erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. Metadata Is the Heart of Data Intelligence.

Metadata 104

Metadata Management Data-driven Data Architecture 104

erwin

NOVEMBER 14, 2019

Data governance tools used to occupy a niche in an organization’s tech stack, but those days are gone. The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. Data Governance Tools for Regulatory Compliance.

Data Governance 105

Data Governance Cost-Benefit Data-driven Metadata 105

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But are these rampant and often uncontrolled projects to collect metadata properly motivated? What Is Metadata?

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy. But it’s still not easy.

Data Governance 85

Data Governance Metadata Data-driven Enterprise 85

erwin

NOVEMBER 14, 2019

Data governance tools used to occupy a niche in an organization’s tech stack, but those days are gone. The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. Data Governance Tools for Regulatory Compliance.

Data Governance 40

Data Governance Cost-Benefit Data-driven Metadata 40

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

O'Reilly on Data

MAY 21, 2019

You also need solutions that let you understand what data you have and who can access it. About a third of the respondents in the survey indicated they are interested in data governance systems and data catalogs. Sometime in Q3/Q4 of 2019, specialized hardware for training deep learning models will become available.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. Program Synthesis 101 ” – Alexander Vidiborskiy (2019-01-20). Model-Driven Data Queries.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Octopai

JANUARY 25, 2021

Healthcare data contains all of your personal information in one, easy-to-find file, which is why it’s the most targeted industry for cyberattacks. The cost of data breaches in 2019 was 87% higher than in 2018 , with the number rising each year. million Americans experiencing compromised personal data in 2019, compliance is key.

Insurance 52

Insurance Metadata Statistics Reporting 52

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. To find the opportunities within its data, Vattenfall chose Alation Data Catalog.

Uncertainty 52

Uncertainty Data Lake Risk Data-driven 52

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

SEPTEMBER 15, 2022

As shown above, the data fabric provides the data services from the source data through to the delivery of data products, aligning well with the first and second elements of the modern data platform architecture. What is a data mesh? How does it compare to data fabric? See below. .

Data Lake 81

Data Lake Data Architecture Data-driven Data Warehouse 81

Domino Data Lab

AUGUST 8, 2019

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. Sci Foo 2019.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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-driven Metadata Enterprise 52

Alation

FEBRUARY 20, 2020

Today, the scope of the CDO is shifting toward empowering data-driven organizations. Gartner notes that most industries already have CDOs, and predicts that by 2019, 90% of large organizations will have hired a chief data officer. A core piece in that strategy is our integrated self-service data analytics platform.

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52

Andrew White

JANUARY 11, 2021

But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Additionally, the value of data may change, and our own personal judgement of the the same data and its value may differ. Governance. Would really like to explore this one in debate.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52