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Guide to Data Warehouse: Concepts, Schemas and Benefits Explained

Astera

In the digital age, a data warehouse plays a crucial role in businesses across several industries. It provides a systematic way to collect and analyze large amounts of data from multiple sources, such as marketing, sales, finance databases, and web analytics. What is a Data Warehouse?

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Use Case Analysis for Business Intelligence Projects

Business Analysis Knowledge Share

This data, if harnessed effectively, can provide valuable insights that drive decision-making and ultimately lead to improved performance and profitability. This is where Business Intelligence (BI) projects come into play, aiming to transform raw data into actionable information.

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

Astera

Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault?  A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.

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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. What are Information Marts?

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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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What is a Data Pipeline?

Astera

Acting as a conduit for data, it enables efficient processing, transformation, and delivery to the desired location. By orchestrating these processes, data pipelines streamline data operations and enhance data quality. Stream processing platforms handle the continuous flow of data, enabling real-time insights.

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Single Source of Truth: What Is It and Why Is It Essential?

Astera

Team members heavily depend on these repositories for decision-making, reporting and visualizing data, and other business intelligence activities. With every department operating in an isolated silo, the data they base their decisions on is mostly inconsistent, inaccurate, and not up to date. Building a SSOT?