- San Francisco CA, US Isabelle Park - San Mateo CA, US Joshua Walters - Santa Clara CA, US Eric Tschetter - Redwood City CA, US Simon Fishel - San Francisco CA, US Horst Werner - San Mateo CA, US
International Classification:
G06F 17/30
Abstract:
Systems and methods are disclosed for analyzing multiple groups of ordered events having raw machine data associated with a timestamp. The events in a particular group of ordered events can be related based on a common field value for a particular field associated with a pivot identifier. Further, the events in a particular group of ordered events can be categorized based on one or more field values for field associated with a step identifier. One or more visualizations can be generated based on one or more of the groups of ordered events.
User Interface To Identify One Or More Pivot Identifiers And One Or More Step Identifiers To Process Events
- San Francisco CA, US Isabelle Park - San Mateo CA, US Joshua Walters - Santa Clara CA, US Eric Tschetter - Redwood City CA, US Simon Fishel - San Francisco CA, US
International Classification:
G06F 17/30 G06F 3/0482
Abstract:
Systems and methods are disclosed for generating a user interface to enable identification of one or more pivot identifiers and one or more step identifiers. The system executes a query on events having raw machine data associated with a timestamp and obtains fields associated with the events. The system further populates a graphical user interface with field identifiers associated with the obtained fields and enables identification of one or more fields as one or more pivot identifiers and one or more step identifiers.
User Interface And Process To Generate Journey Instance Based On One Or More Pivot Identifiers And One Or More Step Identifiers
- San Francisco CA, US Isabelle Park - San Mateo CA, US Joshua Walters - Santa Clara CA, US Eric Tschetter - Redwood City CA, US Simon Fishel - San Francisco CA, US
International Classification:
G06F 17/30 G06F 3/0483 G06F 3/0482 G06F 3/0484
Abstract:
Systems and methods are disclosed for generating one or more journey instances from events having raw machine data associated with a timestamp. The system generates a user interface that includes field identifiers associated with the plurality events for selection as one or more pivot identifiers and one or more step identifiers. Based on the one or more pivot identifiers, the system identifies related events that share a common field value, and based on the one or more step identifiers, the system groups the related events into a subset of events. Using the subset of events the system builds a journey instance.
Journey Instance Generation Based On One Or More Pivot Identifiers And One Or More Step Identifiers
- San Francisco CA, US Isabelle Park - San Mateo CA, US Joshua Walters - Santa Clara CA, US Eric Tschetter - Redwood City CA, US Simon Fishel - San Francisco CA, US
International Classification:
G06F 17/30
Abstract:
Systems and methods are disclosed for processing events having raw machine data associated with a timestamp using one or more pivot identifiers and one or more step identifiers to generate one or more journey instances. Based on the one or more pivot identifier field, the system can relate events that have a common field value for the pivot identifier field. Based on the one or more step identifiers, the system can groups the related events into a subset of events. Using the subset of events the system can build a journey instance.
Method And System For Detecting Gaps In Data Buckets For A/B Experimentation
- Sunnyvale CA, US Miao Chen - Sunnyvale CA, US Michael Natkovich - San Francisco CA, US Joshua Walters - Irvine CA, US
International Classification:
G06Q 10/10 G06N 7/00
Abstract:
The present teaching generally relates to detecting data bucket discrepancies associated with online experiments. In a non-limiting embodiment, a monitoring layer may be generated within an online experimentation platform that includes at least a first layer, and where a first online experiment is associated with the first layer, the monitoring layer includes a monitoring layer data bucket, and the first layer includes at least a first data bucket. First data representing user activity associated with a first plurality of identifiers may be obtained, the user activity being associated with the first layer. Second data representing at least one user engagement parameter may be generated, and a first discrepancy between the first and second data may be determined. The first discrepancy indicating a first amount of identifiers that include a first metadata tag associated with the first layer and lack a second metadata tag associated with the monitoring layer.
- Sunnyvale CA, US Michael Natkovich - San Francisco CA, US Joshua Walters - Irvine CA, US
International Classification:
H04L 29/08
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).
McDonald's - Cashier National Automotive Parts Association - Product Stocker
Education:
Umpqua Community Collage
About:
I can pretty much fix almost anything, I love Lego's, I am a big Sci-Fi fan, I think way too much, and i can remember almost every plot to every movie I have seen in my life. Oh and my life long d...
Tagline:
I can pretty much fix almost anything, I love Lego's, I am a big Sci-Fi fan, I think way too much, and i can remember almost every plot to every movie I have seen in my life. Oh and my life long dream is to fly like Iron Man. :D Oh, I'm also unemployed.. so, get me a job K? :D
Bragging Rights:
Full welding certification (all positions, all thickness), great teeth,
Joshua Walters
Lived:
Amsterdam, The Netherlands New York, NY San Francisco, CA
Work:
The Otherist - Owner (2006)
Joshua Walters
Education:
Atherton High School - AP, University of Louisville
Tagline:
Blissfully Lost
Joshua Walters
Work:
Wegmans Food Markets - Night stock (2010)
Education:
Kutztown University of Pennsylvania - Education
Joshua Walters
Education:
Foothill College - Radiologic Technology
Joshua Walters
About:
I am a New Mexican blogger, librarian, gardener, backyard chicken enthusiast, and yogi living in Durham, NC.