Microsoft Technology Licensing, LLC

Anand Bheemarajaiah

Marius Dumitru

Howard J Dickerman

Krishnan Srinivasan

Xiaoqing Tang

Srinivasan S Turuvekere

Manas Garg

Yutong Wang

Sandeep Prabhu

In various embodiments, methods and systems for cross-filtering based on configurable direct relationships are provided. A selection of a first endpoint of a first table and a second endpoint of a second table is received. A direct relationship object is configured between the first table and the second table based on the first endpoint and the second endpoint. A cross-filtering direction and endpoint cardinality settings can also be configured for the direct relationship object. The direct relationship object may be configured as a many-to-one, one-to-many, or one-to-one. Automatic cross-filtering is configurable and can be set to cross-filter in one direction, the reverse direction, or both directions, with bidirectional cross filtering being a default configuration. The direct relationship object between the first endpoint and the second is configurable, such that, cross-filtering the first table and the second table to select rows for cross-filtering results is based on the cross-filtering direction.

Bidirectional cross-filtering in analysis service systems

A scalable data feed system is disclosed. The data feed system may be offered as a cloud service that can serve many enterprises or tenants that require data to be pulled from information sources such as FTP, POP3, databases, line of business systems, a topic subscription, or an RSS feed, and pushed the data to information sinks, such as SMTP, email, FTP, mobile phones, and other devices and services. A pull agent pumps data from pull sources and pushes the data out to push agent counterparts. The push agent transforms and sends the data in messages to push sink, such as FTP, SMTP, or a mobile device. Both the pull agent and the push agent services are implemented as replicated services over a structured overlay network for high availability that can serve multiple requests to pump out data from multiple pull sources and push the data to multiple information sinks.

Scalable data feed system

Growing community of inventors

Redmond, WA, United States of America

Anand Bheemarajaiah