, Splunk Developer and Admin, Apache Storm, NoSQL databases and more. In this program, you will cover 13 courses and 33 industry-based projects. As a part of this online classroom training, you will receive four additional self-paced courses co-created with IBM, namely, Spark Fundamentals I and II courses, Spark MLlib course, and Python for Data Science course.

Collaborating with IBM

IBM is one of the leading innovators and the biggest player in creating innovative tools. Top subject matter experts from IBM will share their knowledge in the domains of Cloud and DevOps through this training program, which will help you gain the breadth of knowledge and industry experience.
Benefits for students from IBM
  • Industry-recognized IBM certificate
  • Access to IBM Watson for hands-on training and practice
  • Industry in-line case studies and project work

Why take this course?

  • Global Hadoop market to reach US$84.6 billion in 2 years – Allied Market Research
  • The number of jobs for all US-based data professionals will increase by 2.7 million
    per year – IBM
  • A Hadoop Administrator in the United States can get a salary of US$123,000 –

Big Data is the fastest growing and the most promising technology that aids profiles, such as Big Data Engineer and Big Data Solutions Architect, that are in huge demand. This Big Data Architect master’s course will help you grab the best jobs in this domain

Who should take this training?

  • Data Science and Big Data Professionals and Software Developers
  • Business Intelligence Professionals, Information Architects, and Project Managers
  • Those who aspire to be a Big Data Architect

COURSE offered



Learning Objective

Intellipaat Big Data Hadoop training program helps you master Big Data Hadoop and Spark to get ready for the Cloudera CCA Spark and Hadoop Developer Certification (CCA175) exam as well as master Hadoop Administration with 14 real-time industry-oriented case-study projects. In this Big Data course, you will master MapReduce, Hive, Pig, Sqoop, Oozie and Flume and work with Amazon EC2 for cluster setup, Spark framework and RDD, Scala and Spark SQL, Machine Learning using Spark,
Spark Streaming, etc.


  • Hadoop Installation and Setup
  • Introduction to Big Data Hadoop and Understanding HDFS and MapReduce
  • Deep Dive into MapReduce
  • Introduction to Hive
  • Advanced Hive and Impala
  • Introduction to Pig
  • Flume, Sqoop, and HBase
  • Writing Spark Applications Using Scala
  • Introduction to Spark
  • Spark Basics
  • Working with RDDs in Spark
  • Aggregating Data with Pair RDDs
  • Writing and Deploying Spark Applications
  • Project Solution Discussion and Cloudera Certification Tips and Tricks
  • Parallel Processing
  • Spark RDD Persistence
  • Spark MLlib
  • Integrating Apache Flume and Apache Kafka
  • Spark Streaming
  • Improving Spark Performance
  • Spark SQL and Data Frames
  • Scheduling/Partitioning

Self-Spaced Course Content:

  • Hadoop Administration – Multi-node Cluster Setup Using Amazon EC2 
  • Hadoop Administration – Cluster Configuration
  • Hadoop Administration – Maintenance, Monitoring and Troubleshooting
  • ETL Connectivity with Hadoop Ecosystem (Self-Paced)
  • Hadoop Application Testing
  • Roles and Responsibilities of Hadoop Testing Professional
  • Framework Called MRUnit for Testing of MapReduce Programs
  • Unit Testing
  • Test Execution
  • Test Plan Strategy and Writing Test Cases for Testing Hadoop Application

Learning Objective

Intellipaat Spark training lets you master real-time data processing using Spark streaming, Spark SQL, Spark RDD and Spark Machine Learning libraries (Spark MLlib). You will learn Spark and Scala programming, as well as work on three real-life use cases in this Spark and Scala course.


  • Introduction to Scala
  • Pattern Matching
  • Executing the Scala Code
  • Classes Concept in Scala
  • Case Classes and Pattern Matching
  • Concept of Traits with Example
  • Scala–Java Interoperability
  • Scala Collections
  • Mutable Collections vs Immutable Collections
  • Use Case: Bobsrockets Package
  • Introduction to Spark
  • Spark Basics
  • Working with RDDs in Spark
  • Aggregating Data with Paired RDDs
  • Writing and Deploying Spark Applications
  • Spark RDD Persistence
  • Spark MLlib
  • Integrating Apache Flume and Apache Kafka
  • Spark Streaming
  • Improving Spark Performance
  • Spark SQL and DataFrames
  • Scheduling/Partitioning

Learning Objective

The Intellipaat Splunk certification training includes the complete aspects of Splunk developer and Splunk administration. This Splunk course also includes various aspects of Splunk installation, configuration, Splunk Syslog, Syslog Server, log analysis, Splunk dashboard, installation, configuration of Splunk, deploying Splunk search, monitor, index, report and analysis.


