Astera

JULY 3, 2024

What is Data Architecture? Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

DECEMBER 22, 2022

Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Migrate to Cloud-based data architecture.

Data Warehouse 52

Data Warehouse IBM Maintenance IBM Support Data Architecture 52

The BAWorld

SEPTEMBER 18, 2024

Properly executed, data integration cuts IT costs and frees up resources, improves data quality, and ignites innovation—all without systems or data architectures needing massive rework. How does data integration work?

Data Warehouse 52

Data Warehouse Finance Data Architecture Banking 52

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

MARCH 20, 2024

The ever-evolving regulatory environment means that your organization must always be capable of navigating a changing set of rules and standards that govern data. Enterprise Data Management Strategy An enterprise data management strategy is a comprehensive plan outlining how your organization will handle data throughout its lifecycle.

Data Management 52

Data Management Master Data Management Data Quality Data Warehouse 52

Actian

JULY 31, 2019

This challenge stems from a rather large “data-type mismatch” as well as how and where data has been incorporated into applications and business process. At one time, data was largely transactional and Online Transactional Processing (OLTP) and Enterprise resource planning (ERP) systems handled it inline, and it was heavily structured.

IBM Support 8

IBM Support Documentation IBM Maintenance Data Warehouse 8

Astera

MAY 31, 2024

Data Science Process Business Objective: This is where you start. You define the business objectives, assess the situation, determine the data science goals, and plan the project. You must plan the deployment, monitor and maintain the model, produce the final report, and review the project.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52