Peter James Thomas

AUGUST 29, 2018

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

AWS Big Data

APRIL 28, 2023

The first post of this series describes the overall architecture and how Novo Nordisk built a decentralized data mesh architecture, including Amazon Athena as the data query engine. The third post will show how end-users can consume data from their tool of choice, without compromising data governance.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

BI-Survey

AUGUST 21, 2020

People from BI and analytics teams, business units, IT, corporate management and external consultant teams took part. A time-consuming development process and restricted support of self-service BI are the major drivers for modernizing the data warehouse. Data must become a C-level priority.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

IBM Big Data Hub

MARCH 14, 2024

This service streamlines data management for AI workloads across hybrid cloud environments and facilitates the scaling of Db2 databases on AWS with minimal effort. Also, IBM Consulting® and AWS have collaborated to help mutual clients to operationalize and derive value from their data for generative AI (gen AI) use cases. 

Cost-Benefit 76

Cost-Benefit Metadata Optimization Management 76

Peter James Thomas

MAY 3, 2019

As part of my consulting business , I end up thinking about Data Capability Frameworks quite a bit. Sometimes this is when I am assessing current Data Capabilities, sometimes it is when I am thinking about how to transition to future Data Capabilities. Leverage of Data to generate Insight. Introduction.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

BI-Survey

JANUARY 15, 2023

In general, central data & analytics teams determine the data architecture for analytical data, decoupled from the landscape of operational data sources. Indeed, this is what the data warehouse, data lake and data lakehouse have in common, regardless of the differences in their detail.

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

AWS Big Data

DECEMBER 21, 2023

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption. This is the Data Mart stage.

Data Lake 90

Data Lake Data Warehouse Data-driven B2B 90

CIO Business Intelligence

JANUARY 20, 2023

But Kevin Young, senior data and analytics consultant at consulting firm SPR, says organizations can first share data by creating a data lake like Amazon S3 or Google Cloud Storage. Members across the organization can add their data to the lake for all departments to consume,” says Young.

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135