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stream processing

A collection of 6 posts

One-way synchronization without triggers with the ability to use threads by default

One-way synchronization without triggers with the ability to use threads by default

Multi-threading is a feature which a platform (for example an Operating System or a Virtual Machine) or an application may have. It means that a process generated in the operating system can consist of several threads running in parallel, that is, without a specific order in time. Such division allows

What Is a Streaming Database?

dbconvert streams Featured

What Is a Streaming Database?

Streaming databases are the superheroes in data management that handle constant data updates and provide real-time information for various applications.

Debezium vs DBConvert Streams: Which Offers Superior Performance in Data Streaming?

dbconvert streams

Debezium vs DBConvert Streams: Which Offers Superior Performance in Data Streaming?

In contemporary application design that utilizes microservices and keeps up with dynamic analytics demands, it's common to synchronize data from various databases dispersed throughout an enterprise and integrated with diverse systems. In modern applications, real-time syncing of databases is often necessary, so the synchronization cannot wait for a batch job

PostgreSQL Change data capture (CDC) + golang sample code.

Change Data Capture Featured

PostgreSQL Change data capture (CDC) + golang sample code.

PostgreSQL offers Logical Decoding Method to make log-based change data capture possible. Setup and run CDC in several steps.

JSON Lines format: Why jsonl is what you need for data streams?

JSON Lines format: Why jsonl is what you need for data streams?

JSON Lines is appealing format for data streaming. Since every new line means a separate entry makes the JSON Lines formatted file streamable.

Data stream processing.

stream processing

Data stream processing.

What is Data Stream processing? Collect, process and extract real value from data sources in real-time . Deliver data much faster than ever before.