DataKitchen

MARCH 20, 2025

Unlocking Data Team Success: Are You Process-Centric or Data-Centric? Over the years of working with data analytics teams in large and small companies, we have been fortunate enough to observe hundreds of companies. We’ve identified two distinct types of data teams: process-centric and data-centric.

Pipeline-centric 65

Pipeline-centric Database-centric Process Data 65

DataKitchen

NOVEMBER 4, 2021

The typical pharmaceutical organization faces many challenges which slow down the data team: Raw, barely integrated data sets require engineers to perform manual , repetitive, error-prone work to create analyst-ready data sets. Cloud computing has made it much easier to integrate data sets, but that’s only the beginning.

Process 98

Process Data Process Pharmaceutical Data Lake 98

Monte Carlo

JANUARY 21, 2025

Who Attends Expect to meet a diverse crowd: top-level executives, seasoned data scientists, technology vendors, and rising innovators. Key Themes Data-Driven Decision-Making : Learn how to build a data-centric culture that drives better outcomes. Its a unique blend of business and technical expertise under one roof.

Data Analytics 52

Data Analytics Pipeline-centric Food Data Lake 52

Maxime Beauchemin

JANUARY 20, 2017

The fact that ETL tools evolved to expose graphical interfaces seems like a detour in the history of data processing, and would certainly make for an interesting blog post of its own. Sure, there’s a need to abstract the complexity of data processing, computation and storage.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

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. Data pipelines Data integrity Data lineage Data stewardship Data catalog Data product costing Let’s review each one in detail.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Ripple Engineering

JANUARY 29, 2024

  A lack of a centralized system makes building a single source of high-quality data difficult. The key aspect of any business-centric team in delivering products and features is to make critical decisions on ensuring low latency, high throughput, cost-effective storage, and highly efficient infrastructure.

Database-centric 52

Database-centric Pipeline-centric NoSQL High Quality Data 52