ShaikBlog

  The Complete SQL Course Introduction This blog post is based on an end-to-end SQL course where I teach Structured Query Language (SQL) using Microsoft SQL Server. In this blog, I will outline the key concepts covered in the course and provide an introduction to SQL, database management systems (DBMS), and the importance of databases. Before diving into SQL, let's quickly revise some key concepts: Databases Database Management Systems (DBMS) Types of Databases Why SQL is Important Why Do We Need a Database? Understanding Data Data is everywhere! Any piece of stored information is considered data.  For example, customer records, phone numbers, employee details, transaction history, etc., all qualify as data. The primary purpose of a database is to store and manage data efficiently. Before Databases: File Systems (back in 1960's) Before the invention of databases, organizations stored data using file systems . Here’s how they worked: Data was stored in text files, Excel sheets...

 Data Engineering Lifecycle 1. Why Do We Need a Lifecycle? Data cannot simply be taken from one source and given to a Data Science team. There must be a step-by-step approach to ensure the data pipeline serves a meaningful purpose. This structured approach is called the Data Engineering Lifecycle . 2. The Data Engineering Lifecycle Stages 1. Data Generation Data is generated from multiple sources such as: APIs (e.g., fetching data from online services). Databases (RDBMS) (e.g., transactional data). Sensors (e.g., IoT devices, vehicle trackers). Analytics Tools (e.g., Google Analytics, log data). 2. Data Ingestion Once data is generated, it must be collected and ingested into the system. This involves setting up connections to: APIs Databases (RDBMS) Sensors and real-time data sources Purpose of Ingestion : Ensures that whenever new data is created, it is automatically collected for processing. 3. Data Storage After ingestion, data must be stored properly . Storage options in...

The Fundamentals of Data Engineering 1. Understanding Data Engineering Before diving into Data Engineering, it’s important to understand its basics. If you are new to Data Engineering, let’s start by understanding what it is. 2. Data Engineering and the Internet Everything that happens on the internet generates data. Businesses like Amazon, Netflix, and Zomato use data to improve their services and operations. Amazon allows customers to buy products online. Netflix provides exclusive content and personalized recommendations. Zomato (a food delivery app) delivers food from restaurants to customers. 3. Why Do Businesses Use Data? Companies have different goals, such as: Understanding customers to offer better services. Increasing profits by making informed decisions. Identifying and fixing problems in their processes. To achieve these goals, they need data-driven decision-making instead of relying on assumptions. 4. Data-Driven Decision Making Many business decisions are made bas...