Blog Posts on Cloud, Data Lake, Data Quality Validation and Data Reconciliation

data observability

What Is Data Observability for Data Pipelines?

By Giana Reno

Data observability is the big buzzword these days, but do you know what it is or what it does? In…

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data observability

What Is Data Observability for Data Lakes?

By Giana Reno

Do you know what data observability is or how to use it with data lakes? Large organizations are increasingly using…

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data observability

Who Should Care About Data Observability?

By Giana Reno

Do you work with data? If you do, then you need to care about data observability. Data observability is so…

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data observability

Differences Between Ingestion Monitoring and Data Observability

By Giana Reno

Data ingestion monitoring and data observability are two different yet complementary approaches to improving the quality of an organization’s data.…

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Data Quality in the Cloud

Strategies for Achieving Data Quality in the Cloud

By Angsuman Dutta

Previously published in Entrepreneur.com You’ve finally moved to the Cloud. Congratulations! But now that your data is in the Cloud,…

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data observability

Differences Between Data Quality and Data Observability

By Giana Reno

Do you know the differences between data quality and data observability? These two concepts are similar in some ways and…

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Trustability

How to ensure Data Trustability in your Data Lakes, Pipelines, and Warehouses?

By Angsuman Dutta

If data is the new oil, then high-quality data is the new black gold. Just like with actual oil, if…

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complex data analysis

Complex Data Analysis: Processes and Tools

By Giana Reno

Complex data analysis is necessary to help businesses and other organizations make sense of and use all the information they…

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data catalog

Data Catalog 101: 6 Benefits for Your Organization

By Giana Reno

How organized is your firm’s data? Dealing with unorganized raw data can impact your company’s efficiency, productivity, and ability to…

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Data Trustability

Establish autonomous data observability and trustability for AWS Glue Pipeline in 60 Seconds

By Angsuman Dutta

Data operations and engineering teams spend 30-40% of their time firefighting data issues raised by business stakeholders. A large percentage…

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