Dataversity

JANUARY 25, 2023

Over the past few years, enterprise data architectures have evolved significantly to accommodate the changing data requirements of modern businesses. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant? appeared first on DATAVERSITY.

Data Warehouse 130

Data Warehouse Data Architecture Cloud Computing Data Requirement 130

Astera

NOVEMBER 1, 2023

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. While both are meant for storing and retrieving data, they serve different purposes and have distinct characteristics.

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

Actian

SEPTEMBER 12, 2019

AI represents the next generation of computing capabilities. It is leveraging the speed and scale of cloud computing to deliver not only high-speed automation but also continuous learning and adaptation capabilities that can finally match the pace of change in the natural environment.

Data Requirement 40

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 40

Actian

SEPTEMBER 12, 2019

AI represents the next generation of computing capabilities. It is leveraging the speed and scale of cloud computing to deliver not only high-speed automation but also continuous learning and adaptation capabilities that can finally match the pace of change in the natural environment.

Data Requirement 8

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 8

Astera

AUGUST 16, 2024

In fact, Zippia reports that 67% of enterprise infrastructure in the US is now cloud-based. Moreover, organizations are now conducting cloud-to-cloud migrations to optimize their data stack and consolidate their data assets, with the cloud computing market expected to cross the $1 trillion mark by 2028.

Planning 52

Planning Digital Transformation Government Cloud Computing 52

Astera

OCTOBER 19, 2023

An agile tool that can easily adopt various data architecture types and integrate with different providers will increase the efficiency of data workflows and ensure that data-driven insights can be derived from all relevant sources. Adaptability is another important requirement.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

JANUARY 12, 2024

A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52