Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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dbt Labs is redefining how data teams work with SQL. Instead of waiting on complex ETL processes, dbt lets data analysts and data engineers build production-ready transformations directly in the warehouse, using code, version control, and CI/CD. This community-driven approach puts power back in the hands of practitioners while maintaining governance and scalability for enterprise use.
With a rapidly growing open-source community and an enterprise-grade cloud platform, dbt is at the heart of the modern data stack. It’s the go-to solution for teams who want faster analytics, higher quality data, and the confidence that comes from transparent, testable transformations.
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PARCview
dataPARC is a self-service industrial data visualization & analytics toolkit designed for process manufacturers seeking to improve quality, increase yield, & optimize their operations.
Collect, connect, & analyze data from across the plant with dataPARC’s process data analytics & visualization platform.
Solve challenging process & product quality issues with simple, yet powerful trending & diagnostic analytics tools.
Build sophisticated dashboards and displays to monitor processes & share production KPIs across your enterprise.
Leverage artificial intelligence (AI) and machine learning to drive continuous improvement & increase margins via predictive modelling.
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Predix Platform
The Predix Platform serves as the backbone for industrial operations. It is an asset-focused and scalable data foundation that functions as a secure application platform capable of running, scaling, and enhancing digital industrial solutions. This platform provides essential shared capabilities necessary for industrial applications, including asset connectivity, edge technology, analytics, machine learning, big data processing, and the creation of asset-centric digital twins. As a distributed application platform, the Predix Platform is finely tuned for managing and analyzing high volumes of data with low latency, ensuring effective integration. Additionally, Predix Essentials offers a comprehensive solution tailored for industrial monitoring and event management. This tool harnesses the power of the Predix Platform, incorporating asset connectivity and edge-to-cloud data processing along with a robust user console, all pre-configured for swift implementation—eliminating the need for any development effort. With Predix Essentials, organizations can quickly achieve operational efficiency and enhanced insights.
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