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Making the Case for Data Enablement (Rather Than Data Governance)

TDAN

There is a movement in the business and academic worlds to consider relabeling the name of the long-time data discipline of “Data Governance” to “Data Enablement”. Usually, when someone tells me something like this, my first response is to chuckle and nod my head.

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The Failed Promises of Digital Transformation and What to Do About It

Ontotext

It’s all about connections and relationships in data. Traditionally, data are stored in rows and columns and tables, like spreadsheets. Aggregating data, sorting, and filtering are a cinch. Click To Tweet What Are Graph Technologies And Why Should C-level Executives Care? But it’s hit or miss.

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How Big Data Is Influencing Web Design and What You Can Learn from It

Smart Data Collective

Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data? Big data can be defined as the large volume of structured or unstructured data that requires processing and analytics beyond traditional methods.

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Data Teams and Their Types of Data Journeys

DataKitchen

This comprehensive article delves into the complexities encountered by various types of data teams—Data Ingestion Teams, End-to-End Data Product Teams, and Enterprise Data Enablement Teams—to name a few. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

Why is it that Google, a company once known for its distinctive “Do no evil” guideline, is now facing the same charges of “surveillance capitalism” as Facebook, a company that never made such claims? Why is it now subject to the same kind of antitrust complaints faced by Microsoft, once the “evil empire” of the previous generation of computing?

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A Data Prediction for 2025

DataKitchen

DataOps Automation (Orchestration, Environment Management, Deployment Automation) DataOps Observability (Monitoring, Test Automation) Data Governance (Catalogs, Lineage, Stewardship) Data Privacy (Access and Compliance) Data Team Management (Projects, Tickets, Documentation, Value Stream Management) What are the drivers of this consolidation?

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

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