Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding others in ways that are detected only at the end: Improper data testing ...
Data migration testing ensures that all your data sets and system integrity are maintained when they’re transferred to a different host. Depending on the size of your organization and the work it does ...
Earlier this year, I had the privilege of serving on the organizing committee for the DataTune conference in my hometown of Nashville, Tenn. Unlike many database-specific or platform-specific ...
As organizations continue their digital transformation, the demand for timely, consumption-ready data has never been higher. Yet simply adopting data operations tools is not enough to improve data ...
The demand for data engineering solutions is growing significantly. According to a Market Data Forecast report, the global big data and data engineering market was valued at $75 billion in 2024 and is ...
The latest trends in software development from the Computer Weekly Application Developer Network. Data quality company Soda has launched SodaGPT, a generative Artificial intelligence (gen-AI) powered ...
Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...
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