Aakash Deepak Kambuj

US Patent:

20050187980, Aug 25, 2005

Filed:

Feb 10, 2004

Appl. No.:

10/776371

Inventors:

Peter Carlin - Seattle WA, US
Jose Blakeley - Redmond WA, US
Balaji Rathakrishnan - Sammamish WA, US
Beysim Sezgin - Redmond WA, US
Mason Bendixen - Kirkland WA, US
Xiaowei Jiang - Bellevue WA, US
Aakash Kambuj - Kirkland WA, US
Alazel Acheson - Redmond WA, US

International Classification:

G06F007/00

US Classification:

707200000

Abstract:

The present invention the is directed to systems and methods for hosting the CLR in a DBMS in order to achieve reliability, scalability, security, and robustness for enabled DBMS programming features. Integrating the CLR with a DBMS enables programming features in the database such as stored procedures, functions, triggers, types, and aggregates to be written in any of the programming languages that are compiled into IL code supported by the CLR. For the various embodiments of the present invention, the CLR is hosted inside the DBMS and, instead of making requests directly to the server operating system, the CLR instead interfaces with the DBMS via DBMS APIs for such requests, and only the DBMS directly interfaces with the server operating system to access the server.

US Patent:

20090241134, Sep 24, 2009

Filed:

Mar 24, 2008

Appl. No.:

12/054355

Inventors:

Stephen T. Garrity - Kirkland WA, US
Michael Steven Vernal - San Francisco CA, US
Aakash D. Kambuj - Kirkland WA, US
Vladimir Dmitri Fedorov - Bellevue WA, US
Ryan C. Bergauer - Redmond WA, US

Assignee:

MICROSOFT CORPORATION - Redmond WA

International Classification:

G06F 3/00

US Classification:

719328

Abstract:

Techniques are disclosed to provide an application programming interface to access data stored in a remote storage service. The data may be of any type, and is stored in core objects.

US Patent:

20130013561, Jan 10, 2013

Filed:

Jul 8, 2011

Appl. No.:

13/178748

Inventors:

Kevin Andrew Chan - Duvall WA, US
Bruce Wayne Copeland - Redmond WA, US
Aakash Kambuj - Seattle WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 17/30

US Classification:

707636, 707825, 707E17009, 707E17032

Abstract:

One or more techniques and/or systems are disclosed for efficiently storing metadata of partitioned data (e.g., directed to a specific individual/user). A first subset of data is identified from the set of partitioned data. The first subset of data comprises data that has a high frequency of access, and may be identified, at least in part, by frequency of access metadata that is associated with the data in the set. Metadata, such as discovery information, permissions, version info, etc., that is associated with the data in the first subset can be stored in low latency (e.g., fast) storage, proving more efficient access. Metadata associated with data from the set of partitioned data that is not in the first subset (e.g., that is not accessed frequently) can be stored in higher latency (e.g., slower, less expensive) storage.

US Patent:

20050177556, Aug 11, 2005

Filed:

Feb 10, 2004

Appl. No.:

10/776895

Inventors:

Jun Fang - Sammamish WA, US
Aakash Kambuj - Kirkland WA, US
Evgueni Zabokritski - Redmond WA, US
Honggang Zhang - Bellevue WA, US
Peter Carlin - Seattle WA, US

International Classification:

G06F007/00

US Classification:

707003000

Abstract:

The SQL Algebrizer of the present invention comprises a plurality of algorithms to “algebrize” SQL Trees to QP Algebra using an approach that is more consistent and much more efficient than typical algebrizers. More specifically, the Algebrizer of the present invention processes a SQL Tree using a reduced number of recursive depth-first passes by performing multiple operations in a single pass. Furthermore, the Algebrizer of the present invention also performs the operation of constant folding in this single, multi-operation pass so that the QP, upon receiving the QP Algebra, needs not perform this operation at all.

US Patent:

20190205413, Jul 4, 2019

Filed:

Dec 28, 2017

Appl. No.:

15/857009

Inventors:

- San Francisco CA, US
Anna Geiduschek - San Francisco CA, US
Aakash Kambuj - Seattle WA, US
Raveesh Nayar - San Francisco CA, US
Sam Stafford - San Francisco CA, US

International Classification:

G06F 17/30

Abstract:

Aspects of the subject technology relate to ways to avoid file duplication in a cloud storage service. In some aspects, a method of the technology includes steps for retrieving, via a computer network, one or more files from a first memory location, identifying a first signature and a second signature for each of the files, and storing the first signature and the second signature into a duplication reference list. In some aspects, the method further includes steps for analyzing files in a second memory location to identify duplicate files using the duplication reference list. Systems and computer-readable media are also provided.