Remove Business Intelligence Remove Data Architecture Remove Data Governance Remove Unstructured Data
article thumbnail

Five Modern Data Architecture Trends

David Menninger's Analyst Perspectives

I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data.

article thumbnail

Data architecture strategy for data quality

IBM Big Data Hub

But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality. What does a modern data architecture do for your business? Reduce data duplication and fragmentation.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

5 Ways Data Modeling Is Critical to Data Governance

erwin

They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. So here’s why data modeling is so critical to data governance.

article thumbnail

Huawei unveils four strategic directions for the future of finance

CIO Business Intelligence

Achieving this requires a comprehensive upgrade across five dimensions of data intelligencedata architecture, data governance, data consumption, data security, and data talent. Mr. Cao noted the specific problem of unstructured data. “A

Finance 98
article thumbnail

What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

article thumbnail

Building resilient infrastructure: the key to cloud-native, real-time decision-making

CIO Business Intelligence

Achieving this requires a comprehensive upgrade across five dimensions of data intelligencedata architecture, data governance, data consumption, data security, and data talent. Mr. Cao noted the specific problem of unstructured data. “A

article thumbnail

Accelerating generative AI requires the right storage

CIO Business Intelligence

Unstructured data needs for generative AI Generative AI architecture and storage solutions are a textbook case of “what got you here won’t get you there.” In other words, storage platforms must be aligned with the realities of unstructured data and the emerging needs of generative AI.