Remove Data Architecture Remove Data Management Remove Management
article thumbnail

Modern Data Architecture: Data Mesh and Data Fabric 101

Precisely

Key Takeaways: Data mesh is a decentralized approach to data management, designed to shift creation and ownership of data products to domain-specific teams. Data fabric is a unified approach to data management, creating a consistent way to manage, access, and share data across distributed environments.

article thumbnail

How to Manage Risk with Modern Data Architectures

Cloudera

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Up your liquidity risk management game Historically, technological limitations made it difficult for financial institutions to accurately forecast and manage liquidity risk.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Simplifying Data Architecture and Security to Accelerate Value

Snowflake

Whether it’s unifying transactional and analytical data with Hybrid Tables, improving governance for an open lakehouse with Snowflake Open Catalog or enhancing threat detection and monitoring with Snowflake Horizon Catalog , Snowflake is reducing the number of moving parts to give customers a fully managed service that just works.

article thumbnail

Modern Data Management Essentials: Exploring Data Fabric

Precisely

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

article thumbnail

Data Architecture and Strategy in the AI Era

Cloudera

But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security concerns to rapidly proliferating data silos and governance challenges. Let’s explore some of the most important findings that the survey uncovered.

article thumbnail

Laying the Foundation for Modern Data Architecture

Cloudera

It’s not enough for businesses to implement and maintain a data architecture. The unpredictability of market shifts and the evolving use of new technologies means businesses need more data they can trust than ever to stay agile and make the right decisions.

article thumbnail

An Overview of Cloudera’s AI Survey: The State of Enterprise AI and Modern Data Architecture

Cloudera

The survey, ‘ The State of Enterprise AI and Modern Data Architecture ’ uncovered the challenges and barriers that exist with AI adoption, current enterprise AI deployment plans, and the state of data infrastructures and data management. EMEA and APAC regions.