Data Virtualization

OCTOBER 18, 2022

Reading Time: 4 minutes “Le roi est mort, vive le roi.” The post The Data Warehouse is Dead, Long Live the Data Warehouse, Part I appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Warehouse 98

Data Warehouse ROI Data Integration Internet of Things 98

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

IBM Big Data Hub

MAY 9, 2023

A foundation model thus makes massive AI scalability possible, while amortizing the initial work of model building each time it is used, as the data requirements for fine tuning additional models are much lower. This results in both increased ROI and much faster time to market.

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Metadata 107

Timo Elliott

JUNE 19, 2023

I’ve really found that it’s a fantastic way of explaining the benefits, the possible ROI, from digital transformation, which historically has been something that’s relatively hard to do. The next area is data. There’s a huge disruption around data. It works, but it’s a lot of hard work.

Data Lake 105

Data Lake Digital Transformation Recreation/Entertainment Technology 105

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. Then, it applies these insights to automate and orchestrate the data lifecycle.

Data Architecture 60

Data Architecture Data Lake Machine Learning Data Governance 60

Timo Elliott

NOVEMBER 30, 2022

And I’ve found that the Signavio solutions are a great way to help build the ROI case for innovation. Because of technology limitations, we have always had to start by ripping information from the business systems and moving it to a different platform—a data warehouse, data lake, data lakehouse, data cloud.

Recreation/Entertainment 98

Recreation/Entertainment Metadata Data Warehouse Cost-Benefit 98