White Paper Chapters
Chapter 1
The Evolution of ApplicationsAs technology evolves, enterprise applications have matured from storing data to delivering analysis, and now predicting the future.
Chapter 2
Examples of Predictive ApplicationsFrom the factory floor to the ER, predictive applications make a real-world impact for the companies that deploy them.
Chapter 3
How OLPP Powers Predictive ApplicationsPredictive apps combine past history, real-time data from the present, and forward-looking planning, all in a single OLPP system.
Chapter 4
OLPP ArchitectureTo power OLPP workloads, a predictive application platform eliminates latency and complexity at an architectural level.
Chapter 5
What is Splice Machine?Splice Machine is a scale-out SQL RDBMS specifically designed to power predictive applications and run OLPP workloads.
Chapter 6
Why Predictive Applications Require ACIDWhat-if planning systems require transactional ACID properties to be able to handle critical line item updates without failure.
Chapter 7
Tightly-Coupled Analytics with SparkSplice Machine gives data engineers and scientists access to data from Spark through Scala and Python as well as notebooks.
Chapter 8
Flexible Deployment OptionsSplice Machine offers flexible deployment options for customers, either on-premise in their own cluster or in the cloud as a SaaS.
Are You Ready to Close the Predictive Gap?
Download the entire guide to Online Predictive Processing (OLPP) and learn how OLPP systems like Splice Machine are uniquely capable of powering predictive applications for supply chain, healthcare, financial services, retail and marketing companies that need to go beyond predictive analytics to succeed.
