Blog Posts on Cloud, Data Lake, Data Quality Validation and Data Reconciliation
How to automate continuous Data Trustability for Cloudera Data Lake
Angsuman Dutta, CTO, FirstEigen, Chicago, IL, USA Kenton Troy Davis, Manager Partner Solutions Engineering, Cloudera, Washington DC, USA In today’s…
Read MoreThe Top 5 Challenges of Validating Data on Databricks and How to Overcome Them
If your work revolves around data management, chances are you’ve become familiar with validating data on Databricks. A popular cloud…
Read MoreData Trust Scores and Circuit Breakers: Powering Data Pipeline Integrity
Data Pipeline Circuit Breakers: Ensuring Data Trust with Unity Catalog In the fast-paced world of data-driven decision-making, the integrity and…
Read MoreWhat Is Plaguing IoT Data? (+ Tips to Get Accurate IoT Analytics)
Around the globe, the number of connected devices forming the Internet of Things (IoT) is growing rapidly, with current projections…
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…
Read MoreBenefits of Complementing Informatica with a Data Quality Add-On
How important is data quality to your organization? Accurate, reliable data is imperative for smooth operations and informed business decisions.…
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,…
Read MoreDeploy Data Quality tools/Data Trust Monitors Across Pipelines to Reduce Dark Data
Seth Rao, CEO of FirstEigen, speaks about building a data trustability platform, ensuring data trustworthiness, the importance of a data…
Read MoreHow to Build a Data Mesh Architecture
Is your organization ready to implement a data mesh architecture? Building a data mesh involves transitioning from a centralized to…
Read MoreData Integration: Challenges, Best Practices, and Tools
How well does your organization integrate data from multiple sources? Effective data integration is critical to turning raw data into…
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