Remove in-depth
article thumbnail

An In-Depth Data Mesh Discussion with Zhamak Dehghani

Jesse Anderson

We also had the good fortune that the universe was aligned with our desire to delve into data mesh, with her freshly published book, Data Mesh: Delivering Data-Driven Value at Scale , giving us a great base to have an in-depth discussion and not just another interview. I interviewed Zhamak last season as more of an introduction to Data Mesh.

article thumbnail

Density Kernel Depth for Outlier Detection in Functional Data

KDnuggets

The Density Kernel Depth (DKD) method provides a nuanced approach to detect outliers in functional data, offering clarity in complex datasets and ensuring data quality. Its application becomes crucial as we navigate increasingly intricate data landscapes.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Your Guide to Flink SQL: An In-Depth Exploration

Confluent

Get an in-depth introduction to Flink SQL. Learn how it relates to other APIs, its built-in functions and operations, which queries to try first, and see syntax examples.

SQL 69
article thumbnail

Understanding Machine Learning Algorithms: An In-Depth Overview

KDnuggets

Understanding Machine Learning: Exposing the Tasks, Algorithms, and Selecting the Best Model.

article thumbnail

How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

article thumbnail

Pythia: A Suite of 16 LLMs for In-Depth Research

KDnuggets

Pythia is a suite of 16 large language models by Eleuther AI. It helps understand and analyze autoregressive large language models during training and scaling.

IT 81
article thumbnail

CockroachDB In Depth with Peter Mattis - Episode 35

Data Engineering Podcast

Summary With the increased ease of gaining access to servers in data centers across the world has come the need for supporting globally distributed data storage. With the first wave of cloud era databases the ability to replicate information geographically came at the expense of transactions and familiar query languages.