Aditya GoelBias vs Variance — SimplifiedIn the context of machine learning and statistics, bias and variance are two sources of errors in models. Understanding them can help you…Sep 16, 2023Sep 16, 2023
Aditya GoelUnderstanding Normalization and Denormalization for Efficient Data ManagementNormalization and denormalization are two database design techniques used to organize and structure data in a database. Let’s explain each…Sep 1, 2023Sep 1, 2023
Aditya GoelACID PropertiesACID is an acronym that represents the four essential properties of a reliable and consistent database transaction.Aug 4, 2023Aug 4, 2023
Aditya GoelDatabase Schema Types: Breaking Down- Physical, Logical, and View SchemasTypes of Schema:Think of “types of schema” as different ways of looking at and organizing a database:Jul 30, 2023Jul 30, 2023
Aditya GoelData ModelsData Model is the modeling of the data description, data semantics, and consistency constraints of the data. It provides the conceptual…Jul 29, 2023Jul 29, 2023
Aditya GoelData Model, Schema, and InstanceData Model: A data model is a conceptual representation of how data is organized, stored, and accessed in a database system. It defines the…Jul 28, 2023Jul 28, 2023
Aditya GoelDatabase Fundamentals: Understanding Tables, Rows, Columns, and More!”Table/Relation?Everything in a relational database is stored in the form of relations. The RDBMS database uses tables to store data. A…Jul 27, 2023Jul 27, 2023
Aditya GoelDatabase Management System (DBMS):To understand this better have a look at Demystifying Data, Databases, and DBMSJul 26, 2023Jul 26, 2023
Aditya GoelDemystifying Data, Databases, and DBMSIn today’s digital world, data is everywhere. From the photos we share on social media to the transactions we make while shopping online…Jul 26, 2023Jul 26, 2023
