Enabling real-time analytics on IBM z Systems platform:
Regarding online transaction processing (OLTP) workloads, IBM® z Systems™ platform, with IBM DB2®, data sharing, Workload Manager (WLM), geoplex, and other high-end features, is the widely acknowledged leader. Most customers now integrate business analytics with OLTP by running, for example, scoring...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Körperschaft: | |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Poughkeepsie, NY
IBM Corporation, International Technical Support Organization
2016
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| Ausgabe: | First edition (August 2016). |
| Schriftenreihe: | IBM redbooks
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| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9780738441863/?ar |
| Zusammenfassung: | Regarding online transaction processing (OLTP) workloads, IBM® z Systems™ platform, with IBM DB2®, data sharing, Workload Manager (WLM), geoplex, and other high-end features, is the widely acknowledged leader. Most customers now integrate business analytics with OLTP by running, for example, scoring functions from transactional context for real-time analytics or by applying machine-learning algorithms on enterprise data that is kept on the mainframe. As a result, IBM adds investment so clients can keep the complete lifecycle for data analysis, modeling, and scoring on z Systems control in a cost-efficient way, keeping the qualities of services in availability, security, reliability that z Systems solutions offer. Because of the changed architecture and tighter integration, IBM has shown, in a customer proof-of-concept, that a particular client was able to achieve an orders-of-magnitude improvement in performance, allowing that client's data scientist to investigate the data in a more interactive process. Open technologies, such as Predictive Model Markup Language (PMML) can help customers update single components instead of being forced to replace everything at once. As a result, you have the possibility to combine your preferred tool for model generation (such as SAS Enterprise Miner or IBM SPSS® Modeler) with a different technology for model scoring (such as Zementis, a company focused on PMML scoring). IBM SPSS Modeler is a leading data mining workbench that can apply various algorithms in data preparation, cleansing, statistics, visualization, machine learning, and predictive analytics. It has over 20 years of experience and continued development, and is integrated with z Systems. With IBM DB2 Analytics Accelerator 5.1 and SPSS Modeler 17.1, the possibility exists to do the complete predictive model creation including data transformation within DB2 Analytics Accelerator. So, instead of moving the data to a distributed environment, algorithms can be pushed to the data, using cost-efficient DB2 Accelerator for the required resource-intensive operations. This IBM Redbooks® publication explains the overall z Systems architecture, how the components can be installed and customized, how the new IBM DB2 Analytics Accelerator loader can help efficient data loading for z Systems data and external data, how in-database transformation, in-database modeling, and in-transactional real-time scoring can be used, and what other related technologies are av... |
| Beschreibung: | "Analytics; z Systems.". - Number on back cover: SG24-8272-00. - Description based on online resource; title from cover (viewed August 26, 2016) |
| Umfang: | 1 Online-Ressource (1 volume) illustrations. |
| ISBN: | 0738441864 9780738441863 |
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| spelling | Parziale, Lydia VerfasserIn aut Enabling real-time analytics on IBM z Systems platform Lydia Parziale [and six others] First edition (August 2016). Poughkeepsie, NY IBM Corporation, International Technical Support Organization 2016 1 Online-Ressource (1 volume) illustrations. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IBM redbooks "Analytics; z Systems.". - Number on back cover: SG24-8272-00. - Description based on online resource; title from cover (viewed August 26, 2016) Regarding online transaction processing (OLTP) workloads, IBM® z Systems™ platform, with IBM DB2®, data sharing, Workload Manager (WLM), geoplex, and other high-end features, is the widely acknowledged leader. Most customers now integrate business analytics with OLTP by running, for example, scoring functions from transactional context for real-time analytics or by applying machine-learning algorithms on enterprise data that is kept on the mainframe. As a result, IBM adds investment so clients can keep the complete lifecycle for data analysis, modeling, and scoring on z Systems control in a cost-efficient way, keeping the qualities of services in availability, security, reliability that z Systems solutions offer. Because of the changed architecture and tighter integration, IBM has shown, in a customer proof-of-concept, that a particular client was able to achieve an orders-of-magnitude improvement in performance, allowing that client's data scientist to investigate the data in a more interactive process. Open technologies, such as Predictive Model Markup Language (PMML) can help customers update single components instead of being forced to replace everything at once. As a result, you have the possibility to combine your preferred tool for model generation (such as SAS Enterprise Miner or IBM SPSS® Modeler) with a different technology for model scoring (such as Zementis, a company focused on PMML scoring). IBM SPSS Modeler is a leading data mining workbench that can apply various algorithms in data preparation, cleansing, statistics, visualization, machine learning, and predictive analytics. It has over 20 years of experience and continued development, and is integrated with z Systems. With IBM DB2 Analytics Accelerator 5.1 and SPSS Modeler 17.1, the possibility exists to do the complete predictive model creation including data transformation within DB2 Analytics Accelerator. So, instead of moving the data to a distributed environment, algorithms can be pushed to the data, using cost-efficient DB2 Accelerator for the required resource-intensive operations. This IBM Redbooks® publication explains the overall z Systems architecture, how the components can be installed and customized, how the new IBM DB2 Analytics Accelerator loader can help efficient data loading for z Systems data and external data, how in-database transformation, in-database modeling, and in-transactional real-time scoring can be used, and what other related technologies are av... IBM Database 2 Commercial statistics International Business Machines Corporation. International Technical Support Organization, MitwirkendeR ctb |
| spellingShingle | Parziale, Lydia Enabling real-time analytics on IBM z Systems platform IBM Database 2 Commercial statistics |
| title | Enabling real-time analytics on IBM z Systems platform |
| title_auth | Enabling real-time analytics on IBM z Systems platform |
| title_exact_search | Enabling real-time analytics on IBM z Systems platform |
| title_full | Enabling real-time analytics on IBM z Systems platform Lydia Parziale [and six others] |
| title_fullStr | Enabling real-time analytics on IBM z Systems platform Lydia Parziale [and six others] |
| title_full_unstemmed | Enabling real-time analytics on IBM z Systems platform Lydia Parziale [and six others] |
| title_short | Enabling real-time analytics on IBM z Systems platform |
| title_sort | enabling real time analytics on ibm z systems platform |
| topic | IBM Database 2 Commercial statistics |
| topic_facet | IBM Database 2 Commercial statistics |
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