Blog Posts on Cloud, Data Lake, Data Quality Validation and Data Reconciliation
How to Build a Framework for Data Governance
All You Need to Know About Anomaly Detection
How to Reduce Data Transfer Costs in AWS
One out of three organizations today use Amazon Web services (AWS) to store and manage their online data and applications.…
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The 1-2-3 Guide to Self-Service Data Ingestion
How much data does your organization ingest each day? If yours is like most companies, the amount of data you…
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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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