Modernize Your Data Architecture to Deliver Oracle as a Service

robin.io

The migration to cloud-based data architectures continues at a rapid pace, including databases and data management. Oracle databases are part of this trend, and during this webinar you will learn how to automate the provisioning and management of Oracle databases so that you can deliver an “as-a-service” experience with 1-click simplicity. Experts will walk you through the process of
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Spotlight

With respect to data quality, many factors come into play. Raw data from claims or from an EMR database are not suitable for analysis. Turning raw data into usable information requires preparation, including normali-zation and validation. Only then can an organization gain trustworthy insights from the information and put it to use in maximizing patient care, reducing risk and strengthening a business’s bottom line. While the concept of data quality is widely accepted, most health care organizations define “good data” in different ways. One common thread, however, is the overwhelming need to gather and analyze information from one end of the spectrum to the other.


OTHER ON-DEMAND WEBINARS

Get Started with Data Mining & Text Analytics

IBM

Organisations of all sizes rely on data mining and text analytics to reveal insights hidden in their data to help them..Improve patient care and treatment plans Anticipate, prevent and solve crime Attract and retain profitable customers Forecast and plan ahead more accurately Detect and prevent fraud Predict customer buying behaviour Reduce asset downtime and improve product quality Improve customer, employees, citizen, patients satisfaction. In this presentation we explain how these technologies work and show you how you can easily get started with data mining and text analytics with IBM SPSS Modeler as it requires no programming..
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Real-Time Trade Surveillance in Financial Markets

Arcadia Data

Join Hortonworks and Arcadia for this live webinar: we’ll cover the use case at a top 50 Global Bank who now has deep forensic analysis of trade activity. The result: interactive, ad hoc data visualization and access across multiple platforms – without limits on historic data – to detect irregularities as they happen.
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Using big data to meet business priorities

Oracle EMEA

It is the insights from big data that can be so illuminating. They show the new services that can differentiate your business. They enable you to create the customer-centric organisation by understanding what consumers expect. From supply chains to business processes, you will have the visibility to improve efficiency, while saving money and cutting risk. The potential result? The right products and services, delivered at the right time – extending your reach to new markets and opportunities.
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Webinar: How Bellhops Leverages Amazon Redshift UDFs for Massively Parallel Data Science

MapR

Join us as Ian Eaves, Data Scientist of Bellhops, shares how he uses user-defined functions (UDFs), Amazon Redshift, and Chartio to save multiple hours each week by running Python analysis directly in Amazon Redshift.Learn how Bellhops uses Amazon Redshift and Python UDFs to avoid inefficient data extraction as well as parallelize and share statistical analyses directly within Chartio.
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Spotlight

With respect to data quality, many factors come into play. Raw data from claims or from an EMR database are not suitable for analysis. Turning raw data into usable information requires preparation, including normali-zation and validation. Only then can an organization gain trustworthy insights from the information and put it to use in maximizing patient care, reducing risk and strengthening a business’s bottom line. While the concept of data quality is widely accepted, most health care organizations define “good data” in different ways. One common thread, however, is the overwhelming need to gather and analyze information from one end of the spectrum to the other.

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