erwin
NOVEMBER 6, 2019
erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. And this time, you guessed it – we’re focusing on data automation and how it could impact metadata management and data governance. Can the 80/20 Rule Be Reversed?
O'Reilly on Data
JANUARY 29, 2019
In 2018, we decided to run a follow-up survey to determine whether companies’ machine learning (ML) and AI initiatives are sustainable—the results of which are in our recently published report, “ Evolving Data Infrastructure.”. We found companies were planning to use deep learning over the next 12-18 months.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
erwin
JANUARY 17, 2020
Data models provide visualization, create additional metadata and standardize data design across the enterprise. Thanks to organizations like Amazon, Netflix and Uber, businesses have changed how they leverage their data and are transforming their business models to innovate – or risk becoming obsolete. SQL or NoSQL?
CIO Business Intelligence
APRIL 28, 2023
To ensure data sovereignty, rules may require that all related data, such as metadata, also resides locally. The 2018 US Cloyd Act allows US federal law enforcement to compel US-based technology companies to provide requested data stored on company servers, regardless of whether the data is stored in the US or on foreign soil.
Octopai
JANUARY 25, 2021
The cost of data breaches in 2019 was 87% higher than in 2018 , with the number rising each year. This is especially helpful for healthcare providers using multiple business intelligence (BI) systems. This initiative is enforced to set standards for data governance in healthcare and keep medical information safe.
Domino Data Lab
APRIL 3, 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. So this month let’s explore these themes: 2018 represented a flashpoint for DG fails, prompting headlines worldwide and resulting in much-renewed interest in the field.
Domino Data Lab
JULY 2, 2019
In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].
Expert insights. Personalized for you.
102 
Let's personalize your content