## Diving Deep into Partitioned Logs: Scaling and Fault Tolerance in Data Systems Let's explore "Partitioned Logs," a k…
## Bridging the Gap: How Databases and Streams are More Alike Than You Think We often think of databases and message br…
## Understanding and Synchronizing Data Systems in Distributed Environments In today's data-driven world, applications …
## Change Data Capture: Keeping Your Data in Sync, in Real-Time In today's data-driven world, keeping various data syst…
## Unlocking the Past: A Deep Dive into Event Sourcing Ever wished you could rewind your application to a specific poin…
## State, Streams, and Immutability: Building Blocks for Robust Data Systems In the world of data-intensive application…
## Taming the Data Deluge: Understanding Stream Processing In the world of data, we often think in terms of neat, tidy …
## Beyond Batch: Unleashing the Power of Stream Processing In the world of data, not all processing is created equal. W…
## Reasoning About Time Explained: Keeping Order in a Distributed World In the world of distributed systems, time isn't…
## Stream Joins Explained: A Technical Deep Dive Stream joins are a cornerstone of real-time data processing, enabling …
# Understanding and Handling Fault Tolerance in Data-Intensive Applications In the complex landscape of data-intensive …
## Decoding Data Systems: A Deep Dive into the "Designing Data-Intensive Applications" Summary "Designing Data-Intensiv…