Blog Posts on Cloud, Data Lake, Data Quality Validation and Data Reconciliation

Data Management

Agentic Data Trust: Next Frontier for Data Management

By Angsuman Dutta

As data grows exponentially, ensuring accuracy, security, and compliance is increasingly challenging. Traditional rule-based data quality checks—whether downstream (reactive) or…

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Data Trust

5 Emerging Data Trust Trends to Watch in 2025    

By Angsuman Dutta

As organizations accelerate their data-driven initiatives, data quality is evolving from a manual, back-office function to a core business priority.…

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Data Pipeline Monitoring

10 Best Data Pipeline Monitoring Tools in 2025

By Seth Rao

What Are Data Pipeline Monitoring Tools? Data pipeline monitoring tools ensure the performance, quality, and reliability of data as it…

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Databricks Migration

Data Migration Strategies to Cut Down Migration Costs by 70%

By Seth Rao

Migrating data can feel overwhelming and expensive. But it doesn’t have to be. With the right strategies, you can actually…

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Data Quality with DataBuck

Seamless Teradata to Databricks Migration: How to Tackle Challenges and Ensure Data Quality With DataBuck

By Seth Rao

Data migration is one of those projects that often sounds straightforward—until you dive in and start uncovering the layers of…

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Data Trustability Shapes Acquisition Outcomes

How Data Trustability Shapes Acquisition Outcomes: The Veradigm Deal

By Seth Rao

In recent reports, McKesson (NYSE: MCK) and Oracle (NYSE: ORCL) have emerged as key players in the pursuit to acquire…

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Challenges With Data Observability

Challenges With Data Observability Platforms and How to Overcome Them

By Angsuman Dutta

Core Differences Between Data Observability Platforms and DataBuck Many organizations that initially embraced data observability platforms are now realizing the…

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Ditch the ‘Spray and Pray’ Data Observability Approach

Ditch ‘Spray and Pray’: Build Data Trust With DataBuck for Accurate Executive Reporting

By Angsuman Dutta

In the world of modern data management, many organizations have adopted data observability solutions to improve their data quality. Initially,…

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Data Errors Are Costing Financial Services Millions and How Automation Can Save the Day?

By Angsuman Dutta

Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even…

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A wall full of codes and the word “quality”

How Data Quality Affects Medicare Star Ratings of Health Insurance Company?

By Seth Rao

In the context of health insurance companies, the quality of data utilized is one of the main determinants affecting the…

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