Remove data-modeling-for-data-engineering-approaches-techniques
article thumbnail

Defining A Strategy For Your Data Products

Data Engineering Podcast

Summary The primary application of data has moved beyond analytics. With the broader audience comes the need to present data in a more approachable format. This has led to the broad adoption of data products being the delivery mechanism for information. With Materialize, you can!

BI 162
article thumbnail

Reduce Friction In Your Business Analytics Through Entity Centric Data Modeling

Data Engineering Podcast

Summary For business analytics the way that you model the data in your warehouse has a lasting impact on what types of questions can be answered quickly and easily. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Using Data To Illuminate The Intentionally Opaque Insurance Industry

Data Engineering Podcast

In this episode he shares his journey of data collection and analysis and the challenges of automating an intentionally manual industry. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. With Materialize, you can!

Insurance 162
article thumbnail

New Approaches For Detecting AI-Generated Profile Photos

LinkedIn Engineering

Co-authors: Shivansh Mundra , Gonzalo Aniano Porcile , Smit Marvaniya , Hany Farid A core part of what we do on the Trust Data Team at LinkedIn is create, deploy, and maintain models that detect and prevent many types of abuse. This spans the detection and prevention of fake accounts, account takeovers, and policy-violating content.

Media 132
article thumbnail

How to get datasets for Machine Learning?

Knowledge Hut

Also called data storage areas , they help users to understand the essential insights about the information they represent. Datasets play a crucial role and are at the heart of all Machine Learning models. Machine learning uses algorithms that comb through data sets and continuously improve the machine learning model.

article thumbnail

What are the Commonly Used Machine Learning Algorithms?

Knowledge Hut

Machine Learning is a sub-branch of Artificial Intelligence, used for the analysis of data. It learns from the data that is input and predicts the output from the data rather than being explicitly programmed. If ML algorithms consume more amounts of data while solving a problem, it results in better performance.

article thumbnail

Data Engineering Weekly #167

Data Engineering Weekly

Meta: OpenEQA - From word models to world models Will AI agents soon become a common fixture in our homes and an integral part of our daily lives? link] Github: 4 ways GitHub engineers use GitHub Copilot The impact of LLM on software development is undeniable.