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Data Warehousing Concepts in SQL: Understanding Star and Snowflake Schemas

Table of Contents Introduction What Is a Data Warehouse? OLTP vs OLAP: The Need for Warehousing Key Components of a Data Warehouse What Is Dimensional Modeling? Facts and Dimensions Explained The...
Kumar Prafull - 0

SQL with APIs and JSON Fields in PostgreSQL: Working with Semi-Structured Data

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SQL for Data Engineering: ETL Concepts and Building Scalable Data Pipelines

Table of Contents Introduction What Is Data Engineering and Why SQL Matters Understanding ETL (Extract, Transform, Load) SQL’s Role in Each ETL Stage Data Sources: Raw Data Ingestion with...
Kumar Prafull - 0

SQL for Data Analysis: Deep Dive into KPIs and Cohort Analysis

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Error Handling in SQL: Managing Exceptions and Ensuring Reliable Transactions

Table of Contents Introduction Why Error Handling Matters in SQL Types of Errors in SQL Syntax Errors vs Runtime Errors Understanding Transaction Errors Rollbacks for Safe Error Recovery Error Handling in...

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Stored Procedures and Functions in SQL: Encapsulating Logic for Reuse and Automation

Table of Contents Introduction What Are Stored Procedures and Functions? Benefits of Using Stored Routines Stored Procedures vs Functions: Key Differences Syntax for Creating Stored Procedures Executing a Stored Procedure Parameters...

Triggers in SQL: Automating Database Behavior

Table of Contents Introduction What Is a Trigger in SQL? Why Use Triggers? Types of Triggers Syntax of a Trigger BEFORE vs AFTER Triggers INSERT, UPDATE, and DELETE Triggers Trigger Events: Row-Level...

Using Constraints in SQL: NOT NULL, UNIQUE, CHECK, and DEFAULT

Table of Contents Introduction What Are Constraints in SQL? Why Use Constraints? NOT NULL Constraint UNIQUE Constraint CHECK Constraint DEFAULT Constraint Combining Multiple Constraints Adding Constraints to Existing Tables Dropping Constraints Naming Constraints for Clarity Column-Level...

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API Gateway Pattern with NestJS

Kumar Prafull -
In microservices architecture, one common design pattern for managing communication between multiple services is the API Gateway pattern. An API Gateway is a server...

tRPC vs REST vs GraphQL in NestJS

Kumar Prafull -
In modern web development, APIs are the backbone of communication between clients and servers. When building backend applications with NestJS, developers often face the...

Communication Between Services Using Message Brokers in NestJS

Kumar Prafull -
In a microservices architecture, the need for services to communicate asynchronously is crucial for building scalable, fault-tolerant, and loosely coupled systems. To achieve this,...

Building Microservices in NestJS (TCP, Redis, gRPC)

Kumar Prafull -
Microservices architecture is a popular pattern for designing scalable, flexible, and maintainable systems. NestJS, with its built-in support for multiple transport layers, makes it...

GraphQL Federation and Apollo Gateway in NestJS

Kumar Prafull -
As applications grow in complexity, microservices and modular architectures become essential. GraphQL Federation allows you to build a distributed GraphQL architecture where different services...

Performance Optimization with Dataloader in NestJS

Kumar Prafull -
In modern applications, performance is a critical factor, especially when dealing with complex databases and large datasets. One common performance issue arises when querying...

Handling Input Validation and Auth in GraphQL in NestJS

Kumar Prafull -
GraphQL allows for flexible and efficient data querying, but managing input validation and authentication within your GraphQL API requires specific strategies. NestJS provides powerful...

Resolvers, Queries, Mutations, and Subscriptions in NestJS

Kumar Prafull -
GraphQL enables you to interact with your data by defining a schema that specifies the types, queries, mutations, and subscriptions. The key component that...

Setting Up GraphQL with Code-First and Schema-First Approaches in NestJS

Kumar Prafull -
GraphQL is a query language for APIs that allows clients to request exactly the data they need, making it an efficient alternative to RESTful...

Working with Background Jobs using Bull and Redis in NestJS

Kumar Prafull -
Background jobs are crucial for offloading resource-intensive tasks, such as email sending, image processing, or data synchronization, from the main request-response cycle. Bull, a...

Using Event Emitters and Async Event Handling in NestJS

Kumar Prafull -
Event-driven architecture is a powerful design pattern that promotes loose coupling, scalability, and better organization of logic. In NestJS, you can leverage the built-in...

Redis Pub/Sub with WebSockets for Scalable Messaging in NestJS

Kumar Prafull -
As your real-time application grows, a single WebSocket server may not be able to handle all clients efficiently. In a distributed system where multiple...
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