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The Race For Data Quality in a Medallion Architecture

DataKitchen

The Race For Data Quality In A Medallion Architecture The Medallion architecture pattern is gaining traction among data teams. It is a layered approach to managing and transforming data. By systematically moving data through these layers, the Medallion architecture enhances the data structure in a data lakehouse environment.

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Does Data Always Need to End Up in a Centralized Repository?

Data Virtualization

As far back as 2011 Gartner proposed the concept of a logical data warehouse as a way to overcome some of the challenges organizations. The post Does Data Always Need to End Up in a Centralized Repository?

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. In response to this increasing need for data analytics, business intelligence software has flooded the market. Table of Contents. 2) BI Strategy Benefits.

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From Disparate Data to Visualized Knowledge Part II: Scaling on Both Ends

Ontotext

In our previous blog post of the series, we covered how to ingest data from different sources into GraphDB , validate it and infer new knowledge from the extant facts. Today we’ll deal with the big issue of scaling, tackling it on two sides: what happens when you have more and faster sources of data? There are two ways to handle this.

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Improving Multi-tenancy with Virtual Private Clusters

Cloudera

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants.

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A Simple Data Capability Framework

Peter James Thomas

As part of my consulting business , I end up thinking about Data Capability Frameworks quite a bit. Sometimes this is when I am assessing current Data Capabilities, sometimes it is when I am thinking about how to transition to future Data Capabilities. Collation of Data to provide Information. Introduction.

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How CURO Financial Technologies Successfully Integrated Data Sources After a Major Merger

Alation

After its 2021 acquisition of Heights Finance Corporation, CURO needed to catalog and tag its legacy data while integrating Heights’ data — quickly. Bringing together companies — and their data Alation: For you guys in data, it sounds like the acquisition was the easy part. CURO Financial Technologies Corp.