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The Ultimate Guide to Enterprise Data Warehouse

Astera

But have you ever wondered how data informs the decision-making process? The key to leveraging data lies in how well it is organized and how reliable it is, something that an Enterprise Data Warehouse (EDW) can help with. What is an Enterprise Data Warehouse (EDW)?

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What is natural language search (NLS)?

Astera

Now, imagine if you could talk to your data warehouse; ask questions like “Which country performed the best in the last quarter?” Believe it or not, striking a conversation with your data warehouse is no longer a distant dream, thanks to the application of natural language search in data management.

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Two Birds, One Stone: How to Get Better AX Reporting and Prepare for Future D365 Migration Today

Insight Software

Many AX customers have invested heavily in data warehouse solutions or in robust Power BI implementations that produce considerably more powerful reports and dashboards. It offers the benefits of a data warehouse–high-performance, sophisticated analysis capabilities and the capacity to manage and analyze very large data sets.

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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 Data Vault 2.0 What’s New in Data Vault 2.0? Data Vault 2.0

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Data Integration 101: Understanding The Basics

Astera

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

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Data Integration 101: Understanding The Basics

Astera

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

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What is ETL? – Extract, Transform, Load Explained

Astera

Reverse ETL is a relatively new concept in the field of data engineering and analytics. It’s a data integration process that involves moving data from a data warehouse, data lake, or other analytical storage systems back into operational systems, applications, or databases that are used for day-to-day business operations.