Dr Holdco 2, Inc.

Paxata, Inc.

Nenshad Dinshaw Bardoliwalla

Dave Brewster

Jing Chen

Victor Tze-Yeuan Tso

Lilia Gutnik

Michael Matthews

Whitman Kwok

Ian Timourian

Quan Chuong Ta

Lakshman Roy Sankar

Amnon Levy

Pakshi Rajan

Krupa Natarajan

Ashley Jin

Using a step editor for data preparation includes: receiving an indication of a user input with respect to at least some of a set of sequenced data preparation operations on a set of data; generating, using one or more processors, a signature based at least in part on the set of sequenced data preparation operations, references to the set of data, and the user input; using the generated signature to determine whether there exists a cached result associated with the set of sequenced data preparation operations, the references to the set of data, and the user input; based at least in part on the determination, obtaining a data traversal program representing a result associated with the set of sequenced operations, the references to the set of data, and the user input; and providing output based at least in part on the result represented by the obtained data traversal program.

Step editor for data preparation

Navigating to a data preparation context is disclosed. A set of data preparation operations is performed on one or more data sets to generate a set of answer sets in a first application. A final answer set in the set of answer sets is provided to a second application. In response to a user specification of a source-related query, a reference associated with the source-related query is obtained. A corresponding subset of the set of answer sets associated with one or more corresponding or relevant data preparation operations is determined according to the obtained reference. The corresponding subset of the set of answer sets associated with the one or more data preparation operations are presented in the first application according to the obtained reference.

Data preparation context navigation

Using a step editor for data preparation includes receiving an indication of a user input with respect to at least some of a set of sequenced data preparation operations on a set of data. It further includes generating, using one or more processors, a signature based at least in part on the set of sequenced data preparation operations, references to the set of data, and the user input. It further includes using the generated signature to determine whether there exists a cached result associated with the set of sequenced data preparation operations, the references to the set of data, and the user input. It further includes based at least in part on the determination, obtaining a data traversal program representing a result associated with the set of sequenced operations, the references to the set of data, and the user input. It further includes providing output based at least in part on the result represented by the obtained data traversal program.

Automated join detection includes: identifying a set of one or more candidate joins of a first table and a second table; evaluating a set of one or more quality measures corresponding to the set of one or more candidate joins; obtaining a set of one or more selected joins among the set of one or more candidate joins, the set of one or more selected joins being selected based at least in part on one or more corresponding quality measures; and generating a joined table, including by joining the first table and the second table according to a selected join.

Automated join detection

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Castro Valley, CA, United States of America

Nenshad Dinshaw Bardoliwalla