Dataversity

FEBRUARY 25, 2022

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting Data Governance” because I firmly believe that […]. The post Dear Laura: What Role Should Leadership Play in Data Governance?

Data Governance 52

Data Governance Data Quality Cloud Data Analytics 52

Alation

NOVEMBER 15, 2021

The Data Management Capability Assessment Method (DCAM) framework is used to pressure-test data management procedures and demonstrate good practices to regulators. The working group produced a new Cloud Data Management Framework for sensitive data, which was announced earlier this month.

Cloud Data 52

Cloud Data Tableau Azure Analytics 52

Dataconomy

SEPTEMBER 4, 2023

It’s crucial to be aware of these potential downsides to make the most of your cloud analytics journey: Security concerns : While cloud providers invest heavily in security, breaches can still occur. Organizations must diligently manage access controls, encryption, and data protection to mitigate risks.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Data Science Blog

NOVEMBER 15, 2023

van der Aalst 2019 and as a product feature term by Celonis in 2022 and is used extensively in marketing, this concept is far from new in its implementation. They offer consistency and standardization across data structures, improving data accuracy and integrity.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Alation

DECEMBER 15, 2022

May 2019: Inc Magazine names Alation a Best Workplace of 2019. June 2019: Dresner Advisory Services names Alation the #1 data catalog in its Data Catalog End-User Market Study for the 3rd time. July 2019: Alation hits 100 customers. June 2021: Snowflake names Alation its Data Governance Partner of the Year.

Data Governance 52

Data Governance Data Quality Data Warehouse Data Scientist 52

Alation

FEBRUARY 8, 2022

In contrast to this common, centralized approach, a data mesh architecture calls for responsibilities to be distributed to the people closest to the data. Making the experts responsible for service streamlines the data-request pipeline, delivering higher quality data into the hands of those who need it more rapidly.

Data Governance 52

Data Governance Data Engineering Data Engineering Data Engineer 52