Visual Analytics & In-Memory Processing
summary
SAS launches an in‑memory Visual Analytics stack that leverages a shared cluster to exploit an abundance of compute power, signs up over a thousand customers in the first year, and focuses on the full pipeline: data cleansing, joining disparate datasets, iterating models, and deploying results to web pages. The engine automatically runs multiple forecasting methods in parallel and selects the best diagnostics, with early traction in finance and surprising uptake in government and potential in healthcare.
AI-written summary · about
related talks
46mExplorations in Interactive Visual Analytics
06mHANA and Real-Time Insights
04mAmit Satoor from SAP interviewed at Strata Rx 2013
50mFast Analytics On Big Data
40mVisual Analysis for Data Science
49mAnalytics in SQL Server and Azure SQL Database
42mInteractive Data Analysis: Visualization and Beyond
19mInsights for Everyone - Democratising Analytics