hkdulay

3 ms·

1.
by hkdulay 3y ago
Confluent's Tableflow announcement gives us a new perspective on data analytics. Stream-To-Table isn't like Farm-To-Table. The transition from stream to table isn't clean. If you're not familiar with the Small Files Issu
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by hkdulay 3y ago
Easy Introduction to Real-Time RAG. Learn how to build one yourself using Apache Pinot. In this use case, we load pages from rtasummit.com and as the LLM questions.
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Easy Introduction to Vector Databases(hubertdulay.substack.com)
37 points by hkdulay 3y ago|5 comments
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by hkdulay 3y ago
As part of the massive shift into AI, vector databases have been increasing in popularity. Also known as vectorized databases, they play a crucial role in the context of AI, so it’s important to understand how they work. To do so, we’ll nee
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OBT vs. Star Schema(hubertdulay.substack.com)
1 points by hkdulay 3y ago|1 comments
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by hkdulay 3y ago
"One Big Table" (OBT) is a database design approach in which all the data is stored in a large table. There are no relations between tables in this schema, and all the information is contained within a single structure. This desig
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by hkdulay 3y ago
Materialize and RisingWave have customers in production
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What Is a Streaming Database(hubertdulay.substack.com)
4 points by hkdulay 3y ago|3 comments
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by hkdulay 3y ago
The goal of this post is to describe the differences between - stream processing, real-time OLAP databases, and streaming databases. This knowledge will help you to organize and add structure to your research to enable you to make the best
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Real-time analytics with stream processing and OLAP(medium.com)
1 points by hkdulay 3y ago|1 comments
11.
by hkdulay 3y ago
Getting started with a real-time analytics use case using an open source streaming database - RisingWave and Apache Pinot. Deploy using Kind and Helm charts!