Trillium DQ for Big Data
Trillium DQ for Big Data helps you maximize the business value of big data and cloud with the power of highly-scalable data profiling and data quality.
Organizations are gathering larger volumes, and greater variety, of data to achieve more insights and make better data-driven business decisions. Yet surveys consistently show executives lack trust in their data. To have confidence in decision-making, regulatory compliance and more, enterprises require data quality tools that can handle these growing and complex data sets.
Trillium DQ for Big Data provides industry-leading data profiling and data quality at scale, designed specifically to meet the challenges presented by today’s data environments, so you can drive successful data governance, advanced analytics, AI, machine learning, and focused business insights.
Trillium DQ for Big Data empowers your users to focus on understanding and addressing critical data quality issues and requirements. Quickly and natively connect to Big Data sources to execute data profiling tasks, and visually create and test data quality processes which can be deployed and run directly within Big Data execution frameworks on premises or in leading cloud platforms.
Unlike other enterprise data quality tools, Trillium DQ for Big Data automatically manages the technical aspects of executing data profiling and data quality jobs at run time, including dynamic performance optimization based on available system resources and your chosen computer framework. You can design once and deploy anywhere, with no tuning or re-coding, even if you change frameworks.
With native high-performance data profiling, you can:
Visually assess the quality of the data sources in your data lake and assess their completeness, consistency, validity, and accuracy. Trillium DQ for Big Data includes:
• Time-tested, robust data profiling capabilities built from decades of industry-leading data quality expertise. Users select, connect, and run data profiling against Big Data sources in a few easy steps, with no user coding skills or Big Data expertise required.
• A business user interface to broadly explore your data with rich out-of-the-box functionality to uncover data defects or outliers, and evaluate data relationships across sources, drill down to any detail, and annotate your findings.
• Powerful yet straightforward business rules to focus in on key validation criteria, whether simple, complex, or compound conditions for measuring data quality, and evaluate data sources according to thresholds you set.
• Native connectivity to Big Data sources, Intelligent Execution for highly scalable processing, and extensible storage so you can scale to the data volumes you need to address.