new-data-architectures-are-too-data-store-centric 
Data Virtualization
FEBRUARY 28, 2020
Too often the design of new data architectures is based on old principles: they are still very data-store-centric. They consist of many physical data stores in which data is stored repeatedly and redundantly. Over time, new types of data stores,
O'Reilly on Data
APRIL 23, 2024
Why is it that Amazon, which has positioned itself as “the most customer-centric company on the planet,” now lards its search results with advertisements, placing them ahead of the customer-centric results chosen by the company’s organic search algorithms, which prioritize a combination of low price, high customer ratings, and other similar factors?
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CIO Business Intelligence
NOVEMBER 22, 2022
Digital transformation initiatives have picked up in the retail sector in recent years as store chains compete for brand awareness and sales in a rapidly evolving market. I’m also impressed with their willingness to integrate new technologies in their businesses. Are they successfully untangling their “spaghetti architectures”?
DataKitchen
NOVEMBER 4, 2021
Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.
Laminar Security
MARCH 30, 2023
Cloud transformation and data democratization provide a number of benefits to organizations, but these same technologies and trends are also introducing the greatest risks. We are in the midst of cloud data’s Gilded Age.
Ontotext
APRIL 3, 2024
Joseph Hilger : People are starting to understand that knowledge graphs are not just a tool for storing data and information. I need something that defines what those entities are and can align them with the data.” The other use case where graphs are exploding is what Gartner calls a data fabric. A graph can do that.
O'Reilly on Data
OCTOBER 19, 2021
As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. The new category is often called MLOps. Just introducing a new term like MLOps doesn’t solve anything by itself, rather, it just adds to the confusion.
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