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Tag: DataOps


BI Categories, Data Mining

What is DataOps? Collaborative, cross-functional analytics

December 22, 2022

Via: CIO

What is DataOps? DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. […]


BI Categories, Data Mining

How Data Reliability Engineering Can Solve Today’s Data Challenges

July 1, 2022

Via: DATAVERSITY

A 20-year-old article from MIT Technology Review tells us that good software “is usable, reliable, defect-free, cost-effective, and maintainable. And software now is none of those things.” Today, most businesses would beg to differ. From payments to CRM to analytics […]


BI Categories, Data Mining

Implementing Data Strategy Across the Data Lifecycle

October 12, 2021

Via: DATAVERSITY

Organizations wishing to implement a Data Strategy—a set of decisions that form a pattern, charting a high-level course of action—face significant challenges in unifying their message across the data lifecycle. Only 30% of companies have a clear organizational Data Strategy, […]


BI Categories, Data Mining

DataOps Highlights the Need for Automated ETL Testing (Part 1)

August 30, 2021

Via: DATAVERSITY

DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. ETL projects are increasingly based on agile processes and automated testing. ETL (i.e., extract, transform, load) […]


BI Categories, Data Mining

The Move to Public Cloud and an Intelligent Data Strategy

March 29, 2021

Via: DATAVERSITY

It has taken a global pandemic for organizations to finally realize that the old way of doing businesses – and the legacy technologies and processes that came with it – are no longer going to cut it. This is especially […]


BI Categories, Business Analysis

What is DataOps? Collaborative, cross-functional analytics

November 30, 2020

Via: CIO

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes and organizational structures to support the data-focused enterprise. Michele Goetz, vice […]