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Build a financial research assistant using Amazon Q Business and Amazon QuickSight for generative AI–powered insights

Flipboard

According to a Gartner survey in 2024 , 58% of finance functions have adopted generative AI, marking a significant rise in adoption. Their information is split between two types of data: unstructured data (such as PDFs, HTML pages, and documents) and structured data (such as databases, data lakes, and real-time reports).

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Presentation: Why a Hedge Fund Built Its Own Database

Hacker News

James Munro discusses ArcticDB and the practicalities of building a performant time-series datastore and why transactions, particularly the Isolation in ACID is just not worth it. By James Munro

Database 160
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What Does a Data Engineering Job Involve in 2024?

ODSC - Open Data Science

Data engineering is a hot topic in the AI industry right now. And as data’s complexity and volume grow, its importance across industries will only become more noticeable. But what exactly do data engineers do? So let’s do a quick overview of the job of data engineer, and maybe you might find a new interest.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

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Announcing the First Speakers for the 2024 Data Engineering Summit

ODSC - Open Data Science

We couldn’t be more excited to announce the first sessions for our second annual Data Engineering Summit , co-located with ODSC East this April. Join us for 2 days of talks and panels from leading experts and data engineering pioneers. Is Gen AI A Data Engineering or Software Engineering Problem?

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Data4ML Preparation Guidelines (Beyond The Basics)

Towards AI

Last Updated on November 9, 2024 by Editorial Team Author(s): Houssem Ben Braiek Originally published on Towards AI. Data preparation isn’t just a part of the ML engineering process — it’s the heart of it. Reading Data: Aggregating all sources into a single combined dataset. This member-only story is on us.

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How to Shift from Data Science to Data Engineering

ODSC - Open Data Science

Data engineering is a rapidly growing field, and there is a high demand for skilled data engineers. If you are a data scientist, you may be wondering if you can transition into data engineering. In this blog post, we will discuss how you can become a data engineer if you are a data scientist.