Fundamentals of Data Engineering and Big Data
The Fundamentals of Data Engineering and Big Data course by TimesPro is a comprehensive self-paced programme covering the essential concepts, tools, and frameworks required to build and manage large-scale data systems. The curriculum spans the full data engineering stack, from understanding the data lifecycle and the role of data engineers, to hands-on work with Hadoop storage and processing, Hive, Apache Spark, Spark SQL, Databricks, and cloud-based big data clusters. Learners also explore key data ingestion and messaging technologies including Sqoop, Flume, and Kafka, as well as NoSQL databases such as Cassandra, HBase, and MongoDB. The programme concludes with an introduction to Spark ML, data preparation for machine learning in Spark, and practical ML algorithm implementation, equipping learners with a strong foundation to pursue roles in data engineering and big data analytics.
Instructors:
TimesPro
English
Course Start Date:
Self-paced
Duration:
82 Hours
₹ 13,790
Overview
The Fundamentals of Data Engineering and Big Data course by TimesPro is a self-paced online programme designed to provide a thorough grounding in the tools, technologies, and concepts that power modern big data ecosystems. As organisations generate and process increasingly vast volumes of data, skilled data engineers are in high demand across industries. This programme addresses that need by walking learners through the complete data engineering landscape, starting with the story of data and the role of data engineers, through to advanced topics such as Spark-based machine learning and industry applications. The course is structured across 19 modules covering Hadoop storage and processing, Hive, Apache Spark and its ecosystem, cloud-based big data clusters, data ingestion tools, NoSQL databases, and ML workflows in Spark. It is suitable for learners at all levels who wish to build a strong, practical foundation in data engineering and big data analytics.
Why Technology & Analytics?
This course offers one of the most comprehensive big data curricula available at this price point, covering not just Hadoop and Spark but the full ecosystem of tools that data engineers use in production environments. With 19 structured modules, learners progress from foundational concepts to advanced topics including Kafka-based data streaming, NoSQL storage with Cassandra, HBase, and MongoDB, and machine learning with Spark ML. The course takes a practical, tool-first approach, ensuring that learners gain hands-on familiarity with the technologies most in demand in data engineering roles. TimesPro's platform provides a secure and flexible learning environment, enabling learners to progress at their own pace without fixed deadlines. At a one-time fee of Rs. 13,790, the programme delivers significant value for individuals looking to enter or advance in the data engineering and big data field.
What does this course have to offer?
Key Highlights
19 comprehensive modules covering the full big data stack Hands-on coverage of Apache Hadoop, Spark, and Databricks Data ingestion tools: Sqoop, Flume, and Kafka NoSQL databases: Cassandra, HBase, and MongoDB Introduction to Spark ML and real-world industry applications Cloud platform and big data cluster management Self-paced learning with flexible schedule Certification upon successful completion
Interested in career outcomes and specializations?
Who is this programme for?
Aspiring data engineers and big data professionals Software developers looking to transition into data engineering roles Students and graduates in computer science or related fields IT professionals upskilling in cloud and big data technologies Data analysts seeking to expand into engineering and pipeline development
Minimum Eligibility
Basic understanding of programming concepts Familiarity with any scripting or query language is helpful but not mandatory Interest in data engineering, big data, or cloud technologies No minimum work experience required Access to a computer with a stable internet connection
Not sure whether you qualify for this programme?
Who is the programme for?
Enrolment in the Fundamentals of Data Engineering and Big Data course is open to all learners with a basic interest in data and technology. There is no formal entrance test or interview. To enrol, learners visit the TimesPro platform, select the course, complete registration with personal details and OTP verification, and make the one-time payment of Rs. 13,790 through official TimesPro channels. Upon successful enrolment, learners receive immediate access to the full course on the TimesPro learning portal. The academic structure comprises 19 modules that progress from foundational data engineering concepts through Hadoop, Spark, NoSQL databases, cloud infrastructure, and Spark ML applications. Learners must complete all modules, quizzes, and assignments to earn their course certification.
Selection process
How to apply?
Curriculum
The curriculum is structured across 19 modules that take learners from the fundamentals of data engineering through to advanced big data processing and machine learning with Spark. The programme begins with the story of data, the role of data engineers, and the big data analytics lifecycle. It then covers Hadoop-based storage and processing, Hive and HiveQL queries, cloud platform integration, and big data cluster management. The Apache Spark section spans multiple modules covering Spark fundamentals, Spark SQL, Spark through Databricks, and a real-world Spark case study. Data ingestion tools including Sqoop, Flume, and Kafka are covered in dedicated modules. The NoSQL database section addresses Cassandra, HBase, and MongoDB. The programme concludes with three modules on Spark ML, covering introduction to machine learning in Spark, data preparation for ML, and implementation of ML algorithms through Spark.
