How to Scale Your Data Quality Operations with AI and ML

scale data quality operations

How can you cost-effectively scale your data quality operations as your business scales? The key is to employ artificial intelligence and machine learning technology that can take on an increasing amount of the data quality management chores as they learn more about your organization’s data. It’s all in the about making the best use of…

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Autonomous Cloud Data Pipeline Control: Tools and Metrics

data pipeline monitoring 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,…

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What is Data Monitoring and Why Do You Need It?

First Eigen

What is Data Monitoring and Why Do You Need It? Organizations leverage information to make decisions that affect people and revenue. Data monitoring plays a role by ensuring that any data submitted is reliable and meets the criteria of an organization. It keeps checking the data to verify that it still holds to the rules…

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Why the Fortune 500 is Dumping Hadoop

A blue wall of glowing hexagons

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…

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