Hacker News

DECEMBER 27, 2023

I recently finished reading PostgreSQL 14 Internals by Egor Rogov. One particularly interesting topic is PostgreSQL’s execution of UPDATE statements. Updates in relational databases are inherently complex. However, some behavior is specific to PostgreSQL. This can lead to surprises.

Computer Science 72

Computer Science Computer Science Database 72

AWS Machine Learning Blog

MAY 30, 2024

Additionally, VitechIQ includes metadata from the vector database (for example, document URLs) in the model’s output, providing users with source attribution and enhancing trust in the generated answers. These factors led to the selection of Amazon Aurora PostgreSQL as the store for vector embeddings.

AI 92

AI AI AWS Database 92

phData

OCTOBER 20, 2023

Production databases are a data-rich environment, and Fivetran would help us to migrate data by moving data from on-prem to the supported destinations; ensuring that this data remains uncorrupted throughout enhancements and transformations is crucial. We will now go over all the topics one by one.

Database 52

Database SQL ETL Data Warehouse 52

Mlearning.ai

AUGUST 10, 2023

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. Extract Data We will use Google Trends as a database to extract data, it is a public web-based tool that allows users to explore the popularity of search queries on Google. using Anconda Environment.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. There is one Query language known as SQL (Structured Query Language), which works for a type of database. SQL Databases are MySQL , PostgreSQL , MariaDB , etc. Why do we need databases?

Data Science 75

Data Science Machine Learning Machine Learning Database 75

AWS Machine Learning Blog

MARCH 1, 2024

Context is retrieved from the vector database based on the user query. Use cases for hybrid search The following are some common use cases for hybrid search: Open domain question answering – This involves answering questions on a wide variety of topics. Hybrid search can better handle such open-ended dialogs.

AWS 104

AWS Machine Learning Machine Learning Database 104

The MLOps Blog

OCTOBER 20, 2023

As I already mentioned, Jupyter notebooks are a polarising topic, so let’s go straight into my opinion. Executive summaries are always advisable as they’re perfect for stakeholders with a vague interest in the topic or limited time. Jupyter notebooks should be used for purely exploratory tasks or ad-hoc analysis ONLY.

SQL 52

SQL Database Data Scientist Python 52