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Enterprise Data Management: Strategy, Benefits, Best Practices

Astera

Enterprise data management (EDM) is a holistic approach to inventorying, handling, and governing your organization’s data across its entire lifecycle to drive decision-making and achieve business goals. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

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Data Profiling: Types, Techniques and Best Practices

Astera

Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.

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Guide to Data Warehouse: Concepts, Schemas and Benefits Explained

Astera

A data warehouse is a system used to manage and store data from multiple sources, including operational databases, transactional systems, and external data sources. The data is organized and structured to support business intelligence (BI) activities such as data mining, analytics, and reporting.

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SQL Server for Data Warehouse: Optimizing Data Management and Analysis

Astera

A data warehouse is a key component of an organization’s data stack that enables it to consolidate and manage diverse data from various sources. Cut Down Data Warehouse Development Time by up to 80% Traditional data warehouse development requires significant investment in terms of time and resources.

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SQL Server for Data Warehouse: Optimizing Data Management and Analysis

Astera

A data warehouse is a key component of an organization’s data stack that enables it to consolidate and manage diverse data from various sources. Cut Down Data Warehouse Development Time by up to 80% Traditional data warehouse development requires significant investment in terms of time and resources.

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What Is Data Management and Why Is It Important?

Astera

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

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Build an Agile Data Warehouse with an Iterative Approach

Astera

However, the recommended way is to opt for a unified platform that checks all these boxes to meet your data warehousing needs. Discover best practices to manage high volume data warehouses Download Whitepaper Okay, Sounds Great. But Why Should I Consider This Approach?