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Understanding Data Warehouses, Data Lakes, and Data Marts

In a modern data architecture, these three components often work together:,a Data Lake serves as the initial landing zone for all raw data, a Data Warehouse holds the processed and trusted enterprise-wide data for BI, and multiple Data Marts provide focused, high-performance data for individual departments.

SQL Denormalization| A Key to High-Performance OLAP Systems

An index is a special lookup table that the database search engine uses to speed up data retrieval operations. Think of it like the index at the back of a book, instead of reading every page to find a specific topic, you go to the index, find the topic, and it points you directly to the relevant page numbers.

SQL Database Optimization| Normalization

This article introduces Normalization as a core principle in SQL database design, focusing on efficient data organization, redundancy reduction, and data integrity improvement. It likens normalization to effective digital file management, where a single master copy of data is maintained to avoid duplication.

Leveraging SQL SET Operators for Advanced Data Manipulation

Set operators are used for data cleaning, analysis results from two difference tables, different tables present in different schemas. These operators are very useful for data comparing and analytical purpose.

OLTP vs OLAP||A Deep Dive into Transactional and Analytical Data Processing

In the vast landscape of data management and analytics, two fundamental approaches stand out Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP). While both deal with data, their core objectives, underlying architectures, and operational characteristics are strikingly different, yet often complementary. Understanding this distinction is crucial for any organization aiming to effectively manage its data, optimize its operations, and derive meaningful insights for strategic decision making.

Understanding SQL Indexes Types B Trees and Performance Benefits

An index is a special lookup table that the database search engine uses to speed up data retrieval operations. Think of it like the index at the back of a book instead of reading every page to find a specific topic, you go to the index, find the topic, and it points you directly to the relevant page numbers.

Scenario based SQL interview question how to extract domain from an email

In this article you will learn Scenario based SQL interview questions trending in 2025 so one of the trending question in how to extract domain name from an email with example of various Databases.

Understanding Views and Materialized Views in SQL

Views and materialized views are both database objects that represent the result of a query, but they differ significantly in how they store and manage data. A view provides a dynamic, real-time look at your data without storing it, while a materialized view provides a static, pre-computed snapshot of your data for faster retrieval at the cost of potential staleness and increased storage/maintenance.

Databases and SQL Organizing and Accessing Data in the Digital Age

Database emerged where large collection of data can be store in tabular format making the data organized and easy accessibility of data within the computer electronically. Here referred data can be image, text, numeric values

Mastering the Basics | 10 Essential Unix Commands for Beginners

The article we will learn some most basic Unix commands, If you are a fresher or new to Unix this article will help you learn and understand the most basic Unix commands which any one can learn in few minutes. Also, these are frequently asked questions in interview.

Mastering SQL windows function |RANK, DENSE_RANK, ROW_NUMBER

The article we will learn about sql windows function like RANK, DENSE_RANK, ROW_NUMBER which ahs wide implementation, widely used for assigning ranks or numbers to rows within a result set, but they handle ties (duplicate values in the ordering column) differently.

Practical use of Database In Business and Industries

Database has huge applications in today’s life. As we are becoming more digital we are generating humongous digital data like photos, videos, text-based files, electronic books, and e-newspapers , healthcare data, transactional data, insurance data etc which is now a part of our day-to-day activity. We need to store those data electronically in computer systems with the hep of databases or DBMS so that data can be managed in a readable format, also can be retrieve when required for our future references.