Critical Mass Data Safety and Protection with GPDR at Large Scale
关于我们
Tanzu Greenplum? is an advanced, fully featured data warehouse. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum Database? is powered by the world’s most advanced cost-based query optimizer delivering high analytical query performance on large data volumes.
- 网站
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https://www.vmware.com/products/app-platform/tanzu-greenplum
VMware Tanzu Greenplum的外部链接
- 所属行业
- 软件开发
- 规模
- 超过 10,001 人
- 总部
- Palo Alto,CA
- 类型
- 上市公司
- 创立
- 2003
- 领域
- data warehousing、analytics、database、business intelligence、data science、big data、hadoop、NoSQL、MapR、predictive analtyics、high-perfomance database、software、data computing appliance、data science services和applications
地点
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主要
3495 Deer Creek Rd
US,CA,Palo Alto,94304
VMware Tanzu Greenplum员工
动态
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Tanzu Greenplum 7.4 Release Announcement Ring the Bell!!! Max Innovation and Performance https://lnkd.in/gU98pUAK https://lnkd.in/gquT3VgV
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Greenplum Automated Machine Learning Agent (gpMLBot) was introduced to Greenplum in 2024. gpMLBot is an Auto-ML feature integrated natively into Greenplum. https://lnkd.in/dzK_wgAh What is AutoML? With dozens of available Machine Learning algorithms available in Greenplum and each algorithm contains numerous paramters that can contain both discrete and gradients of values. There are thousands of combinations of ML algorithms and parameters that can be tuned to find the optimized ML model to do predictive analytics on your data. This bot comes with Greenplum, runs on the system system, and uses the same infrastructure as Greenplum, which means you dont need to buy any new hardware or software, you can just start using it with Greenplum. The bot accellerates the user's time to production from data to a predictive ML model built in Greenplum. The model can be used to score new data sets in Greenplum and can also be used to export the trained model to your microservice or application at the edge. For example, customer X is a online payments company. Accounts can be opened using an online form. However some scammers try to open fake accounts in order to create fraud. The payment company can use historical data about account opening attempts and long term closing and fraud of the account to help prevent new fake accounts from being opened. The data is stored in Greenplum and then using gpMLBot a model is trained that can predict fraud to a high degree of accuracy. Using the export function the model is exported to PMML open format and then deployed as a microservice outside of Greenplum and integrated to the account opening feature to help prevent fraud in real time. This is just one example. Give the feature a try and connect with your Greenplum representative to give feedback, ideas and or get some help with your model creation.
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Staying Ahead of Fraud, Waste and Abuse: Leveraging VMware Tanzu Data Services https://lnkd.in/gPSjc6Qh
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NTT Communications (Japan) Billing System powered by Greenplum https://lnkd.in/grRgYGJj Thanks @machin
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Greenplum 7.2 has been released! https://lnkd.in/g7EittE2 Performance, Performance, Performance, Geospatial, DR and More
Greenplum 7.2 Release Announcement and Deep Dive
https://www.youtube.com/
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Geospatial Intelligence with PostgreSQL and Greenplum Webinar https://lnkd.in/gjxKK_6M