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Semester 5BCI532

Data Warehousing & Data Mining (BCI532) crash course, Online BCA, Semester 5:

This subject covers how data warehouses are designed, built and tuned for multidimensional analysis, and how data mining, data marts and OLAP turn large data…

  • 13 video lessons
  • 2h 6m
  • Study notes
  • 65 quiz questions
  • Assignment
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Data Warehousing & Data Mining crash course

13 lessons in Data Warehousing & Data Mining

Each lesson pairs one topic with a hand-picked video, trimmed to the part that teaches it.

About this subject

This subject covers how data warehouses are designed, built and tuned for multidimensional analysis, and how data mining, data marts and OLAP turn large data volumes into useful information. After it you will be able to plan a data warehousing project, apply performance techniques like bitmapped indexes and partitioning, and choose suitable mining and OLAP approaches for decision support.

  1. 1

    What Is a Data Warehouse and Why It Matters

    Module I, Data Warehousing: Introduction to Data Warehouse, its competitive advantage

    Lec - 2: Introduction to Data Warehouse🏺 with Examples· Gate Smashers· 6 min

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  2. 2

    Data Warehouse vs Operational Data

    Module I, Data Warehousing: Data warehouse Vs Operational Data

    Lec -8 : OLAP vs OLTP | Difference between OLAP vs OLTP with Real Life Examples· Gate Smashers· 8 min

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  3. 3

    Key Considerations for Building a Data Warehouse

    Module I, Data Warehousing: Things to consider while building Data Warehouse

    Design Considerations for Building Data Warehouse | Data Warehousing and Data Mining |· Professor Chandak· 11 min

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  4. 4

    Building a Data Warehousing Team

    Module II, Implementation: Building Data warehousing team

    DWDM Unit 2 One Shot | Data Warehouse Process & Technology | BCS-058 | AKTU B.Tech CSE· Bitwise Learning· 6 min

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  5. 5

    Defining and Managing a Data Warehouse Project

    Module II, Implementation: Defining data warehousing project, data warehousing project management

    Chapter 2 - Data Warehousing Planning and Project Management_PART1· skema lecturer· 13 min

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  6. 6

    Data Warehouse Project Estimation and Implementation

    Module II, Implementation: Project estimation for data warehousing, Data warehousing project implementation

    Data warehouse implementation and architectural options: part-2· Vidya-mitra· 26 min

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  7. 7

    Bitmapped Indexes and Star Queries

    Module III, Techniques: Bitmapped indexes, Star queries

    Indexing Techniques in Data Warehousing: B-Tree, Bitmap· COURSE PLEASE· 11 min

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  8. 8

    Read-Only Tablespaces and Parallel Processing

    Module III, Techniques: Read only table spaces, Parallel Processing

    DWDM Unit 2 One Shot | Data Warehouse Process & Technology | BCS-058 | AKTU B.Tech CSE· Bitwise Learning· 4 min

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  9. 9

    Partition Views and Optimizing ETL Extraction

    Module III, Techniques: Partition views, Optimizing extraction process

    Partitioning in Data Warehouse | Lecture #12 | Data Warehouse Tutorial· AmpCode· 9 min

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  10. 10

    Introduction to Data Mining and Its Benefits

    Module IV, Data Mining: Introduction to Data Mining, benefits of Data Mining, How it helps in decision making

    What is Data Mining?· IBM Technology· 6 min

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  11. 11

    Data Mining Techniques

    Module IV, Data Mining: Data mining techniques

    All Major Data Mining Techniques Explained With Examples· Learn with Whiteboard· 13 min

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  12. 12

    Data Marts, Tools and Data Warehouse vs Data Mart

    Module IV, Data Mining: Introduction to Data Mart, Data Mart Tools, Data warehouse vs Data Mart

    How Data Mart actually works? We are here to show you!· Jelvix | TECH IN 5 MINUTES· 4 min

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  13. 13

    OLAP Explained: MOLAP vs ROLAP

    Module IV, Data Mining: OLAP and its need, MOLAP and ROLAP

    OLAP Servers 🔥· Perfect Computer Engineer· 9 min

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Assignment

Design a Mini Data Warehouse and Mining Plan for a Retail Chain

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What you get

Less scrolling. More passing.

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    Hand-picked video lessons

    13 short lessons, each with the best YouTube explanation we could find, trimmed to the part that matters.

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    Study notes

    13 lessons come with a summary, key points, key terms and takeaways for quick revision.

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    Quizzes

    65 questions across the course, with the right answer and why, the moment you pick.

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    Assignments

    1 subject assignments with clear tasks, so you practise what each subject actually asks of you.

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    Notebook

    Write notes beside the video, stamped with the exact time, and jump back to that moment later.

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    Progress that follows you

    Completed lessons, quiz scores and where you stopped, saved to your account on every device.

  • Live chat pass

    Live chat

    A members-only live chat beside every lesson: doubts, tips, stickers and GIFs with your batch. One ₹19 pass opens every live chat.

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The Online BCA live chat. Study together, live.

A live chat right beside the video, shared by everyone studying Online BCA. Ask a Data Warehousing & Data Mining doubt mid-lesson, share a shortcut, celebrate a finished semester.

  • Live chat beside every lesson
  • One live chat for all of Online BCA
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More from Online BCA Semester 5

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Data Warehousing & Data Mining: common questions

This subject covers how data warehouses are designed, built and tuned for multidimensional analysis, and how data mining, data marts and OLAP turn large data volumes into useful information. After it you will be able to plan a data warehousing project, apply performance techniques like bitmapped indexes and partitioning, and choose suitable mining and OLAP approaches for decision support. It's the Data Warehousing & Data Mining subject of Online BCA, Semester 5, in 13 lessons: What Is a Data Warehouse and Why It Matters; Data Warehouse vs Operational Data; Key Considerations for Building a Data Warehouse; Building a Data Warehousing Team; Defining and Managing a Data Warehouse Project; Data Warehouse Project Estimation and Implementation; Bitmapped Indexes and Star Queries; Read-Only Tablespaces and Parallel Processing; Partition Views and Optimizing ETL Extraction; Introduction to Data Mining and Its Benefits; Data Mining Techniques; Data Marts, Tools and Data Warehouse vs Data Mart; OLAP Explained: MOLAP vs ROLAP.

Yes. Every video lesson is free to watch without an account. A free login unlocks study notes, quizzes, the assignment, a notebook and progress that syncs across devices.

About 2h 6m of video across 13 lessons, plus time for notes and quizzes. Go at your own pace; your place is saved.

Yes: “Design a Mini Data Warehouse and Mining Plan for a Retail Chain”. It comes after the last lesson, with a brief, clear tasks and how the work is judged.

A members-only live chat beside the video, shared by everyone studying Online BCA, where learners ask doubts, share tips and react with stickers and GIFs. One ₹19 pass, paid once from your InsideEdge wallet, opens the live chat for every degree.

No. It's a crash course to help you understand and revise the subject quickly. Use it alongside your official study material and assignments.

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