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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Spotlight

Insight is an intensive, seven week postdoctoral training fellowship that bridges the gap between academia and a career in data science. Based in Silicon Valley and New York City, the program enables scientists to learn the industry specific skills needed to work in the growing field of big data at leading companies.

OTHER ON-DEMAND WEBINARS

Data & Analytics Leadership and Vision for 2019

Gartner

- Establish a trusted foundation of data management - Increase the data literacy of all roles in the enterprise - Scale data and analytics capabilities for the complexity of modern digital business
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Analyze Data Faster with an Open Source Columnar Database

MariaDB

If you are looking for the scalability and performance needed to support interactive, ad hoc analytics on billions of rows – and with SQL – this latest Data Science Central webinar will show you how to combine distributed, columnar storage and parallel query processing with powerful aggregate functions to deliver faster time to insight using modern, on-demand analytics, as well as how to leverage the power of Kafka and Spark connectors to plug into existing data pipelines. We will discuss the architectural overview of columnar databases, share real-world use cases and give a live demonstration.
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How Atrium Health Augments Utilization Review with Artificial Intelligence

XSOLIS

Tonya Harrison, Director of Clinical Care Management at Atrium Health (formerly Carolinas HealthCare System), discusses how Atrium Health is using artificial intelligence technology and predictive analytics to help review cases, resulting in significant time savings and increased compliance.
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What is Anomaly Detection and its Role in Preventative Analytics

DataRPM

Equipment downtime is a multi-billion-dollar problem which will only continue to grow with exploding sensor data. According to IDC, by 2018 a third of industrial companies will be disrupted by “Industrial IoT enabled competitors.” So how can companies monetize their IoT investments for higher operational efficiencies and productivity? Anomaly Detection and Prediction is the silver bullet that companies need to maximize their machine uptime and performance. Watch the on-demand webinar featuring the Dean of Big Data, Bill Schmarzo, Chief Technology Officer, Big Data at Dell EMC and Seth Page, General Manager and Head of Partnerships at Progress DataRPM, to learn how zero factory downtime can be a reality.
Watch Now

Spotlight

Insight is an intensive, seven week postdoctoral training fellowship that bridges the gap between academia and a career in data science. Based in Silicon Valley and New York City, the program enables scientists to learn the industry specific skills needed to work in the growing field of big data at leading companies.

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