Databases are the backbone of most modern applications since they store and manage the data that powers the application. There are many types of databases, including relational databases, NoSQL databases, in-memory databases, and key-value stores. Each type of database has its own strengths and weaknesses, and the best choice depends on the specific requirements of the application.
Explore computer memory and storage: RAM, ROM, HDD, SSD, and more.
Explore the top 5 Kafka use cases for data streaming and processing.
Understand the ACID properties of database transactions.
Concise guide to optimize database performance with key strategies.
Explore the different types of database locks and their functionalities.
Explore key concepts of database sharding with vertical/horizontal strategies.
Explore common database types: relational, OLAP, NoSQL, and more.
Explore consistent hashing: its benefits, and real-world applications.
Explore the CAP theorem, its implications, and common misunderstandings.
Explore the evolution of message queue architectures: IBM MQ to Pulsar.
Learn database sharding: concepts, techniques, and implementation.
Learn how to implement the read replica pattern using database middleware.
Explore 8 key data structures that drive database efficiency.
Explore iQIYI's database selection process for relational and NoSQL.
A guide to selecting the optimal database for your specific needs.
Explore PostgreSQL's versatility and its impact on the database landscape.
Explore the top 10 open-source databases and their impact.
Explore why PostgreSQL was voted the most loved database in the 2022 survey.
Explore serverless databases, their benefits, and how they differ.
Explore the steps of SQL statement execution within a database system.
Explore the top 6 database models and their unique characteristics.
Explore the top data sharding algorithms for efficient data management.
Explore different database types and their use cases.
Explore the hierarchy of memory types, from registers to remote storage.
A handy guide to cloud databases and their open-source alternatives.
A guide to choosing the right database for your specific needs.
Explore the differences between B-Tree and LSM-Tree data structures.
Explore eventual consistency patterns for distributed database design.
Explore the top 6 use cases of object stores in modern data management.
A detailed overview of block, file, and object storage systems.
Explore Kafka's message loss scenarios and prevention strategies.
Learn how Change Data Capture (CDC) helps leverage real-time data.
Understand at-most once, at-least once, and exactly once delivery semantics.
Explore erasure coding: enhancing data durability in object storage.
Explore the nuances of event sourcing system design and its benefits.
Learn about Time Series Databases (TSDB) and their applications.
Learn about the 4 most commonly used types of queues in a single diagram
Explore the key design choices behind Kafka's high performance.
Explore 6 key data management patterns for efficient data handling.
Explore database isolation levels and their impact on transaction concurrency.
Learn the fundamentals of Kafka in 8 simple steps.
Learn how Apache Avro facilitates smooth data migration with schema evolution.
Explore different types of message queues and their key features.
Optimize performance when uploading large files to object storage like S3.
Explore pessimistic and optimistic locking strategies for data consistency.
Explore the read replica pattern for database design and optimization.
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