External Article

The End of Big Data

What is next for big data? Some experts claim that data "volumes, velocity, variety and veracity" will only increase over time, requiring more data storage, faster machines and more sophisticated analysis tools. However, this is short-sighted, and does not take into account how data degrades over time. Analysis of historical data will always be with us, but generation of the most useful analyses will be done with data we already have. To adapt, most organizations must grow and mature their analytical environments. Lockwood Lyon shares the steps they must take to prepare for the transition.

Blogs

ISACA AI Material/Exam Prep Discount (May 18 – June 30, 2026)

By

If you are considering any of the ISACA AI certs like the Advanced Artificial...

A Fabric solution can be very cost effective

By

Are you currently using Microsoft Fabric or considering migrating to it? If so, there...

Track SQL Server Configuration Changes Using the Error Log

By

Track SQL Server Configuration Changes Using the Error Log If you...

Read the latest Blogs

Forums

We Are Eating Our Own Seed Corn

By dbakevlar

Comments posted to this topic are about the item We Are Eating Our Own...

Before Using AI with Business Data, Read This

By rom_c99

Artificial intelligence tools are quickly becoming part of daily business operations, from document analysis...

Designing SQL Server ETL Pipelines That Don't Break at Scale

By SQL Expert

Comments posted to this topic are about the item Designing SQL Server ETL Pipelines...

Visit the forum

Question of the Day

Detecting Deadlocks Quickly

In the Database Engine, when a deadlock is detected, what does the detection interval shrink to (in time)?

See possible answers