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Secrets of Data Analytics Leaders

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time g

Episodes

Total: 261

The data mesh is an attempt by software engineers to remake the data industry in their image. There

Data Stewardship Experience strategies (personal growth, community, societal contribution, and disru

Decision AI is an emerging discipline that enables faster, smarter operational decisions by combinin

This audio blog, the third and final in a series, recommends five guiding principles for success. Pu

Consider key trends and challenges as you design an effective organizational architecture for data g

At Summit 2022, Snowflake paints a picture of a utopian data future where all data is treated equall

Providing analysts with tools that increase their efficiency is critical to helping them do more wor

This blog recommends criteria for enterprises to evaluate cloud connectors and ensure the benefits o

Machine learning models help respond to the time-based value and risks of business events. To achiev

Enterprise data teams embrace DataOps to achieve new levels of efficiency and effectiveness in deliv

As we share data, we create data webs. If we allow copies of our data to proliferate throughout thes

Treating data assets as products helps businesses increase internal data consumption and become more

It’s tempting to dismiss observability as another overused buzzword. But this emerging discipline of

An analytics center of excellence is the cornerstone of every data strategy, yet few data leaders kn

Companies are investing in new solutions—such as data fabric, data access governance, and data obser

Data engineers are often responsible for numerous types of data tests: unit tests, integration/compo

Data integration, governance, and consumption play a pivotal role in the machine learning lifecycle.

Data architecture-as-a-service or DAaaS is a metadata-driven approach that injects SQL guardrails in

Today’s data architecture discussions are heavily biased toward managing data for analytics, with at

This audio blog, the first in a series, presents the fundamentals of location intelligence. It will