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Data: The Beating Heart Of Healthcare
  • August 4, 2021

Data: the Beating Heart of Healthcare

Data: the Beating Heart of Healthcare Payers, health plans, and integrated health systems run on data. Integration, processing, and analytics are integral to their business process and managing of costs and risk. The role of payers in the healthcare industry has been expanding for years. As care models have shifted from fee-for-service to coordinated…

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It’s Time For Data Historians To Become … History
  • July 17, 2021

It’s Time for Data Historians to Become … History

Database Historians...History? Why a modern time-series capable database can simplify yet enhance time-series data analysis. Despite the professorial image the term suggests, a data historian is not an instructor or researcher, but a purpose-build software solution. And evolutions in how operational data is used and managed have eclipsed the need for data historian software…

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What Is The Difference Between A Data Analytics Hub And A Lakehouse?
  • March 25, 2021

What is the Difference Between a Data Analytics Hub and a Lakehouse?

In the opening installment of this blog series—Data Lakes, Data Warehouses and Data Hubs: Do we need another choice? I explore why simply migrating these on-prem data integration, management, and analytics platforms to the Cloud does not fully address modern data analytics needs. In comparing these three platforms, it becomes clear that all of…

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What Is A Data Analytics Hub?
  • February 25, 2021

What is a Data Analytics Hub?

What is a Data Analytics Hub? And why is it better than a Data Lake or an Analytics Hub? In the opening installment of this blog series—Data Lakes, Data Warehouses and Data Hubs: Do we need another choice?  I explore why simply migrating these on-prem data integration, management, and analytics platforms to the Cloud…

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Data Lakes, Data Warehouses And Data Hubs – Do We Need Another Choice?
  • February 17, 2021

Data Lakes, Data Warehouses and Data Hubs – Do we need another choice?

Data Lakes, Data Warehouses, and Data Hubs - Do we need another choice? There’s a long-standing debate, dating back to the early days of Hadoop, about what kind of data repository is best for a given data analytics use case. A Data Lake? A Data Hub? A Data Warehouse? Despite Hadoop’s fall from grace,…

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Delivering Real-time Customer 360 Insights Faster And Easier In Challenging Times
  • January 11, 2021

Delivering real-time Customer 360 insights faster and easier in challenging times

A long time ago (read: before the COVID-19 pandemic started), companies around the world were interested in developing a full 360-degree view of their customers. The importance of creating a tailored, data-enhanced customer experience was understood, but formidable challenges—the fact that the data comprising an individual customer profile resides in so many disparate systems,…

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Our 2020 Cloud Data Migration Survey Results Are In
  • November 12, 2020

Our 2020 Cloud Data Migration Survey Results are in

Why is this study different? OK, so that’s like saying the sky is blue on a clear sunny day, right?  Actually, it’s cloudier than that – pun intended!  If you talk to Cloud vendors, everything is moving to the cloud and has been for over a decade, so the glass is half full.  If…

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A Two-Part Approach To Track & Trace In Urban And Suburban Settings
  • September 25, 2020

A Two-Part Approach to Track & Trace in Urban and Suburban Settings

As businesses work to reopen and students return, in-person, to schools nationwide, track and trace is a critical component to mitigate potential resurgences in COVID-19 cases. The more densely populated a city, the harder track and trace will be. However, getting urban and suburban areas moving again is critical to jumpstarting the US economy.…

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SQLite: Not Faster, Not Better, But Cheaper?
  • July 2, 2020

SQLite: Not Faster, Not Better, But Cheaper?

Understanding SQLite’s Total Cost of Ownership (TCO) Over the past three months this blog series has explored why developers gravitated toward SQLite for embedded data management. Some developers chose SQLite because members of the extended team knew SQL and wanted to leverage that knowledge to support data management or the extraction of data for…

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SQLite’s Serverless Architecture Doesn’t Serve IoT Environments Well
  • June 17, 2020

SQLite’s Serverless Architecture Doesn’t Serve IoT Environments Well

Part Three: SQLite, the “Flat File” of Databases Over the past few articles, our SQLite Blog series has been looking at SQLite Serverless Architecture and how it is unsuitable for IoT Environments. Those of you who have been following can jump ahead to the next section, but if you’re new to this discussion, you…

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SQLite’s Serverless Architecture Doesn’t Serve IoT Environments Well Part Two
  • June 11, 2020

SQLite’s Serverless Architecture Doesn’t Serve IoT Environments Well Part Two

Part Two: Rethinking What Client-Server Means for Edge Data Management Over the past few weeks our SQLite Blog series has considered the performance deficiencies of SQLite when handling local persistent data and looked at the performance complications created by the need for ETL when sharing SQLite data with back-end databases. In our last installment—Mobile…

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Real-Time Decision-Making Use Cases In The Retail Industry – Part 3
  • May 26, 2020

Real-Time Decision-Making Use Cases in the Retail Industry – Part 3

In the first part of my blog on Real-Time Decision-Making (RTDM) highlighting Retail industry use cases, we discussed how combining existing historical data patterns with disparate new sources of data completes the Common Operational Picture (COP).  To illustrate the use-case, we used an Actian customer, Kiabi, and how they used RTDM strategic capabilities to…

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SQLite Equals ETL Heavy
  • May 18, 2020

SQLite Equals ETL Heavy

Two weeks ago, I likened the performance of SQLite to that of a Banana Slug. Now, some may consider that a bit of hyperbole (and some UC Santa Cruz alumni may feel that I impugned the good name of their mascot, which was not my intent) but the numbers don’t lie. The measurable difference…

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Real-Time Decision-Making Use Cases In The Retail Industry – Part 2
  • May 18, 2020

Real-Time Decision-Making Use Cases in the Retail Industry – Part 2

In my last blog on Real-Time Decision-Making (RTDM), I shifted from a theoretical discussion of what RTDM is to uses cases that highlight key aspects of the value it can bring to business in periods of market uncertainty. I'm using the Retail Industry because its an Industry everyone knows something about coupled with the…

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Real-Time Decision-Making Use Cases In The Retail Industry
  • May 14, 2020

Real-Time Decision-Making Use Cases in the Retail Industry

In the last blog on Real-Time Decision-Making (RTDM), we discussed exactly what it is and why it matters.  Before proceeding with more theoretical discussions, though, it’s probably worthwhile to give you some practical examples of RTDM and how data management, integration, and analytics support, build RTDM strategic capabilities that significantly impact business operations. Retail:…

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