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

error handling in data warehouse

The Quick Guide to Data Error Handling in Data Warehouses

By Giana Reno

Without adequate data error handling in a data warehouse, the data stored can become unusable. Traditional methods of data error…

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data ingestion tools

10 Data Ingestion Tools to Fortify Your Data Strategy

By Giana Reno

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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DataOps

Data Validation for DataOps: The Only Guide You’ll Ever Need

By Giana Reno

In the 21st century, data has become a natural resource. Like oil or precious metals in the ground, the data…

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scale data quality operations

How to Scale Your Data Quality Operations with AI and ML

By Seth Rao

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 business intelligence

Data Discovery and Its Applications in Business Intelligence

By Giana Reno

How do data discovery and business intelligence work together? The two analytic tools are similar in approach even though they…

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data quality metrics

6 Key Data Quality and Data Trustability Metrics You Should Be Tracking

By Seth Rao

Knowing the right data quality metrics to measure helps you ensure that you always have the most trustable data with…

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An illustration of a digital cloud with binary codes

How to Ensure Data Integrity During Cloud Migrations

By Giana Reno

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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data validation tool

What an Automated Data Validation Tool Can Do For Operational and Transactional Data

By Giana Reno

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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data pipeline monitoring tools and metrics

Autonomous Cloud Data Pipeline Control: Tools and Metrics

By Seth Rao

Errors that get seeded in the data as it flows through the data pipeline, propagate throughout the organization and are…

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Two engineers discuss data quality management as they walk by a wall full of servers.

Data Quality Management: The Complete Guide

By Giana Reno

How much do you know about data quality management?  Data quality – measured in terms of consistency, accuracy, completeness, and…

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