Data Warehouse & Data Mining - Lec - 8: Normalization in Data Transformation | Min-Max & Z-score Techniques with example

In this video, discussing about the concept of normalization in data transform. Normalization in data transformation is a process used to organize data in a database efficiently. It involves structuring a database in a way that reduces data redundancy and improves data integrity. The main goal is to ensure that the database is efficient and accurate by eliminating redundant data and ensuring data dependencies make sense. #datatransformation -------------------------------------------------------------------------------------------------------------------------------------- Timestamps: 00:00 – Normalization & their technique 01:35 – min max technique 05:55 – z-score technique -------------------------------------------------------------------------------------------------------------------------------------- 🔹 Gate Smashers Shorts: Watch quick concepts & short videos here: https://www.youtube.com/@GateSmashersShorts 🔹 Subscribe for more shorts and motivational content: https://www.youtube.com/@varunainashots ► Data Warehouse (Complete Playlist): https://www.youtube.com/playlist?list=PLxCzCOWd7aiHexyDzYgry0YZN29e7HdNB Other Subject-wise Playlist Links: -------------------------------------------------------------------------------------------------------------------------------------- ►Computer Networks : https://www.youtube.com/playlist?list=PLxCzCOWd7aiGFBD2-2joCpWOLUrDLvVV_ ►Design and Analysis of algorithms (DAA): https://www.youtube.com/playlist?list=PLxCzCOWd7aiHcmS4i14bI0VrMbZTUvlTa ►Database Management System: https://www.youtube.com/playlist?list=PLxCzCOWd7aiFAN6I8CuViBuCdJgiOkT2Y ► Python For Beginners(Complete Playlist): https://www.youtube.com/playlist?list=PLxCzCOWd7aiEb4apyN1Y8mD-QuUTr3SPQ ► Theory of Computation https://www.youtube.com/playlist?list=PLxCzCOWd7aiFM9Lj5G9G_76adtyb4ef7i ►Artificial Intelligence: https://www.youtube.com/playlist?list=PLxCzCOWd7aiHGhOHV-nwb0HR5US5GFKFI ►Computer Architecture: https://www.youtube.com/playlist?list=PLxCzCOWd7aiHMonh3G6QNKq53C6oNXGrX ►Operating System: https://www.youtube.com/playlist?list=PLxCzCOWd7aiGz9donHRrE9I3Mwn6XdP8p ►Structured Query Language (SQL): https://www.youtube.com/playlist?list=PLxCzCOWd7aiHqU4HKL7-SITyuSIcD93id ►Discrete Mathematics: https://www.youtube.com/playlist?list=PLxCzCOWd7aiH2wwES9vPWsEL6ipTaUSl3 ►Compiler Design: https://www.youtube.com/playlist?list=PLxCzCOWd7aiEKtKSIHYusizkESC42diyc ►Number System: https://www.youtube.com/playlist?list=PLxCzCOWd7aiFOet6KEEqDff1aXEGLdUzn ►Cloud Computing & BIG Data: https://www.youtube.com/playlist?list=PLxCzCOWd7aiHRHVUtR-O52MsrdUSrzuy4 ►Software Engineering: https://www.youtube.com/playlist?list=PLxCzCOWd7aiEed7SKZBnC6ypFDWYLRvB2 ►Data Structure: https://www.youtube.com/playlist?list=PLxCzCOWd7aiEwaANNt3OqJPVIxwp2ebiT ►Graph Theory: https://www.youtube.com/playlist?list=PLxCzCOWd7aiG0M5FqjyoqB20Edk0tyzVt ►Programming in C: https://www.youtube.com/playlist?list=PLxCzCOWd7aiGmiGl_DOuRMJYG8tOVuapB ►Digital Logic: https://www.youtube.com/playlist?list=PLxCzCOWd7aiGmXg4NoX6R31AsC5LeCPHe ► Class XI Computer Science(Full Syllabus) https://www.youtube.com/playlist?list=PLxCzCOWd7aiGPUtEXMqeQcHYH7ACCJvz7 ► Microprocessor Playlist: https://www.youtube.com/playlist?list=PLxCzCOWd7aiHL7mF_dRsj4Q9x1NNaZqkh --------------------------------------------------------------------------------------------------------------------------------------- Our social media Links: ► Subscribe to us on YouTube: https://www.youtube.com/gatesmashers ►Subscribe to our new channel: https://www.youtube.com/@varunainashots ► Like our page on Facebook: https://www.facebook.com/gatesmashers ► Follow us on Instagram: https://www.instagram.com/gate.smashers ► Follow us on Instagram: https://www.instagram.com/varunainashots ► Follow us on Telegram: https://t.me/gatesmashersofficial ► Follow us on Threads: https://www.threads.net/@gate.smashers -------------------------------------------------------------------------------------------------------------------------------------- ►For Any Query, Suggestion or notes contribution: Email us at: [email protected]