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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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Data Quality Tools: Top 8 for 2023 & Beyond

Astera

The drag-and-drop, user-friendly interface allows both technical and non-technical users to leverage Astera solutions to carry out complex data-related tasks in minutes, improving efficiency and performance. You can visualize and explore data intuitively for accuracy and consistency.

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Unifying Data from Multiple Sources: Data Integration and Data Consolidation in Data Preparation 

Astera

Data integration involves combining data from different sources into a single location, while data consolidation is performed to standardize data structure to ensure consistency. Organizations must understand the differences between data integration and consolidation to choose the right approach for their data management needs.

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The Top 7 Data Aggregation Tools in 2024

Astera

The platform leverages a high-performing ETL engine for efficient data movement and transformation, including mapping, cleansing, and enrichment. Key Features: AI-Driven Data Management : Streamlines data extraction, preparation, and data processing through AI and automated workflows.

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The Change Data Capture (CDC) Guide for PostgreSQL

Astera

These are some of the major reasons for its impressive longevity—PostgreSQL has been around for over two decades and continues to rank among the most widely used relational databases for data management today. The two complement each other so you can leverage your data more easily. Discover the Astera difference today!

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The Missing Link in Your Power BI/ERP Data Chain

Insight Software

Business intelligence empowers businesses to get the most out of their data by providing tools to analyze information, streamline operations, track performance, and inform decision-making. Data models must be refreshed either manually or on a set schedule. Complementing Your Business Intelligence.