Keeping the Pulse of Your Data – Why You Need Data Observability to Improve Data Quality

Keeping the Pulse of Your Data
With the explosive growth of DataOps to drive faster and more confident business decisions, proactively understanding the quality and health of your data is more important than ever. Data observability is an emerging discipline within data quality used to expose anomalies in data by continuously monitoring and testing data using artificial intelligence and machine learning to trigger alerts when issues are discovered.
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Spotlight

OTHER ON-DEMAND WEBINARS

Speed-Of-Thought Analytics: Query Billions Of Rows In Milliseconds

In this 30 minute demo, you'll see a demo of how easy it is to connect to Yellowbrick data warehouse from MicroStrategy, query tables with billions of rows from a TPC-DS workload, and see results in milliseconds or seconds.
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Using DataOps for Data Pipeline Engineering Quality

tdwi.org

Data pipelines facilitate information flows and data exchange for a growing number of operational scenarios, including data extraction, transformation, and loading ETL into data warehouses and data marts, data migrations, production of BI reports, and application interoperability. When data engineers develop data pipelines, they may devise a collection of tests to guide the development process, but ongoing tests are not often put in place once those pipelines are put into production.
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Getting started with cnvrg.io data science platform

cnvrg.io is used across industries to help enterprises accelerate AI from research to production by simplifying DevOps and dependencies involved in building production-ready ML. Whether you’ve just begun the free trial, you’re a new user, or you’re interested in looking deeper into cnvrg.io features, we invite you to join us in a live workshop on how to get started using cnvrg.io.
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Introduction to SQL Server 2019

Argon Systems

Modern enterprises are struggling to gain insights from an exploding number of database management systems and ever-growing data volumes. SQL Server 2019 can help you overcome the challenges of integrating data and bring AI and machine learning to all of your data, structured and unstructured. It can also help you better manage your relational data right now. In this webinar, Introduction to SQL Server 2019, hear from Debbi Lyons, Senior Product Marketing Manager, Travis Wright, Principal Program Manager, and Bob Ward, Principal Architect at Microsoft discuss the latest updates and features for the new SQL Server release, including introducing the new big data cluster with intelligence over any data, how SQL Server 2019 enhances the developer experience, and using tools including Azure Data Studio.
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