Blog Posts on Cloud, Data Lake, Data Quality Validation and Data Reconciliation
The Quick Guide to Data Error Handling in Data Warehouses
Without adequate data error handling in a data warehouse, the data stored can become unusable. Traditional methods of data error…
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10 Data Ingestion Tools to Fortify Your Data Strategy
What data ingestion tools should you use in your organization? It depends on what type of data you’re ingesting and…
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Data Validation for DataOps: The Only Guide You’ll Ever Need
In the 21st century, data has become a natural resource. Like oil or precious metals in the ground, the data…
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How to Scale Your Data Quality Operations with AI and ML
How can you cost-effectively scale your data quality operations as your business scales? The key is to employ artificial intelligence…
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Data Discovery and Its Applications in Business Intelligence
How do data discovery and business intelligence work together? The two analytic tools are similar in approach even though they…
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6 Key Data Quality and Data Trustability Metrics You Should Automate on Azure and Snowflake
Measuring the right Data Quality metrics ensures that you have the most trustable data. The more accurate is your data…
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How to Ensure Data Integrity During Cloud Migrations
The cloud is the best place to host your data and systems, and high-quality data is essential to successfully migrate…
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What an Automated Data Validation Tool Can Do For Operational and Transactional Data
Do you know how an automated data validation tool can benefit your business? Data validation ensures that you’re always working…
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Autonomous Cloud Data Pipeline Control: Tools and Metrics
Errors that get seeded in the data as it flows through the data pipeline, propagate throughout the organization and are…
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Data Quality Management: The Complete Guide
How much do you know about data quality management? Data quality – measured in terms of consistency, accuracy, completeness, and…
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