What Is Real Time Data? Benefits, Examples, And Use Cases
Want to take advantage of real-time data in your business? This guide will provide in-depth information about real-time data and its uses.
real-time
Streaming Data Pipelines: Must-Have Features & Complexities
Streaming data pipelines are different from most data pipelines because they handle data continuously — in near-real-time. But they still have the fundamental pieces of a data pipeline.
How to create a real-time materialized view in PostgreSQL
In this article, we’ll discuss an example workflow that uses Estuary Flow to create a real-time materialized view in Postgres.
Announcing Estuary’s partnership with Rockset
As we expand our beta program, Estuary is thrilled to announce our partnership with Rockset.
3 reasons to rethink your approach to change data capture
As we navigate this rapidly evolving space, we should be familiar with the challenges of change data capture as it currently exists. But we should not expect them to remain the same for long.
Re-evaluating Kafka: issues and alternatives for real-time
Kafka’s challenges have exhausted many an engineer on the path to successful data streaming. What if there was an easier way?
5 example use-cases for real-time data processing
The applications for real-time data processing are diverse and far-reaching. This article highlights just a few.
Real-time vs batch data pipelines: a comprehensive introduction
Real-time and batch are two broad categories of data processing. Though they handle data differently, both are vital to the systems that make our businesses and society run.
Real-time MapReduce: Why MapReduce is making a comeback
What if we could adapt MapReduce to real-time data processing? Spoiler: it’s awesome and we’re building a next-gen data platform based on it!