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    Database Essentials For Backend Engineers: A Full Overview

    Posted By: ELK1nG
    Database Essentials For Backend Engineers: A Full Overview

    Database Essentials For Backend Engineers: A Full Overview
    Published 1/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 2.43 GB | Duration: 3h 29m

    Database Basics and Scalability: Covering relational design, NoSQL strategies, caching solutions, and time series data

    What you'll learn

    Choose between SQL, NoSQL, NewSQL, and specialized databases by understanding their distinct use cases and architectural trade-offs

    Master relational databases through schema design, ACID compliance, and SQL querying for traditional enterprise applications

    Understand key-value stores for high-speed caching and session management, with strategies for handling data relationships

    Learn how applications with document databases like MongoDB, leverage flexible schemas and complex document queries

    Learn about columnar databases like Cassandra for distributed data processing and analytics across multiple database instances

    Scale applications horizontally using database sharding, replication, and distributed transaction management

    Harness time series databases for IoT sensors, market data, and application monitoring with efficient data aggregation

    Design systems using NewSQL databases that combine ACID compliance with horizontal scaling for global applications

    Integrate Java applications with databases using JDBC and ORM frameworks while optimizing for performance

    Understand graph databases for complex relationship mapping in social networks and recommendation systems

    Requirements

    Basic knowledge of at least one programming language

    Familiarity with common system design concepts (client-server interactions, APIs)

    Description

    Are you preparing for an interview or working on a codebase and need a rock-solid foundation in database technologies? Look no further. Database Essentials for Backend Engineers is a comprehensive dive into the world of data storage, designed to equip you with the knowledge and confidence to make the right decisions about how and where to store your application data.We begin by exploring why data is considered the lifeblood of modern applications, showing you real-world examples of how poor database choices can cripple even the most innovative ideas. You’ll learn the differences between relational and NoSQL databases—when to prioritize strong consistency, and when horizontal scalability becomes paramount. We’ll cover everything from core SQL and transactional data management to powerful NoSQL paradigms like document stores, key-value pairs, columnar data, and graph databases.But it doesn’t stop there. This course dives into the practicalities of scaling databases, revealing strategies like read replicas, sharding, and distributed transactions, so your system can handle massive volumes of traffic without skipping a beat. You’ll see how caching mechanisms (using tools like Redis or Memcached) offload work from primary databases, while file storage (such as Amazon S3) and content delivery networks (CDNs) optimize the handling of large static assets.Moreover, we take a close look at specialized time series databases, unveiling how they streamline real-time analytics for IoT devices, financial markets, and high-velocity logging. By comparing traditional relational systems to emerging NewSQL solutions, you’ll get a front-row seat to the future of global-scale data consistency—ideal for mission-critical services such as payment processing or financial transactions.Throughout the course, you’ll gain hands-on exposure to Java-based integrations. We’ll discuss JDBC (Java Database Connectivity) for direct queries and explore how Object-Relational Mapping (ORM) frameworks—such as Hibernate and JPA—bridge the gap between object-oriented code and relational data. This full-stack perspective ties together the conceptual and the practical, ensuring you understand not just what to do, but also how to do it.By the end of Database Essentials for Backend Engineers, you’ll have a powerful toolkit that combines deep conceptual insight with real-world techniques. You’ll be ready to tackle system design interviews, craft robust backend architectures, and confidently select the right database solution to deliver high performance, reliability, and scalability—no matter the size or complexity of your application.

    Overview

    Section 1: Introduction to Databases

    Lecture 1 Introduction and goal

    Lecture 2 The importance of data storage

    Lecture 3 Databases in system design interviews

    Lecture 4 Other data storage types

    Lecture 5 History of databases

    Lecture 6 Databases in backend development

    Lecture 7 Audience questions

    Section 2: Fundamentals of Databases

    Lecture 8 Understanding database types

    Lecture 9 Audience questions

    Lecture 10 Database models

    Lecture 11 Schemas, indexes and transactions

    Section 3: Relational Databases

    Lecture 12 Relational database - key ideas

    Lecture 13 ACID compliance

    Lecture 14 Audience questions

    Lecture 15 ORM in Java

    Lecture 16 Pros, cons and when to use relational databases

    Lecture 17 Relational database use case study

    Lecture 18 Scaling strategies with RDBMS

    Section 4: NoSQL Databases

    Lecture 19 Introduction to NoSQL databases

    Lecture 20 Types of NoSQL databases

    Lecture 21 Key-value vs document databases

    Lecture 22 Audience questions

    Lecture 23 Advantages and disadvantages of NoSQL databases

    Lecture 24 Strategies for ACID in NoSQL DBs

    Lecture 25 Audience questions

    Lecture 26 Transactions in document databases

    Section 5: NewSQL Databases

    Lecture 27 What are NewSQL databases_

    Lecture 28 Use case for NewSQL

    Lecture 29 Audience questions

    Section 6: Time Series Databases

    Lecture 30 Time series databases

    Lecture 31 How time series databases work

    Lecture 32 When to choose time series database

    Lecture 33 Disadvantages of time series databases

    Lecture 34 Some use cases for time series databases

    Section 7: Conclusion

    Lecture 35 Conclusion

    Aspiring Backend Engineers: Those looking to solidify their database knowledge and confidently select the right data solution in system design.,Experienced Developers: Professionals needing a refresher on modern database trends (NoSQL, caching, time series) to stay current with industry practices.,System Architects and Tech Leads: Teams or individuals designing high-traffic applications who must balance performance, scalability, and consistency.,Data Enthusiasts: Anyone keen to understand how different storage paradigms support business-critical applications, from banking systems to real-time analytics.