erwin

OCTOBER 31, 2019

In fact, we’ve seen some frightening ones play out already: Google’s record GDPR fine – France’s data privacy enforcement agency hit the tech giant with a $57 million penalty in early 2019 – more than 80 times the steepest fine the U.K.’s So being prepared means you can minimize your risk exposure and the damage to your reputation.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

Cloudera

SEPTEMBER 15, 2022

Mark: The first element in the process is the link between the source data and the entry point into the data platform. At Ramsey International (RI), we refer to that layer in the architecture as the foundation, but others call it a staging area, raw zone, or even a source data lake. What is a data mesh?

Data Lake 81

Data Lake Data Architecture Data-driven Data Warehouse 81

Alation

JUNE 7, 2023

As these issues continue to swirl, many business leaders will suggest pulling back, waiting to see what happens, and minimizing exposure to risk. A restaurant experience of 2019 is much different than one today. In addition to an AWS S3 Data Lake and Snowflake Data Cloud, ARC also chose Alation Data Catalog.

Uncertainty 52

Uncertainty Data Lake Risk Data-driven 52

Cloudera

AUGUST 4, 2021

This is essential to delivering data-driven insights. Factors such as siloed platforms and the absence of centralized data stewardship all regularly contribute to a lack of data visibility. . Availability: Make the right data available only to the right users.

Data Governance 85

Data Governance Metadata Data-driven Enterprise 85

Cloudera

JANUARY 22, 2019

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Domino Data Lab

APRIL 3, 2019

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. in lieu of simply landing in a data lake.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

AUGUST 8, 2019

Sci Foo 2019. I mention this here because there was a lot of overlap between current industry data governance needs and what the scientific community is working toward for scholarly infrastructure. The gist is, leveraging metadata about research datasets, projects, publications, etc., To wit: data science is a team sport.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71