Maxime Beauchemin

JANUARY 20, 2017

Data modeling is changing Typical data modeling techniques — like the star schema  — which defined our approach to data modeling for the analytics workloads typically associated with data warehouses, are less relevant than they once were.

Data Engineer 130

Data Engineer Data Engineering Engineering ETL Tools 130

Data Engineering Weekly

AUGUST 25, 2024

It then passes through various ranking systems like Mustang, Superroot, and NavBoost, which refine the results to the top 10 based on factors like content quality, user behavior, and link analysis. The author writes an overview of the performance implication of disaggregated systems compared to traditional monolithic databases.

Data Engineer 70

Data Engineer Data Engineering Engineering Database-centric 70

DataKitchen

NOVEMBER 4, 2021

It’s too hard to change our IT data product. Can we create high-quality data in an “answer-ready” format that can address many scenarios, all with minimal keyboarding? . “I I get cut off at the knees from a data perspective, and I am getting handed a sandwich of sorts and not a good one!”.

Process 98

Process Data Process Pharmaceutical Data Lake 98

Precisely

JULY 18, 2024

A data fabric offers several key benefits that transform your data management: Accelerates analytics and decision-making processes by enhancing data accessibility through seamless data integration and retrieval across diverse environments. Can a data fabric architecture help you achieve your business goals?

Data Management 52

Data Management Management Metadata Database-centric 52

DareData

JULY 29, 2020

One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". Furthermore, clean and accessible data, along with data driven automations, can assist medical professionals in taking this patient-centric approach by freeing them from some time-consuming processes.

Data Pipeline 52

Data Pipeline Healthcare Medical Pipeline-centric 52

Ascend.io

JUNE 8, 2023

Treating data as a product is more than a concept; it’s a paradigm shift that can significantly elevate the value that business intelligence and data-centric decision-making have on the business. It is the stage where data truly becomes a product, delivering tangible value to its end users.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52