Blog Posts on Cloud, Data Lake, Data Quality Validation and Data Reconciliation
How to Build the Perfect Analytics Stack
How effective is your organization’s analytics stack? You need the right stack of technologies to maximize data ingestion, transformation, storage,…
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Why Every Catalog Needs a Data Trust Score
Does your data catalog need a data trust score? With the increasing use of data catalogs in data management, the…
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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…
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Differences Between Data Quality and Data Trustability
Do you know the difference between data quality and data trustability? Both are concerned with data quality and usability but…
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What Is a Data Trust Score?
Do you trust the data used by your organization? A data trust score measures how much you trust your data…
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Five Things to Know About Data Trustability
How much do you know about data trustability? Do you know how data trustability relates to data quality and data…
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What Is Data Observability for Data Pipelines?
Data observability is the big buzzword these days, but do you know what it is or what it does? In…
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What Is Data Observability for Data Lakes?
Do you know what data observability is or how to use it with data lakes? Large organizations are increasingly using…
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Who Should Care About Data Observability?
Do you work with data? If you do, then you need to care about data observability. Data observability is so…
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Differences Between Ingestion Monitoring and Data Observability
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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