SAS® Lösungen für Hadoop
Hadoop für Big Data. SAS® für alles andere.
89 % sehen in Hadoop eine Chance für Innovation*. Sie auch?
SAS bietet alles, was Sie brauchen, um den größtmöglichen Nutzen aus Big Data zu ziehen. Umfangreiches Datenmanagement erleichtert zeitaufwändige Datenaufbereitung. Visuelle Daten-Discovery hilft Ihnen dabei, schnell wertvolle Erkenntnisse zu generieren. In-Memory-Analytik und maschinelles Lernen führen zu ausgereiften Antworten.
*Quelle: TDWI Best Practices Report 2015, Hadoop for the Enterprise, von Philip Russom.
SAS Insights, your source for top big data news, views and best practices.
- Modern manufacturing's triple play: Digital twins, analytics and IoT Using exact duplicates to manage complex systems dates to NASA’s early moon missions. Today, IoT is key to implementing digital twin technology in manufacturing.
- 5 ways to measure beehive health with analytics and hive-streaming dataThis analytical approach to understanding bee hive health can automatically alert beekeepers to changes in hive weights, temperatures, flight activity and more.
- Edge computingWith traditional methods, data is captured, stored and analyzed later – limiting how quickly businesses can act on insights from the data. With edge computing, IoT data is processed at the edge of a network – right where it’s created or collected – avoiding delays and enabling real-time processing and action.
- IT/OT convergence: The dilemma of the IoT perception gapThe IoT phenomenon demands intimate collaboration between information technology (IT) and operational technology (OT). But IT and OT have distinct gaps in perception about the goals and outcomes of IoT initiatives. Tom Bradicich explains why IT/OT convergence is essential for successful IoT projects.
Was braucht man, um Hadoop erfolgreich einzusetzen? Unsere Checkliste in acht Schritten beinhaltet unter anderem Datenaufbereitung, In-Memory-Analyse und Datenvisualisierung.
What People Are Saying
"Our goal was to analyze growing volumes of network and customer data with greater speed, in seconds instead of minutes, accelerating the decision-making process. Hadoop and SAS have provided that ability."
"Organizations who are already invested in SAS – or organizations looking to add a robust Hadoop component – would do well to consider the SAS suite of Hadoop-related solutions."
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