Posts by Seth Rao
10 Best Data Pipeline Monitoring Tools in 2025
What Are Data Pipeline Monitoring Tools? Data pipeline monitoring tools ensure the performance, quality, and reliability of data as it moves across systems. These platforms are indispensable for identifying anomalies, detecting bottlenecks, and proactively resolving errors in data flow. With the growing complexity of data pipelines, robust monitoring tools are essential for ensuring seamless operations.…
Read MoreData Migration Strategies to Cut Down Migration Costs by 70%
Migrating data can feel overwhelming and expensive. But it doesn’t have to be. With the right strategies, you can actually reduce migration costs by up to 70%. So, what’s the trick? It’s all about being intentional—only migrating the data that’s essential and ensuring its quality. Let’s break down three practical strategies that can make a…
Read MoreSeamless Teradata to Databricks Migration: How to Tackle Challenges and Ensure Data Quality With DataBuck
Data migration is one of those projects that often sounds straightforward—until you dive in and start uncovering the layers of complexity. Moving from Teradata to Databricks, a journey many companies are embarking on to boost flexibility and scalability, is a prime example. The promise of enhanced data processing capabilities is there, but so are a…
Read MoreHow Data Trustability Shapes Acquisition Outcomes: The Veradigm Deal
In recent reports, McKesson (NYSE: MCK) and Oracle (NYSE: ORCL) have emerged as key players in the pursuit to acquire Veradigm (OTC: MDRX), a leading electronic medical records company. With a potential deal expected to exceed Veradigm’s $1B market cap, major private-equity firm Thoma Bravo has also expressed interest, especially given its ties to healthcare…
Read MoreHow Data Quality Affects Medicare Star Ratings of Health Insurance Company?
In the context of health insurance companies, the quality of data utilized is one of the main determinants affecting the levels of the Medicare Star Ratings. It is a system for measuring the quality of Medicare Advantage and Prescription Drug Plans, using a 1 to 5 star rating system. These ratings act as a critical…
Read MoreData Observability: a Blueprint for Competitive Advantage in Modern Enterprises
Data Observability: a Must-Have for Modern Enterprises Modern enterprises thrive on data-driven decision-making. Yet, raw data alone offers limited value. Success lies in extracting actionable insights, driving innovation, and maintaining a competitive advantage. This requires a strategic approach to data management. Data observability fills this vital role. It allows businesses to understand their data’s health,…
Read MoreTop 5 Challenges of Data Validation in Databricks and How to Overcome Them
Databricks data validation is a critical step in the data analysis process, especially considering the growing reliance on big data and AI. While Databricks offers a powerful platform for data processing and analytics, flawed data can lead to inaccurate results and misleading conclusions. Here’s how to ensure your Databricks data is trustworthy and ready for…
Read MoreSimpler Data Access and Controls With Unity Catalog
Foreword: The below blog post is being reproduced on our website with permission from Speedboat.pro as it closely intertwines with FirstEigen’s DataBuck philosophy around building well-architected lakehouses. When building data pipelines, a thorough validation of the data set upfront (I call it ‘defensive programming’) yields great rewards in terms of pipeline reliability and operational resilience.…
Read More5 Downsides of Informatica Data Quality and How DataBuck Eliminates Them
Do you know the major downsides of Informatica Data Quality—and how to work around them? Often known as Informatica DQ, this tool is part of the larger Informatica data integration platform. Numerous enterprises rely on it to optimize data quality across both on-premises and cloud systems. However, Informatica DQ is not perfect. Users have reported…
Read MoreHow to Deploy Data Quality Tools & Data Trust Monitors Across Pipelines to Reduce Dark Data?
As businesses collect ever-increasing volumes of data, the risk of accumulating “dark data”—data that remains unused or untrustworthy—continues to grow. The solution lies in implementing advanced data quality tools and data trust monitors across data pipelines to ensure the accuracy, reliability, and trustability of your data. Seth Rao, CEO of FirstEigen, speaks about building a…
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