KDnuggets

APRIL 25, 2025

Ready to level up your data engineering game without wasting hours on setup? From ingestion to orchestration, these Docker containers handle it all.

Data Engineering 64

Data Engineering Data Engineer Engineering Data 64

databricks

APRIL 25, 2025

We are thrilled to announce that the sharing of materialized views and streaming tables is now available in Public Preview.

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Confluent

APRIL 25, 2025

This blog post demonstrates how to use Tableflow to easily transform Kafka topics into queryable Iceberg tables using UK Environment Agency sensor data as a data source.

Data Pipeline 40

Data Pipeline Kafka Building Data 40

databricks

APRIL 25, 2025

The Challenge: Fragmented Data and Delayed Decision-Making Energy companies grapple with a pervasive challenge: data silos.

Systems 52

Systems Manufacturing Data 52

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

If AI agents are going to deliver ROI, they need to move beyond chat and actually do things. But, turning a model into a reliable, secure workflow agent isn’t as simple as plugging in an API. In this new webinar, Alex Salazar and Nate Barbettini will break down the emerging AI architecture that makes action possible, and how it differs from traditional integration approaches.

Systems

Monte Carlo

APRIL 25, 2025

Hallucinationwhen an AI confidently generates false or nonsensical outputsis the most notorious failure mode for AI applications. But is it really the one you need to worry about? A lot of noise has been made about hallucinations in recent months. As more companies introduce AI into production, the issue of hallucinations is perennially in the news.

Coding 52

Coding Building Systems IT 52

Snowflake

APRIL 25, 2025

In todays fast-paced, hypercompetitive business environment, brands face a mounting challenge: Deliver a highly personalized and relevant customer experience, or potentially risk falling behind the competition. With consumer expectations skyrocketing demanding the right product, at the right time and in the right place its no longer enough to simply offer what people want.

Retail 52

Retail Consulting Media Utilities 52

Edureka

APRIL 25, 2025

Imagine you’re using Google Photos, and you search for “beach.” Instantly, it shows images of oceans, sand, sunsets—even if the word “beach” doesn’t appear in the photo name or description. How does it know? Behind the scenes, Google Photos uses vector embeddings. It turns each photo into a numerical vector that captures its visual features.

Raw Data 40

Raw Data Machine Learning Certification Deep Learning 40