Blog Posts on Cloud, Data Lake, Data Quality Validation and Data Reconciliation
12 Top Data Governance Tools & Software for 2023
Is your organization looking to employ new data governance tools in the coming year? Data governance is necessary to ensure…
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Data Mesh Vs. Data Lake: Data Architecture Wars and its impact on Data Trustability
Data Lake relies on a centralized data repository, while Data Mesh decentralizes data storage and management. It’s a war between…
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Building trust in data is janitorial work; it’s not sexy, but critical for basic operations
Rahul Rao Arizona State University Data is the lifeblood of any organization, and ensuring that it is accurate and trustworthy…
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The Real (and Scary) Cost of Bad Data
Bad data can cost you money. It can also damage your reputation, drive good customers away, and negatively affect your…
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15 Data Catalog Tools & Software to Use in 2023
Managing your organization’s data catalog is challenging. You need robust data catalog tools to ingest data from multiple sources, monitor…
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Data Warehouse Architecture: Traditional vs. Cloud
A data warehouse is a system that gathers data from various sources and makes it available to management and others…
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How to Choose a Data Observability Platform
Not only do submarines not have screen doors, but they don’t have windows or external lights at all. Submarines primarily…
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Data Testing Vs. Data Observability: What Does Your Data Need?
Poor-quality data is a blight on every organization that depends on data to run its operations. Using inaccurate and incomplete…
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10 Common Data Quality Issues (And How to Solve Them)
Data quality is essential for any data-driven organization. Poor data quality results in unreliable analysis. High data quality enables actionable…
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How to Build a Unified, Scalable Cloud Data Lake
Large, flexible, and powerful. No, not the Stay Puft Marshmallow Man. Cloud data lakes can store large amounts of data,…
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