Fri.Oct 11, 2024

article thumbnail

The Dawn of the AI-Native Data Stack - Part 1

Data Engineering Weekly

The data world is abuzz with speculation about the future of data engineering and the successor to the celebrated modern data stack. While the modern data stack has undeniably revolutionized data management with its cloud-native approach, its complexities and limitations are becoming increasingly apparent. As we grapple with these, another seismic shift is upon us—the rise of Large Language Models (LLMs).

article thumbnail

Claude AI: Unboxing Anthropic’s LLM-based AI Assistant, Artifacts & Use Cases

KDnuggets

Dive into this emerging and powerful LLM-based AI tool for enhancing your business, creative, or daily processes through well-managed conversations.

Process 119
Insiders

Sign Up for our Newsletter

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

article thumbnail

What is a Data Pipeline (and 7 Must-Have Features of Modern Data Pipelines)

Striim

A well-executed data pipeline can make or break your company’s ability to leverage real-time insights and stay competitive. Thriving in today’s world requires building modern data pipelines that make moving data and extracting valuable insights quick and simple. Today, we’ll answer the question, “What is a data pipeline?” Then, we’ll explore a data pipeline example and dive deeper into the key differences between a traditional data pipeline vs ETL.

article thumbnail

Latest Innovations in Recommendation Systems with LLMs

KDnuggets

In this article, we’ll explore how LLMs are changing recommendation systems as we speak. Let's first start with a brief overview.

Systems 89
article thumbnail

Changing the Game with MES: Cut Costs, Drive Efficiency, & Achieve Sustainability Goals!

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

In an era where efficiency is king, are you leveraging the right tools to transform your manufacturing processes? A Manufacturing Execution System (MES) is critical for enhancing operational efficiency, reducing waste, and optimizing energy usage—key factors for improving your bottom line and lowering your carbon footprint. Join Nikhil Joshi, a manufacturing technology expert with 18+ years of hands-on experience, in this new webinar as he uncovers the secrets of MES and how to best utilize thes

article thumbnail

A 5-Step Incident Management Framework for Enterprise Data Organizations

Monte Carlo

There are a few adages that stand the test of time. “Better late than never.” “Actions speak louder than words.” “Two wrongs don’t make a right.” And, perhaps the most important: “You can’t improve data quality without incident management.” Which leaves a lot of data teams decidedly not improving their data quality—despite their best efforts to the contrary.

article thumbnail

Shift Left: Bad Data in Event Streams, Part 2

Confluent

Learn how to leverage event design to make eventual bad data in your event streams easier to repair, and also what to do when you have a contaminated stream.

Data 52

More Trending

article thumbnail

Ray Batch Inference at Pinterest (Part 3)

Pinterest Engineering

Alex Wang; Software Engineer I | Lei Pan; Software Engineer II | Raymond Lee; Senior Software Engineer | Saurabh Vishwas Joshi; Senior Staff Software Engineer | Chia-Wei Chen; Senior Software Engineer | Introduction In Part 1 of our blog series, we discussed why we chose to use Ray(™) as a last mile data processing framework and how it enabled us to solve critical business problems.

article thumbnail

ReactJS State Guide: Exploring SetState, Props, and State

Edureka

ReactJS is the JavaScript library to develop UI components. It is used by many companies like Netflix, Airbnb, The New York Times, etc. A focal aspect that has contributed to the popularity of MySQL is its capability of delivering results in the shortest time possible. React applications are generally faster than those developed from older frameworks, such as Angular.

MySQL 40