  • Splunk Development Concept
  • Basic Searching
  • Using Fields in Searches
  • Saving and Scheduling Searches
  • Creating Alerts
  • Scheduled Reports
  • Tags and Event Types
  • Creating and Using Macros
  • Workflow
  • Splunk Search Commands
  • Transforming Commands
  • Reporting Commands
  • Mapping and Single-value Commands
  • Splunk Reports and Visualizations
  • Analyzing, Calculating, and Formatting Results
  • Correlating Events
  • Enriching Data with Lookups

Learning Objective

The Data Science with Python course enables you to master Data Science Analytics using Python. You will work on various Python libraries such as SciPy, NumPy, Matplotlib, Lambda function, etc. You will master Data Science Analytics skills through real-world projects covering multiple domains such as retail, e-commerce, finance, etc.


  • Introduction to Data Science Using Python
  • Python Basic Constructs
  • Maths for DS: Statistics and Probability
  • OOPs in Python
  • NumPy for Mathematical Computing
  • SciPy for Scientific Computing
  • Data Manipulation
  • Data Visualization with Matplotlib
  • Machine Learning Using Python
  • Supervised Learning
  • Unsupervised Learning
  • Python Integration with Spark (Self-paced)
  • Dimensionality Reduction
  • Time Series Forecasting

Learning Objective

Intellipaat’s PySpark course is designed to help you understand the PySpark concept and develop custom, feature-rich applications using Python and Spark. Our PySpark training Big Data Architect Master’s Course 16 | P a g e courses are conducted online by leading PySpark experts working in top MNCs. During this PySpark course, you will gain in-depth knowledge of Apache Spark and related ecosystems, including Spark Framework, PySpark SQL, PySpark Streaming, and more. In addition, you can work in a virtual lab and run real-time projects to get hands-on experience with PySpark.


  • Introduction to the Basics of Python
  • Sequence and File Operations
  • Functions, Sorting, Errors and Exception, Regular Expressions, and Packages
  • Python: An OOP Implementation
  • Debugging and Databases
  • Introduction to Big Data and Apache Spark
  • Python for Spark
  • Python for Spark: The Functional and Object-oriented Model
  • Apache Spark Framework and RDDs
  • PySpark SQL and DataFrames
  • Apache Kafka and Flume
  • PySpark Streaming
  • Introduction to PySpark Machine Learning

Learning Objective

Our MongoDB certification training course will help you master the NoSQL database. We provide the best online classes to help you learn MongoDB installation, data modeling, schema design, data indexing, monitoring, and aggregation. The course also offers opportunities to work on real-world projects.


  • Introduction to NoSQL and MongoDB
  • MongoDB Installation
  • Importance of NoSQL
  • CRUD Operations
  • Data Modeling and Schema Design
  • Data Management and Administration
  • Data Indexing and Aggregation
  • MongoDB Security
  • Working with Unstructured Data

Learning Objective

This AWS Big Data certification course will help you gain in-depth knowledge of AWS Big Data concepts, such as AWS IoT (Internet of Things), Kinesis, Amazon DynamoDB, Amazon Machine Learning (AML), data analysis, data processing technologies, data visualization, and more. Through this AWS Big Data training, you will be able to clear the AWS Certified Data Analytics – Specialty exam, DAS-C01.


  • Introduction to Big Data and Data Collection
  • Introduction to Cloud Computing and AWS
  • Elastic Compute and Storage Volumes
  • Virtual Private Cloud
  • Storage – Simple Storage Service (S3)
  • Databases and In-memory Data Stores
  • Data Storage
  • Data ProcessingBig Data Architect Master’s
  • Data Analysis
  • Data Visualization and Data Security

Self-paced Courses

As part of this online classroom training, you will receive six additional self-paced courses co-created with IBM, namely, Hadoop Testing, Apache Storm, Apache Kafka, Apache Cassandra, Java, and Linux. Moreover, you will also get exclusive access to IBM Watson Cloud Lab for the Chatbots course.

Project work

  • Working with MapReduce, Hive, and Sqoop
  • Working on MovieLens Data for Finding the Top Movies
  • Hadoop YARN Project: End-to-End PoC
  • Table Partitioning in Hive
  • Connecting Pentaho with the Hadoop Ecosystem
  • Multi-node Cluster Setup
  • Hadoop Testing Using MRUnit
  • Hadoop Web Log Analytics
  • Hadoop Maintenance
  • Twitter Sentiment Analysis
  • Analyzing IPL T20 Cricket
  • Movie Recommendation
  • Twitter API Integration for Tweet Analysis
  • D Data Exploration Using Spark SQL – Wikipedia Dataset
  • Movie Recommendation
  • Twitter API Integration for Tweet Analysis
  • Data Exploration Using Spark SQL – Wikipedia Dataset
  • Creating an Employee Database of a Company
  • Building an Organizational Dashboard with Splunk
  • Field Extraction in Splunk
  • Analyzing the Trends of COVID-19 with Python
  • Analyzing the Naming Trends Using Python
  • Performing Analysis on Customer Churn Dataset
  • Netflix Recommendation System
  • Python Web Scraping for Data Science
  • OOPS in Python
  • Working With NumPy
  • Visualizing and Analyzing the Customer Churn Dataset Using Python
  • Building Models with the Help of Machine Learning Algorithms
  • Working with the MongoDB Java Driver
  • Integration of Big Data with AWS
  • Big Data Analysis

What our students are saying

The Big Data Architect Master's Course is an online course with industry recognized certification.

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