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Data Vault 2.0: What You Need to Know

Astera

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations.

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Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing

Astera

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing As businesses deal with larger and more diverse volumes of data, managing that data has become increasingly difficult. These examples show the high level of flexibility and adaptability provided by data vault.

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7 Data Quality Metrics to Assess Your Data Health

Astera

Data that meets the requirements set by the organization is considered high-quality—it serves its intended purpose and helps in informed decision-making. Such a detailed dataset is maintained by trained data quality analysts, which is important for better decision-making and patient care.

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How to Aggregate Global Data from the Coronavirus Outbreak

Sisense

As COVID-19 continues to spread, healthcare groups and companies of all kinds are under pressure to provide care in the face of increasing demand. Healthy Data is your window into how data is helping these organizations address this crisis. Not all these data sources should be treated the same way, they each have specific needs.

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The Benefits of Using a Data Warehouse for Healthcare Data Management

Astera

In the world of medical services, large volumes of healthcare data are generated every day. Currently, around 30% of the world’s data is produced by the healthcare industry and this percentage is expected to reach 35% by 2025. The sheer amount of health-related data presents countless opportunities.

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Data Modeling: Techniques, Best Practices, & Why It Matters?

Astera

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?