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count query published presentations and documents on DocSlides.

ICICLES: Self-tuning Samples for Approximate Query Answerin
ICICLES: Self-tuning Samples for Approximate Query Answerin
by ellena-manuel
By . Venkatesh. . Ganti. , . Mong. Li Lee, and ...
Under The Hood Of Query TransformationsJoe SeneganikOracle ACE Directo
Under The Hood Of Query TransformationsJoe SeneganikOracle ACE Directo
by everly
nrrnrrAbout the SpeakerJoe Seneganik Registered pr...
Exploring Web Scale Language Models for Search Query Proces
Exploring Web Scale Language Models for Search Query Proces
by lindy-dunigan
Jianfeng Gao, MSR. (Joint work with . Jian. Huan...
SCOPE Easy and Efficient Parallel Processing of Massive Data Sets
SCOPE Easy and Efficient Parallel Processing of Massive Data Sets
by adah
Adapted from a talk by. : . Sapna. Jain & R. ...
SCOPE: Easy and Efficient Parallel Processing of Massive D
SCOPE: Easy and Efficient Parallel Processing of Massive D
by lindy-dunigan
Jingren Zhou. Microsoft Corp.. Large-scale Distri...
Program Transformation for Asynchronous Query Submission
Program Transformation for Asynchronous Query Submission
by lois-ondreau
Mahendra. . Chavan. *. , . Ravindra. . Guravann...
Differential Privacy on Linked Data: Theory and Implementat
Differential Privacy on Linked Data: Theory and Implementat
by stefany-barnette
Yotam. . Aron. Table of Contents. Introduction. ...
SCOPE
SCOPE
by ellena-manuel
. Easy and Efficient Parallel Processing of Mass...
Properly Incenting Academia
Properly Incenting Academia
by alexa-scheidler
(or, how to resist quitting my day job). Mike Car...
Holistic Optimization of Database Applications
Holistic Optimization of Database Applications
by test
S. Sudarshan, IIT Bombay. Joint work with: . ...
Part 4: Data Dependent Query Processing Methods
Part 4: Data Dependent Query Processing Methods
by briana-ranney
Yin “David” Yang .  . Zhenjie. Zhang. . ...
CrowdLogging : Distributed, private, and anonymous search logging
CrowdLogging : Distributed, private, and anonymous search logging
by marina-yarberry
Henry Feild. James Allan. Joshua . Glatt. Center ...
Christopher Re and Dan Suciu
Christopher Re and Dan Suciu
by tatyana-admore
University of Washington. Efficient Evaluation of...
CS573 Data Privacy and Security
CS573 Data Privacy and Security
by rodriguez
Statistical Databases. Li . Xiong. Today. Statisti...
Streaming Algorithm
Streaming Algorithm
by ellena-manuel
Presented by: Group 7. Advanced Algorithm. Nation...
ASTERIX
ASTERIX
by min-jolicoeur
:. Towards a Scalable, . Semistructured. Data Pl...
DBridge: A program rewrite tool for
DBridge: A program rewrite tool for
by danika-pritchard
set-oriented query execution. Mahendra. . Chavan...
ASTERIX
ASTERIX
by stefany-barnette
:. Towards a Scalable, . Semistructured. Data Pl...
ASTERIX
ASTERIX
by marina-yarberry
:. Towards a Scalable, . Semistructured. Data Pl...
Various Sketching Techniques
Various Sketching Techniques
by yoshiko-marsland
Dylan Gray. CS 240B. Outline. Distinct Count Meth...
ASTERIX : Towards a Scalable,
ASTERIX : Towards a Scalable,
by jane-oiler
Semistructured. Data Platform for Evolving-Worl...
CIS 700: “algorithms for Big Data”
CIS 700: “algorithms for Big Data”
by mitsue-stanley
Grigory. . Yaroslavtsev. http://grigory.us. Lect...
Advanced SQL Nested aggregate queries
Advanced SQL Nested aggregate queries
by mitsue-stanley
Advanced SQL Nested aggregate queries 1 Microsoft...
Database Access Control
Database Access Control
by Ruggedman
& . Privacy: Is There A Common Ground?. Suraji...
The Budget Issues Committee Presents:
The Budget Issues Committee Presents:
by conchita-marotz
Position Count and FTE Definition and Calculation...
Extensible Distributed Tracing from Kernels to Clusters
Extensible Distributed Tracing from Kernels to Clusters
by ellena-manuel
Úlfar Erlingsson, Google Inc.. Marcus . Peinado....
Lecture 9
Lecture 9
by yoshiko-marsland
Database Security. modified from slides of . Lawr...
Extensible Distributed Tracing from Kernels to Clusters
Extensible Distributed Tracing from Kernels to Clusters
by jane-oiler
Úlfar Erlingsson, Google Inc.. Marcus . Peinado....
SQL Review
SQL Review
by sherrill-nordquist
Example Schema. We will use these table definitio...
SQL Tuning tips and tricks
SQL Tuning tips and tricks
by test
. Agenda. Using the right tools. Functions, frie...
Modular SDN Programming w/ Pyretic
Modular SDN Programming w/ Pyretic
by giovanna-bartolotta
Joshua Reich. Princeton University. www.frenetic-...
Christopher Re and Dan
Christopher Re and Dan
by marina-yarberry
Suciu. University of Washington. Efficient Evalua...
Conquering the Statistical Landscape
Conquering the Statistical Landscape
by pasty-toler
One Institution’s Approach. Statistical Reporti...
Menu Driven Querying in
Menu Driven Querying in
by calandra-battersby
PCORnet. June 2016. 1. What is MDQ?. MDQ stands f...
SQL SQL Introduction Standard language for querying and manipulating data
SQL SQL Introduction Standard language for querying and manipulating data
by natalia-silvester
. S. tructured . Q. uery . L....
04 | Grouping and Aggregating Data
04 | Grouping and Aggregating Data
by sherrill-nordquist
Brian Alderman | MCT, CEO / Founder of MicroTechP...
Lecture 8 ( cont ) Database Security
Lecture 8 ( cont ) Database Security
by yoshiko-marsland
modified from slides of . Lawrie. Brown. Databas...
Assignment #2 SQL Part 1
Assignment #2 SQL Part 1
by patricia
Solution Key. Details You May Miss in SQL. Items t...