List: DataFabric / DataMesh | Curated by Wilfried Hoge

Jun 24, 2024

23 stories

DataFabric / DataMesh
Vishal Purandare
Data protection with Data source definition assets in IBM Cloud Pak for DataBy Vishal Purandare and Rob Jackson-Jones
Jun 18, 2024
Jun 18, 2024
In
IBM Data Science in Practice
by
Namit Kabra
Enhancing Data Fabric with SQL Asset Type in IBM Knowledge CatalogIn the era of digital transformation, organizations are increasingly relying on the power of artificial intelligence (AI) to unlock…
Apr 26, 2024
Apr 26, 2024
In
Cloud Pak for Data
by
Sachin Prasad
Introducing Cloud Pak for Data 4.8Sachin Prasad
Program Director, Product Management 
Cloud Pak for Data, Data and AI @IBM
Nov 29, 2023
1
Nov 29, 2023
1
Shashank Sabhlok
What’s new in IBM AI Governance with Cloud Pak for Data 4.7This post has been co-authored by Shashank Sabhlok (Product Manager — AI Factsheets) and Siddhi Gowaikar (Product Manager — OpenScale)…
Aug 8, 2023
1
Aug 8, 2023
1
In
Cloud Pak for Data
by
Sachin Prasad
Winter is Coming — Expect “SNO(w)” (Single Node Openshift)Sachin Prasad, Cloud Pak for Data Chief Product Manager, IBM 
Claus Huempel, Technical Sales Specialist, Cloud Pak for Data, IBM
May 10, 2023
May 10, 2023
In
Cloud Pak for Data
by
Sachin Prasad
Cloud Pak for Data v4.6Holidays are right around the corner and most of us working hard to start the season on a good note and end the year with accomplishments.
Dec 1, 2022
1
Dec 1, 2022
1
In
Geek Culture
by
Christianlauer
Data Warehouse vs. Data Lake vs. Data FabricWhat is what and how do they differ from each other?
Nov 14, 2022
Nov 14, 2022
In
IBM Data Science in Practice
by
Rakshith Dasenahalli Lingaraju
Concurrent load testing for ML models deployed in Cloud Pak using LocustBefore enterprises decide to productionalize a Machine Learning model and make it available for online consumption, the model undergoes…
Oct 3, 2022
Oct 3, 2022
In
IBM Data Science in Practice
by
Rakshith Dasenahalli Lingaraju
Machine learning model replacement in complex and agile micro services architecturesThis article provides an insider view on managing complex ML model deployments from the lens of operational excellence, challenges and…
Oct 3, 2022
Oct 3, 2022
In
IBM Data Science in Practice
by
Rakshith Dasenahalli Lingaraju
Rapid scaling and deployment of machine learning models in mission critical systemsOne of the main issues in MLOps(machine learning operations) is how to manage and maintain various KPIs of productionized ML model (API)…
Oct 3, 2022
Oct 3, 2022
In
The PayPal Technology Blog
by
Jean-Georges Perrin
The next generation of Data Platforms is the Data MeshHere’s why.
Aug 3, 2022
16
Aug 3, 2022
16
Angelo Martelli
17 technology choices to enable and boost your Data Mesh strategy.How can you approach Data Mesh from a tech perspective?
Sep 18, 2022
1
Sep 18, 2022
1
guptaneeru
How to exchange metadata between WKC and other metadata repositories using Egeria.In my last post, I talked about how we leveraged Egeria’s Open Metadata Repository Services (OMRS) to modernize our data catalog and assist…
Oct 14, 2021
Oct 14, 2021
guptaneeru
Data Sovereignty in Watson Knowledge CatalogWhy Locations: As more and more personal data goes online, the data protection rules are becoming stringent. The governments are enacting…
Apr 27, 2022
Apr 27, 2022
guptaneeru
Data Sovereignty Rules In WKCIn the previous post, we learned how to manage and assign locations in the Watson Knowledge Catalog. Once assets are assigned locations…
May 23, 2022
May 23, 2022
In
fybrik
by
Eliot Salant
Using Fybrik to create a privacy-aware framework to access FHIR dataAs the COVID-19 pandemic has shown, the ability to exchange healthcare data, both for research and for patient care, is critical. In fact…
Apr 14, 2022
Apr 14, 2022
In
fybrik
by
Sima Nadler
Fybrik Modules: How to Leverage External ProjectsCo-Authored by Doron Chen and Sima Nadler
Apr 12, 2022
Apr 12, 2022
In
fybrik
by
Sima Nadler
How ING and IBM are collaborating to manage enterprise data across multiple cloudsCo-authored with Cong Chen and Mike Nicpan, ING
Jun 22, 2021
Jun 22, 2021
In
Cloud Pak for Data
by
Sachin Prasad
Experience Data Fabric on Cloud Pak for DataYou may be wondering, “what is a data fabric”? A data fabric is an architectural approach to simplify data access in an organization to…
Mar 18, 2022
Mar 18, 2022
Anitha Jagadeesh
Create Data products Solutions with Data fabric or Data meshData product
Feb 1, 2022
Feb 1, 2022

