Celestine Joseph from 4850 156Th Ave, Redmond, WA 98052, age 56, Phone: (425)7020483

Medicine Doctors

Celestine M. Joseph

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Specialties:

Obstetrics & Gynecology, Plastic Surgery

Work:

Celestine M Joseph MD
1104 S Linden Rd STE 1, Flint, MI 48532
(810)7336210 (phone), (810)7337055 (fax)

Education:

Medical School
Univ of Colombo, Fac of Med, Colombo, Sri Lanka
Graduated: 1967

Procedures:

D & C Dilation and Curettage
Hysterectomy
Tubal Surgery
Vaginal Delivery

Conditions:

Conditions of Pregnancy and Delivery
Abnormal Vaginal Bleeding
Acute Sinusitis
Acute Upper Respiratory Tract Infections
Breast Disorders

Languages:

English

Description:

Dr. Joseph graduated from the Univ of Colombo, Fac of Med, Colombo, Sri Lanka in 1967. He works in Flint, MI and specializes in Obstetrics & Gynecology and Plastic Surgery. Dr. Joseph is affiliated with Hurley Medical Center.

Celestine Michael Joseph

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Specialties:

Obstetrics & Gynecology
Gynecology
Obstetrics

Education:

University Of Colombo (1967)

Resumes

Celestine Joseph

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Location:

Sammamish, WA

Industry:

Computer Software

Work:

Microsoft
Senior S and W Development Engineer at Microsoft
Microsoft
Senior S and W Devlopment Engineer

Skills:

Security

Celestine Joseph

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Us Patents

Indirect Database Queries With Large Olap Cubes
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US Patent:

20100235345, Sep 16, 2010
Filed:

Mar 13, 2009
Appl. No.:

12/403501
Inventors:

Celestine Joseph - Snoqualmie WA, US
Joyce Behrendt - Issaquah WA, US
Joshua Chait Caplan - Bellevue WA, US
Assignee:

MICROSOFT CORPORATION - Redmond WA
International Classification:

G06F 17/30
US Classification:

707713, 707E17014, 707E17045, 707603, 707720
Abstract:

A large OLAP cube includes data and dimensions not required for a particular query, or for a collection of queries. A response to a query is generated by using the large OLAP cube rather than using an OLAP cube tailored to the query, and rather than querying the relational database directly. The large OLAP cube may be created after identifying a set of frequently sought data and/or filters used in queries to the relational database. Data may be staged by creating a smaller OLAP cube with data extracted from the large OLAP cube. The cubes may then be queried, browsed, and used to prepare reports or generate flat files.