In Database Predictive Analytics from Angoss on Microsoft Analytics Platform System

In Database Predictive Analytics from Angoss on Microsoft Analytics Platform System : Angoss in-database drivers for predictive analytics are now embedded within the Microsoft Analytics Platform System allowing users to analyze data directly within their database without having to export it, and to deploy predictive models directly within the appliance. Angoss is a key predictive analytics vendor with an in-database analytics driver that supports Microsoft Analytics Platform System. This helps overcome the usual challenges of moving data from one environment to another in a Big Data world, and optimizes the process of analytic data preparation, data profiling, model development and scoring, allowing analysts to take full advantage of the Big Data datasets contained within Analytics Platform System. In-database analytics enables IT and analysts to be more productive and responsive to the growing demands from business decision makers and analytics-based decision making processes. This solution aims to help businesses overcome their usual challenges of managing huge data volumes while optimizing analytical model development and deployment environments.

The Microsoft Analytics Platform System is a turnkey big data analytics appliance, combining massively parallel processing (MPP) data warehouse technology, the SQL Server Parallel Data Warehouse (PDW) together with HDInsight, the Apache Hadoop distribution.

The improvements enabled by in database analytics include leveraging the APS investment and massive parallel processing by running data mining algorithms on managed databases deployed on your most powerful servers. Building models using extremely large datasets created within the APS platform that takes the advantage of both structured and non-relational data, all within a single appliance. This also lets maintain a central data repository for analytics, promoting standardization for modellers and BI users and reduce delay between data acquisition, preparation, and analysis by keeping everything within a single environment

“We are pleased to work with Microsoft to support the many companies that are looking to manage data preparation and modeling inside of their database without having to move data from one environment to another” said Bill Sheldon, Chief Solutions Officer, Angoss. “In-database drivers in Microsoft Analytics Platform System allows organizations to quickly and effectively apply predictive analytics against massive amounts of customer and business data resident within Analytics Platform System, and make the insight from big data available to the masses.”

“Adding in-database predictive analytic capabilities within our Analytic Platform System will allow customers to better utilize the power of the Big Data that Analytics Platform System allows them to collect, consolidate and analyze in ways they can’t effectively do today,” said Barb Edson, General Manager, Data Platform at Microsoft. “In an IoT world, the combination of in-database analytics which can be executed on top of relational and non-relational data in a single, scalable appliance which unifies Hadoop non-relational data within an MPP relational data warehouse, allows customers to finally realize the Big Data promise in near real time.”

In-database analytics takes predictive modeling and analysis to the next level by providing an efficient way for organizations to enhance their data exploration capabilities through an optimized analytical processing environment—within the database—to accelerate decision making and identify opportunities they can act on. The technology from Angoss, now available in Microsoft Analytics Platform System, will enable companies to make better predictions about future business risks and opportunities, identify trends, and spot anomalies to make informed decisions more efficiently and affordably while staying within the database and ahead of the competition.