Posts Tagged ‘Data errors on the cloud’
Data Integrity: The Last Mile Problem of Data Observability
Data quality issues have been a long-standing challenge for data-driven organizations. Even with significant investments, the trustworthiness of data in most organizations is questionable at best. Gartner reports that companies lose an average of $14 million per year due to poor data quality. Data observability has been all the rage in data management circles for a…
Read MoreHow to ensure Data Trustability in your Data Lakes, Pipelines, and Warehouses?
If data is the new oil, then high-quality data is the new black gold. Just like with actual oil, if you don’t have good data quality, you’re not going to get very far. In fact, you might not even make it out of the starting gate. So, what can you do to make sure your…
Read MoreAutonomous Cloud Data Pipeline Control: Tools and Metrics
Errors that get seeded in the data as it flows through the data pipeline, propagate throughout the organization and are responsible for 80% of all errors impacting the business users. High-quality data is essential to the success of any business or organization. It’s important to monitor your data pipeline to guard against missing, incorrect, old/not-fresh,…
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 Nicole Hemsoth is referencing. Here is a summary of the longer article. Summary Why did it grow initially? 2010-2015: Hadoop was touted for its incredible analytics performance and cost savings compared to the then dominant…
Read More