Jet Global

OCTOBER 7, 2020

In the future, customers will be able to deploy Data Entities and replicate transactional tables in an Azure Data Lake. Technical skills required : Creating and managing data entities requires fairly deep technical skills that can be scarce and costly. Microsoft is currently developing this capability.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Domino Data Lab

APRIL 3, 2019

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. How did the challenges and opportunities related to security, data management, and system architecture get braided together throughout the past ~6 decades of IT?

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

NOVEMBER 4, 2022

MetaBio, which received a 2022 CIO 100 Award , provides a single source for datasets in a unified format, enabling researchers to quickly extract information about various therapeutic functions without having to worry about how to prepare or find the data. Much of Regeneron’s data, of course, is confidential.

Data Lake 110

Data Lake IT Experimentation Data-driven 110

DataKitchen

DECEMBER 7, 2021

In the book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today’s organizations. A distributed data mesh is a better choice. The book will be available from O’Reilly Media here.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Alation

JANUARY 13, 2022

Thoughtworks says data mesh is key to moving beyond a monolithic data lake. Spoiler alert: data fabric and data mesh are independent design concepts that are, in fact, quite complementary. Thoughtworks says data mesh is key to moving beyond a monolithic data lake 2. Gartner on Data Fabric.

Data Lake 59

Data Lake Metadata Data-driven Data Governance 59

CIO Business Intelligence

MARCH 22, 2022

Which type(s) of storage consolidation you use depends on the data you generate and collect. . One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Consider deploying analytics-as-a-service .

Analytics 98

Analytics Key Performance Indicator Data Warehouse Data-driven 98

Birst BI

JANUARY 23, 2018

Data semantics are everything. Many IT and data management professionals posit that a single central data repository, such as a large cloud data warehouse or a data lake, is the definitive “single version of the truth.” That’s the point in the conversation where the metaphorical gloves come off.

Data Warehouse 50

Data Warehouse Data Governance Data Lake Enterprise 50