Achieving Fusion: How GenAI and Data Engineering Help One Another

Apr 16, 2024 by Kevin Petrie in Decoding Data Software

ABSTRACT:

GenAI can help data engineers become more productive, and data engineering can help GenAI drive new levels of innovation. 

Twelve Must-Have Characteristics of a Modern Data Stack

Apr 04, 2023 by Kevin Petrie in Decoding Data Software

ABSTRACT:

The modern data stack must be automated, low code/no code, AI-assisted, graph-enabled, multimodal, streaming, distributed, meshy, converged, polyglot, open, and governed.

Data Engineering for the Data Lakehouse: Four Guiding Principles

Mar 24, 2023 by Kevin Petrie in Decoding Data Software

ABSTRACT:

This blog recommends four guiding principles for effective data engineering in a lakehouse environment.

Data Fabric’s Use of Abstraction and Metadata

Feb 14, 2023 by Jay Piscioneri in Reinventing with Data

ABSTRACT:

Data fabric may be a buzzword. But it’s shorthand for data issues that we must manage. Read on to learn what data fabric is and why it’s important.

Location Intelligence Part II: Real World Examples from Businesses that Use Geospatial Data

Aug 04, 2022 by Joe Hilleary in Delving Into Data

ABSTRACT:

This article, the second in a series, shares cutting-edge examples of location intelligence applications from the real world.