Mullins Consulting, Inc.

06/10/2026

The State of Enterprise Databases in 2026

For decades, enterprise databases have served as the backbone of business computing. They process transactions, safeguard critical information, support regulatory compliance, and increasingly fuel analytics and artificial intelligence initiatives. While the technologies surrounding databases continue to evolve, the fundamental role of enterprise database systems remains remarkably consistent: ensuring that business data is accurate, available, secure, and performant. As we move through 2026, organizations face mounting pressure from multiple directions....

05/19/2026

Why “Cloud‑Only” Strategies Fail forMission‑Critical Workloads

In the rush to modernize IT infrastructure, "cloud-only" has become a popular mantra for CIOs looking to simplify operations and reduce capital expenditure. The allure is understandable: the promise of infinite scalability, elastic pricing, and relief from the "burden" of managing physical hardware. However, for organizations running true mission-critical workloads a dogmatic cloud-only strategy is often a recipe for failure. You know what type of mission-critical workloads I mean, right?...

In the rush to modernize IT infrastructure, “cloud-only” has become a popular mantra for CIOs looking to simplify operations and reduce capital expenditure. The allure is understandable…

05/07/2026

Schema-on-Read Is Not a Governance Strategy

For years, organizations struggled with the rigidity of traditional data management. Building structured databases required planning, modeling, and governance before data could be effectively used. Data warehouses demanded careful schema design, transformation logic, and operational discipline. Then came the rise of big data platforms and data lakes. The promise was appealing: collect everything now and determine its structure later. Instead of forcing data into predefined schemas during ingestion, organizations could simply store raw data and apply structure only when reading or analyzing it....

For years, organizations struggled with the rigidity of traditional data management. Building structured databases required planning, modeling, and governance before data could be effectively used.…

04/16/2026

The Data Catalyst³ (Cubed) by Robert S. Seiner

The Data Catalyst³ (Cubed) by Robert S. Seiner is a timely and transformative read for anyone serious about making data governance work in the real world. Seiner argues that Data Governance, change management, and data fluency are not competing disciplines. Instead, they are complementary forces that, when combined, create exponential organizational impact. The book's core idea is captured in its title: the "cubed" concept represents the multiplicative power of governance × change management × data fluency, enabling organizations to build alignment, eliminate friction, and sustain momentum as technology rapidly evolves....

The Data Catalyst³ (Cubed) by Robert S. Seiner is a timely and transformative read for anyone serious about making data governance work in the real world. Seiner argues that Data Governance, change…

03/12/2026

Strategies for Improving Database Schema for AI

Your database schema and metadata can be a big barrier to successfully adopting AI. Sure, we all have heard about data quality and its impact on AI decision-making. The old GIGO (Gargage In, Garbage Out) argument... and that is undeniably true. But what about when AI has to try to figure things out without much help from your database schema....

Your database schema and metadata can be a big barrier to successfully adopting AI. Sure, we all have heard about data quality and its impact on AI decision-making. The old GIGO (Gargage In, Garbag…

02/17/2026

The Potential Impact of Quantum Computing: What Data Technology Professionals Should Know

Quantum computing is rapidly moving from research labs toward practical impact, promising to transform how we approach some of the hardest problems in computing and data-intensive industries. While quantum-native systems are still in their infancy, advances in algorithm design, hardware scaling, and hybrid classical/quantum architectures may one day reshape optimization, security, analytics, and how we think about computation itself. Before that future arrives, it’s important for technology professionals to understand both the promise and the limitations of quantum computing so they can prepare strategically rather than reactively....

Quantum computing is rapidly moving from research labs toward practical impact, promising to transform how we approach some of the hardest problems in computing and data-intensive industries. While…

02/02/2026

01/29/2026

It is time to make plans to attend my upcoming webinar...

Overcoming Data Gravity: Moving Mainframe Data to Multi-Platform Environments

Click the link to learn more and register to attend!

256b5591-3788-4a47-9dee-c07b80976b75@919fb5b8-9921-454f-a14e-bfa792993544" rel="ugc" target="_blank">https://events.teams.microsoft.com/event/256b5591-3788-4a47-9dee-c07b80976b75@919fb5b8-9921-454f-a14e-bfa792993544

01/25/2026

AI, Analytics, and the Cost of Ignoring Database Performance Engineering

Enterprises today are investing heavily in analytics platforms, data lakes, and artificial intelligence initiatives. Cloud scalability, modern tooling, and machine learning frameworks are often portrayed as silver bullets that will finally unlock the value buried in corporate data. Yet despite these...

11/04/2025

For those of us who’ve worked with data long enough, some universal truths emerge. One of these is that technology may change, but the challenges around data never really go away. They simply take on new forms. Every few years, a new wave of innovation promises to “revolutionize” how we work with data. In the 1980s, it was relational database systems....

For those of us who’ve worked with data long enough, some universal truths emerge. One of these is that technology may change, but the challenges around data never really go away. They simply take …