Blog Posts on Cloud, Data Lake, Data Quality Validation and Data Reconciliation
How to Architect Data Quality on Snowflake – Serverless, Autonomous, In-Situ Data Validation
With the accelerating adoption of Snowflake as the cloud data warehouse of choice, the need for autonomously validating data has become critical. Architect Data Quality on Snowflake – Serverless, Autonomous, In-Situ Data Validation.
Read MoreCloud Data Pipeline Leaks: Challenge of Data Quality in the Cloud
Organizations, especially those in financial services, struggle to ensure data quality in the cloud. Data pipelines often drop rows thanks to issues with infrastructure that companies don’t control, but the scale at which these organizations process data means that manual methods of identifying these leaks are insufficient.
Read MorePoor Data Quality regulatory nightmare for a major Bank
Bank wrongly collects debt from customers due to IT errors. One of Europe’s reputed progressive banks is Danske Bank (Denmark).…
Read MoreWhy the Fortune 500 is Dumping Hadoop
Saw this very informative article on the ongoing demise of Hadoop. Our customers are experiencing the same conditions the author…
Read MoreAI ML Led Automated Data Quality
Whitepaper AI ML Led Automated Data Quality Authors: Seth Rao, Angsuman Dutta, Himansu Sekhar Tripathy, Deep Sharma Introduction Data Quality…
Read MoreTuring Award Winner’s Insights on Data Reliability
Turing Award Winner and MIT Professor, Dr. Michael Stonebraker wrote a white paper outlining his transformative view on data (1).…
Read MoreMitigating Impact of Data Quality on GDPR Compliance
For GDPR (General Data Protection Regulation, a short introduction is attached below this article), Data Quality and Data Integrity are…
Read MoreData Integrity & Data Quality: Healthcare’s foundational tools to fight inefficiencies and fraud
Key Takeaway Health insurance companies are losing millions of dollars each year due to poor healthcare Data Integrity and healthcare…
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