Remove Data Governance Remove Data Warehouse Remove Healthcare
article thumbnail

Data Vault 2.0: What You Need to Know

Astera

With its foundation rooted in scalable hub-and-spoke architecture, Data Vault 1.0 provided a framework for traceable, auditable, and flexible data management in complex business environments. Building upon the strengths of its predecessor, Data Vault 2.0 The technology: Struggled to adapt to changing data types.

article thumbnail

Understanding Data Fabric

GAVS Technology

While focus on API management helps with data sharing, this functionality has to be enhanced further as data sharing also needs to take care of privacy and other data governance needs. Data Lakes.

Insiders

Sign Up for our Newsletter

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

article thumbnail

The Rise of the Data Team

Sisense

Today, data teams form a foundational element of startups and are an increasingly prominent part of growing existing businesses because they are instrumental in helping their companies analyze the huge volumes of data that they must deal with. In the healthcare sector, the pandemic has caused unprecedented challenges in patient care.

article thumbnail

What is a Data Catalog? Features, Best Practices, and Benefits

Astera

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

article thumbnail

Use Case Analysis for Business Intelligence Projects

Business Analysis Knowledge Share

Enhanced Data Governance : Use Case Analysis promotes data governance by highlighting the importance of data quality , accuracy, and security in the context of specific use cases. This may involve data from internal systems, external sources, or third-party data providers.

article thumbnail

Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

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
article thumbnail

All You Need to Know About Data Aggregation

Astera

It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Once aggregated, data is generally stored in a data warehouse. Government: Using regional and administrative level demographic data to guide decision-making.