DataFabric / DataMesh

Data protection with Data source definition assets in IBM Cloud Pak for Data

By Vishal Purandare and Rob Jackson-Jones

Enhancing Data Fabric with SQL Asset Type in IBM Knowledge Catalog

In the era of digital transformation, organizations are increasingly relying on the power of artificial intelligence (AI) to unlock…

Introducing Cloud Pak for Data 4.8

Sachin Prasad Program Director, Product Management Cloud Pak for Data, Data and AI @IBM

What’s new in IBM AI Governance with Cloud Pak for Data 4.7

This post has been co-authored by Shashank Sabhlok (Product Manager — AI Factsheets) and Siddhi Gowaikar (Product Manager — OpenScale)…

Winter is Coming — Expect “SNO(w)” (Single Node Openshift)

Sachin Prasad, Cloud Pak for Data Chief Product Manager, IBM Claus Huempel, Technical Sales Specialist, Cloud Pak for Data, IBM

Cloud Pak for Data v4.6

Holidays are right around the corner and most of us working hard to start the season on a good note and end the year with accomplishments.

Data Warehouse vs. Data Lake vs. Data Fabric

What is what and how do they differ from each other?

Concurrent load testing for ML models deployed in Cloud Pak using Locust

Before enterprises decide to productionalize a Machine Learning model and make it available for online consumption, the model undergoes…

Machine learning model replacement in complex and agile micro services architectures

This article provides an insider view on managing complex ML model deployments from the lens of operational excellence, challenges and…

Rapid scaling and deployment of machine learning models in mission critical systems

One of the main issues in MLOps(machine learning operations) is how to manage and maintain various KPIs of productionized ML model (API)…

The next generation of Data Platforms is the Data Mesh

Here’s why.

17 technology choices to enable and boost your Data Mesh strategy.

How can you approach Data Mesh from a tech perspective?

How to exchange metadata between WKC and other metadata repositories using Egeria.

In my last post, I talked about how we leveraged Egeria’s Open Metadata Repository Services (OMRS) to modernize our data catalog and assist…

Data Sovereignty in Watson Knowledge Catalog

Why Locations: As more and more personal data goes online, the data protection rules are becoming stringent. The governments are enacting…

Data Sovereignty Rules In WKC

In the previous post, we learned how to manage and assign locations in the Watson Knowledge Catalog. Once assets are assigned locations…

Using Fybrik to create a privacy-aware framework to access FHIR data

As the COVID-19 pandemic has shown, the ability to exchange healthcare data, both for research and for patient care, is critical. In fact…

Fybrik Modules: How to Leverage External Projects

Co-Authored by Doron Chen and Sima Nadler

How ING and IBM are collaborating to manage enterprise data across multiple clouds

Co-authored with Cong Chen and Mike Nicpan, ING

Experience Data Fabric on Cloud Pak for Data

You may be wondering, “what is a data fabric”? A data fabric is an architectural approach to simplify data access in an organization to…

Create Data products Solutions with Data fabric or Data mesh

Data product

Wilfried Hoge