Using MATLAB with PI System for Analysis and Process Monitoring

"Do you store process or plant information in the OSIsoft PI System? Would you like to perform more advanced analytics on your historical and real time enterprise data? In this webinar, learn how to apply the convenience of advanced analysis in MATLAB to analyze your historical data, prototype mathematical algorithms, and integrate these analytical results back into the PI System. Through an example case study of a wind farm monitoring application using a neural network to detect early system failures, we show you how to: Access PI System data directly into MATLAB Perform post-processing, statistical and visual analysis of historical data Develop a monitoring algorithm to compare actual and expected power output Use the algorithm to detect abnormal system behavior Return the algorithmic results back to the PI System for real-time analytics"
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Zoomdata’s Next Generation Data Visualization and Exploration tool turns big data sets and streams into compelling, real-time and interactive visualizations. This video provides an overview of all the new features, enhancements, fixes and visible changes included in Zoomdata release version 1.4.4, which includes


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Citrix Moves Data to Amazon Redshift Fast with Matillion ETL

Amazon Web Services, Inc

Citrix, a Fortune 1000 multinational software company, needed to migrate massive amounts of data generated by its FileShare platform to Amazon Redshift, where it could perform data analytics to help inform product improvements and drive success. To do this, Citrix needed an Extract, Transform, and Load (ETL) solution. Matillion ETL, easily deployable from Amazon Web Services (AWS) Marketplace, helps Citrix collate and summarize data and augment it with more traditional business data from Microsoft SQL Server for additional context. Join our webinar to learn how organizations of any size can move data to the cloud quickly, accurately, and affordably with Matillion ETL.
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Demystifying Security Analytics: Data, Methods, Use Cases

Many vendors sell "security analytics" tools. Alternatively, some organizations build their own security analytics capabilities using big data technologies and approaches. How do you find the right approach for your organization and benefit from this analytics boom?
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SAP HANA : Future of Data Warehousing and Bigdata Analytics

SAP HANA

Webinar will discuss about: History and present of SAP Business Model. Overview of Technology underlying SAP HANA (In Memory Computing) , Bigdata, Space for Analytics. SAP HANA Modelling Environment (Architecture + Setting up Environment). Data warehousing Models (Star schema + concept of master data). Basic Graphical Views (attribute, analytical and calculation Views). Data base operation in Hana tool.
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Top Business Intelligence Trends for 2016 by Panorama Software

Panorama Software

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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