Alation

JANUARY 13, 2022

Spoiler alert: data fabric and data mesh are independent design concepts that are, in fact, quite complementary. Data fabric has captured most of the limelight; it focuses on the technologies required to support metadata-driven use cases across hybrid and multi-cloud environments. Gartner on Data Fabric.

Data Lake 59

Data Lake Metadata Data-driven Data Governance 59

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

NOVEMBER 5, 2019

Is your data going somewhere? No, we’re not talking about databases going AWOL or data warehouses getting a little R&R at the beach. We’re talking about migrations from one system to another, or combining data from different systems into a single system or warehouse. Data Dictionaries.

Machine Learning 44

Machine Learning Metadata Data Governance Data Warehouse 44

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

Octopai

JULY 17, 2019

Well, that’s the problem – BI teams today tend to have to map out data lineage manually since they are usually dealing with multi-vendor environments. And if not impossible, then you can bet it’ll take the data analysts a LONG time to figure out. Data lineage visualization is an overview and a journey map of our data.

Metadata 53

Metadata Visualization Reporting Finance 53

Alation

FEBRUARY 13, 2020

Gartner: Magic Quadrant for Metadata Management Solutions. Magic Quadrant for Metadata Management Solutions 4 based on its ability to execute and completeness of vision. Today, metadata management has become a critical business driver as data leaders seek to govern and maximize the value from the influx of data at their disposal.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Andrew White

JANUARY 11, 2021

See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Do you agree?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52