Remove Agile Remove Data Management Remove Real-time Data
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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

Relevant, complete, accurate, and meaningful data can help a business gain a competitive edge over its competitors which is the first step towards scaling operations and becoming a market leader. As such, any company looking to stay relevant both now and, in the future, should have data management initiatives right.

Big Data 204
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What Is Data Management and Why Is It Important?

Astera

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. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

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CDC for ETL Process Optimization in Finance Industry

Astera

However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies. Change data capture (CDC) emerges as a pivotal solution that enables real-time data synchronization and analysis.

Finance 52
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How Pet Family Used Data to Thrive Under COVID

Sisense

During that time, they’ve faced challenges both expected (data volumes growing as the business grew) and not (a UK-wide lockdown, in addition to various temporary store closures). As data volumes grew, the accuracy and integrity of these datasets become of paramount concern along Pet Family’s analytics journey.

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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’s New in Data Vault 2.0?

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AI in Supply Chain: Data Extraction Revolution

Astera

This flexibility enables businesses to effortlessly incorporate AI Capture into their existing data management processes, harnessing the power of real-time data and predictive analytics. This approach saves time and effort and enables a more efficient extraction process.

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AI in Supply Chain: Data Extraction Revolution

Astera

This flexibility enables businesses to effortlessly incorporate AI Capture into their existing data management processes, harnessing the power of real-time data and predictive analytics. This approach saves time and effort and enables a more efficient extraction process.