Abstract: The present teaching relates to streaming data querying and providing query results. In one example, a query is received for events happening after receipt of the query. A plurality of data records are obtained, where each of the data records corresponds to an event happening after receipt of the query. For each of the plurality of data records, it is determined whether the data record matches the query. Based on the determining, one or more query results are determined and provided as a response to the query.

Abstract: Users may interact with a multitude of content on content sources. Content sources may desire to identify sessions that the user created. As provided herein, a user interacting with a content source may be identified. Source data and session data regarding the user interaction may be extracted. A data pipeline may be generated based upon the source data and the session data. The data pipeline may be sessionized into a single data feed based upon a finished current events interval (e.g., sessions that are activated and terminated during a first interval), a finished last events interval (e.g., sessions that are activated during the first interval and terminated during a second interval), a second finished current events interval (e.g., sessions that are activated and terminated during the second interval), and/or a second finished last events interval (e.g., sessions that are activated during the second interval and terminated during a third interval).

Abstract: The present teaching relates to streaming data querying and providing query results. In one example, a query is received for events happening after receipt of the query. A plurality of data records are obtained, where each of the data records corresponds to an event happening after receipt of the query. For each of the plurality of data records, it is determined whether the data record matches the query. Based on the determining, one or more query results are determined and provided as a response to the query.

Abstract: Users may interact with a multitude of content on content sources. Content sources may desire to identify sessions that the user created. As provided herein, a user interacting with a content source may be identified. Source data and session data regarding the user interaction may be extracted. A data pipeline may be generated based upon the source data and the session data. The data pipeline may be sessionized into a single data feed based upon a finished current events interval (e.g., sessions that are activated and terminated during a first interval), a finished last events interval (e.g., sessions that are activated during the first interval and terminated during a second interval), a second finished current events interval (e.g., sessions that are activated and terminated during the second interval), and/or a second finished last events interval (e.g., sessions that are activated during the second interval and terminated during a third interval).