Automating Data Preparation in a Digitalized World, Part 4

Jul 17, 2016 by Barry Devlin in Information Architecture

ABSTRACT:

In an era of ever increasing volumes of ever dirtier data, the old concepts of data warehouses and ETL must be extended far beyond their current meanings. Both are key components of data preparation as discussed in part 1. Data warehouse automation (DWA) was explored in part 2 and ETL in part 3....

Streaming, Spark, and Governance Top Themes at Strata+Hadoop World NYC

Oct 05, 2015 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

The east coast confab for big data—otherwise known as Strata+Hadoop World in New York City—was abuzz with the digital literati who were treated to hundreds of sessions and exhibitors. Out of the noise and excitement, three major trends emerged: streaming, Spark, and big data governance.

Big Data Predictions 2015

Jan 26, 2015 by Joe Caserta in Big Data

ABSTRACT:

It’s the time of year for looking ahead and gaze into the future to ponder where data management and analytics technology are headed. As I have done for the past few years, I step up to offer my vision and make predictions for what’s to come in 2015. I also look back at 2014 to see how my...

Build or Buy RAG? Four Questions to Guide Your Approach to Retrieval Augmented Generation for GenAI

Jan 06, 2025 by Kevin Petrie in Decoding Data Software

ABSTRACT:

This blog recommends four questions to help data and AI leaders compare homegrown and commercial options for retrieval augmented generation.

AI/ML Innovation Requires a Flexible Yet Governed Data Architecture

Jul 10, 2024 by Kevin Petrie in Decoding Data Software

ABSTRACT:

Data analytics is a balance of flexibility for innovation and governance to control risks. This blog discusses its implications for artificial intelligence (AI), including machine learning (ML) and generative AI (GenAI).