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Please Use Streaming Workload to Benchmark Vector Databases

Towards Data Science

Today, many vectors are embeddings generated by deep neural nets like GPTs and CLIP to represent data points such as pieces of text, images, or audio tracks. After performing the same procedure for each ANN index, the benchmark generates a plot like the one below: Figure from ANN Benchmarks (11/25/2023). A static workload benchmark.

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The Role of Database Applications in Modern Business Environments

Knowledge Hut

Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

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Types of Regression Analysis in Machine Learning

ProjectPro

Regression analysis is the favorite of data science and machine learning practitioners as it provides a great level of flexibility and reliability making it an ideal choice for analyzing different situations like - Do educational degrees and IQ affect salary? Is consuming caffeine and smoking-related to mortality risk?

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How We Scaled New Verticals Fulfillment Backend with CockroachDB

DoorDash Engineering

CockroachDB is a scalable, consistently-replicated, transactional datastore, and it’s designed to run on the cloud with high fault tolerance. Tables over the limit can become unreliable and we started observing performance issues.

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Hotel Price Prediction: Hands-On Experience of ADR Forecasting

AltexSoft

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. There are quite a few KPIs used by hotels to track their performance and support their business analysis. Of course, all these prediction activities don’t happen by magic.

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Enhancing homepage feed relevance by harnessing the power of large corpus sparse ID embeddings

LinkedIn Engineering

To achieve this, we are continually working to modernize our architecture , and we have recently made further improvements that simplify the process while maintaining excellent performance. In this blog post, we are delighted to introduce a significant upgrade to our model's capabilities.

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Streaming Big Data Files from Cloud Storage

Towards Data Science

Methods for efficient consumption of large files Photo by Aron Visuals on Unsplash Working with very large files can pose challenges to application developers related to efficient resource management and runtime performance. This continues a series of posts on the topic of efficient ingestion of data from the cloud (e.g.,