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What We’ve Covered Throughout the One Big Cluster Stuck series we’ve explored impactful best practices to gain control of your Cloudera Data platform (CDP) environment and significantly improve its health and performance. Data Quality & DataGovernance Extensibility Like data standardization this goes to the heart of trusted data.
With the introduction of Artificial Intelligence and Machine Learning, as well as data visualization tools, designed for charting, dashboards and performance scorecards. The emergence of Big Data and Bring Your Own Device (BYOD) has become popular as users share, communicate and collaborate using cloud-based platforms and networks.
These tools allowed users to monitor key performance indicators (KPIs), reports and other metrics in a dashboard environment using many of the same features and tools they enjoyed in a desktop based application. Data Democratization -The trend toward Citizen Data Scientists has gained in popularity.
Furthermore, data quality tests serve multiple vital purposes beyond just catching issues in production. They are crucial for data quality scorecards, which help track the long-term health of an organization’s data. These scorecards are essential for regulatory compliance, executive reporting, and decision-making.
Metadata management has played a role in datagovernance and analytics for many years. It wasnt until the emergence of the data catalog as a product category just over a decade ago that enterprises had a platform for metadata-driven data management that could span multiple departments and use cases across an entire enterprise.
On the other hand, data engineers and analysts are responsible for maintaining data accuracy but struggle to get buy-in from stakeholders, who do not prioritize data quality until it becomes a crisis. Compounding the issue, datagovernance policies tend to be unclear or poorly enforced.
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