There are 19 semesters in this course
Module 1 introduces data engineering through the story of data, the role and responsibilities of data engineers, and the big data analytics lifecycle. Module 2 covers data storage in Hadoop, exploring the HDFS architecture and distributed storage principles. Module 3 addresses data processing in Hadoop, including MapReduce and related processing frameworks. Module 4 teaches Hive and HiveQL, covering data warehousing on Hadoop and query optimisation. Module 5 focuses on working with cloud platforms for big data, covering cloud storage and compute services. Module 6 explores working with big data clusters, addressing cluster setup, management, and optimisation. Module 7 introduces Apache Spark, covering its architecture, components, and advantages over MapReduce. Module 8 covers Spark SQL, teaching structured data processing and query execution in Spark. Module 9 explores Spark through Databricks, the collaborative cloud-based Spark environment. Module 10 presents a Spark case study applying concepts to a real-world industry problem. Module 11 covers Sqoop for data ingestion between Hadoop and relational databases. Module 12 addresses Flume for collecting, aggregating, and moving large volumes of log data. Module 13 introduces Kafka as a distributed streaming platform for real-time data pipelines. Module 14 covers Cassandra, the highly scalable NoSQL distributed database. Module 15 explores HBase, the Hadoop-native column-family NoSQL database. Module 16 addresses MongoDB, the document-oriented NoSQL database widely used in big data applications. Module 17 provides an introduction to Spark ML and its industry applications. Module 18 covers data preparation for machine learning workflows in Spark. Module 19 completes the programme with implementation of ML algorithms through Spark.
Data Engineering
Data storage in hadoop
Data processing in hadoop
Learning hive and hive queries
Working with cloud
Working with cloud
Working with bigdata clusters
Intro to Apache Spark
Spark SQL
Spark through Databricks
Spark Case Study
Flume
Kafka
Cassandra
Hbase
MongoDB
Intro to spark ML and Industry applications
Data Prep for ML in spark
ML Algorithms through spark
Programme Length
Self-paced; learners can complete the 19-module programme at their own convenience with no fixed deadline
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructor
TimesPro
TimesPro - an award-winning EdTech initiative of the Times Group.
TimesPro - an award-winning EdTech initiative of the Times Group. We believe in empowering learners like you to pave their own path to success. No matter what stage of career you are at, you can choose from our wide range of learning and career development solutions. Our education, training, counselling, and progressive programmes enable you to constantly evolve. Our mission is to help India transform into a knowledge economy by helping YOU - the future of the nation - to upskill, grow, and accelerate your career with the art of learning; because we believe that only when one learns, can one fulfil all their aspirations, whether personal or professional.
Tuition Fee
The Fundamentals of Data Engineering and Big Data course is available at a one-time fee of Rs. 13,790. This payment provides full access to all 19 modules, quizzes, assignments, and the course certification. There are no additional or hidden charges. All payments must be made exclusively through TimesPro's official platform. For payment assistance, learners may contact TimesPro. TimesPro cautions all learners to be vigilant of fraudulent actors and to transact only via official channels.
Fee Structure
Payment options
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Learning Experience
The programme is delivered entirely online in a self-paced format, allowing learners to access all 19 modules immediately upon enrolment and progress at a speed that suits their schedule. The curriculum is structured progressively, beginning with foundational data engineering concepts and advancing through increasingly complex tools and frameworks. Learners engage with instructional content across each module, reinforcing their understanding through quizzes and assignments. Practical, tool-focused modules on Hadoop, Spark, Kafka, and NoSQL databases ensure that learners build hands-on familiarity with technologies used in real data engineering environments. The self-paced structure makes the programme well suited for students, working professionals, and career changers alike.
University Experience
TimesPro, a division of Bennett, Coleman and Co. Ltd. (The Times of India Group), is one of India's most trusted online learning platforms. With a broad network of academic partners spanning IIMs, IITs, XLRI, and international universities, TimesPro ensures that its programmes are credible, relevant, and professionally recognised. The TimesPro portal provides a seamless learning environment for accessing content, tracking module progress, attempting assessments, and downloading certifications. Learners also benefit from TimesPro's wider ecosystem of technology, management, and professional courses, enabling continuous upskilling across domains. TimesPro's commitment to secure transactions and responsive customer support ensures a trustworthy and reliable learning experience.
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About the University
TimesPro, established in 2013, is a Higher EdTech platform by The Times Group focused on professional education in India. The institution offers diverse learning programs across early career courses, executive education, and enterprise solutions. Their programs span banking, finance, technology, analytics, and marketing sectors through partnerships with premier institutions like IIMs, IITs, and global universities
100,000+
alumni community
@210
course offerings
10*
streams
Affiliation & Recognition
XLRI
NSDC
Fitch learning
lincoln university
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructor
TimesPro
TimesPro - an award-winning EdTech initiative of the Times Group.
TimesPro - an award-winning EdTech initiative of the Times Group. We believe in empowering learners like you to pave their own path to success. No matter what stage of career you are at, you can choose from our wide range of learning and career development solutions. Our education, training, counselling, and progressive programmes enable you to constantly evolve. Our mission is to help India transform into a knowledge economy by helping YOU - the future of the nation - to upskill, grow, and accelerate your career with the art of learning; because we believe that only when one learns, can one fulfil all their aspirations, whether personal or professional.
Career services
TimesPro provides extensive career support through dedicated placement assistance and industry connections. The institution focuses on developing industry-ready professionals through practical training, skill development, and career guidance. Their placement cell offers comprehensive support including interview preparation, profile enhancement, and direct connections with leading employers. The career services team works closely with over 3,500 corporate partners to ensure strong placement outcomes and career growth opportunities for students. Students receive personalized mentoring, soft skills training, and industry-specific preparation to enhance their employability.
10LPA
highest package
3500+
hiring partners
90%+
placement rate
Top Recruiters
Course Start Date:
Self-paced
Duration:
82 Hours
₹ 13,790
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.