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Bar Tuples published presentations and documents on DocSlides.

Two-Pass Algorithms

Two-Pass Algorithms

  • pamella-moone
  • 15 Slides

Based on Sorting. SECTION 15.4. Rupinder. Singh...

CS61A Lecture 8

CS61A Lecture 8

  • test
  • 28 Slides

Data Abstraction. Tom Magrino and Jon Kotker. UC ...

SABRE: a Sensitive Attribute Bucketization and

SABRE: a Sensitive Attribute Bucketization and

  • alida-meadow
  • 28 Slides

REdistribution. framework for t-closeness. Autho...

Some indexing problems addressed by Amadeus,

Some indexing problems addressed by Amadeus,

  • pamella-moone
  • 31 Slides

Gaia . and . PetaSky. . projects. Sofian . Maabo...

Relational Database Management System

Relational Database Management System

  • cheryl-pisano
  • 17 Slides

A type of database in which records are stored in...

Monitoring streams:

Monitoring streams:

  • briana-ranney
  • 48 Slides

a new class of data management applications. Don ...

The Complexity of Causality and

The Complexity of Causality and

  • pasty-toler
  • 19 Slides

Responsibility. f. or Query Answers and non-Answe...

Publishing

Publishing

  • phoebe-click
  • 23 Slides

Microdata. with a Robust Privacy Guarantee. Jian...

Conditionals, Subsets and Tuples in GAMS

Conditionals, Subsets and Tuples in GAMS

  • tatyana-admore
  • 23 Slides

AGEC 641 Lab, Fall 2011. Mario Andres Fernandez. ...

Prime Constellations

Prime Constellations

  • karlyn-bohler
  • 21 Slides

By Matt Anderson. 4/9/2011. Prime numbers are int...

Haskell

Haskell

  • kittie-lecroy
  • 22 Slides

Dan Johnson. History in a Nutshell. Functional la...

Continuous Processing

Continuous Processing

  • debby-jeon
  • 59 Slides

of . Preference Queries . in . Data Streams : a S...

An Example Data Stream Management System: TelegraphCQ

An Example Data Stream Management System: TelegraphCQ

  • phoebe-click
  • 32 Slides

INF5100, Autumn . 2009. Jarle Søberg. INF5100, A...

Harikrishnan Karunakaran

Harikrishnan Karunakaran

  • pamella-moone
  • 31 Slides

Sulabha Balan. ICICLES: Self-tuning Samples for ...

For Wednesday

For Wednesday

  • calandra-battersby
  • 21 Slides

Read chapter 22, sections 1-3. No homework. Progr...

FEN 2015-08-31

FEN 2015-08-31

  • liane-varnes
  • 19 Slides

1. Introduction to the database field:. The Relat...

Chapter 6

Chapter 6

  • giovanna-bartolotta
  • 86 Slides

Notes. 6.1 Simple Queries in SQL. SQL is not usua...

Chapter 5

Chapter 5

  • luanne-stotts
  • 46 Slides

Notes. P. 189: Sets, Bags, and Lists . To underst...

Trust and Profit Sensitive Ranking for Web Databases and On

Trust and Profit Sensitive Ranking for Web Databases and On

  • phoebe-click
  • 54 Slides

Raju . Balakrishnan. . rajub@asu.edu. (PhD Disse...

ICICLES: Self-tuning Samples for Approximate Query Answerin

ICICLES: Self-tuning Samples for Approximate Query Answerin

  • tatiana-dople
  • 27 Slides

By Venkatesh Ganti, Mong Li Lee, and Raghu Ramakr...

ICICLES: Self-tuning Samples for Approximate Query Answerin

ICICLES: Self-tuning Samples for Approximate Query Answerin

  • ellena-manuel
  • 30 Slides

By . Venkatesh. . Ganti. , . Mong. Li Lee, and ...

An Overview of Data Provenance

An Overview of Data Provenance

  • calandra-battersby
  • 50 Slides

Why – How . – . Where. What’s up with this ...

What is it? What kind of system need it?

What is it? What kind of system need it?

  • alexa-scheidler
  • 32 Slides

Elasticity. Computing resource or storag...

Query Processing

Query Processing

  • tawny-fly
  • 24 Slides

A query is stated using SQL or other languages, i...

Deco Query Processing

Deco Query Processing

  • phoebe-click
  • 16 Slides

Hector Garcia-Molina, Aditya Parameswaran, Hyunju...

Query Optimization

Query Optimization

  • lindy-dunigan
  • 54 Slides

Query Optimization Process. (simplified a bit). P...

6.830 Lecture 7

6.830 Lecture 7

  • faustina-dinatale
  • 40 Slides

B+Trees. & Column Stores. 9/30/2015. Signup:...

Ripple Joins for Online Aggregation

Ripple Joins for Online Aggregation

  • tatiana-dople
  • 42 Slides

By:. Peter J. Haas and Joseph M. . Hellerstein....

Implementation of relational operations

Implementation of relational operations

  • natalia-silvester
  • 47 Slides

(based on slides from UC Berkeley). Join Operator...

Database Systems

Database Systems

  • briana-ranney
  • 53 Slides

Basic SQL. Database Design -- Basic SQL. 1. Chapt...

CS240B Midterm Spring 2013

CS240B Midterm Spring 2013

  • marina-yarberry
  • 11 Slides

. Your Name:. and your ID:. Problem. . Max....

Fine-grained Partitioning for Aggressive Data Skipping

Fine-grained Partitioning for Aggressive Data Skipping

  • celsa-spraggs
  • 28 Slides

Liwen. Sun, Michael J. Franklin, Sanjay Krishnan...

of Diophantine Quadruples

of Diophantine Quadruples

  • kittie-lecroy
  • 100 Slides

Adjugat es Philip Gibbs Diophantine m - tuples wi...

1 Large-Scale Machine Learning at Twitter

1 Large-Scale Machine Learning at Twitter

  • pamella-moone
  • 44 Slides

Jimmy Lin and Alek . Kolcz. Twitter, Inc.. Presen...

Making Time-stepped Applications

Making Time-stepped Applications

  • ellena-manuel
  • 43 Slides

Tick in . the . Cloud. Tao Zou. , Guozhang Wang, ...

UpSizeR

UpSizeR

  • alida-meadow
  • 21 Slides

Synthetically Scaling up . A Given Database State...

Processing Theta-Joins using

Processing Theta-Joins using

  • karlyn-bohler
  • 20 Slides

MapReduce. Authors: . Okcan. , . Riedewald. SIGMO...

Evaluating Window Joins over Unbounded Streams

Evaluating Window Joins over Unbounded Streams

  • min-jolicoeur
  • 49 Slides

Author: Jaewoo Kang, Jeffrey F. Naughton, Stratis...

Introducing Python

Introducing Python

  • tatiana-dople
  • 23 Slides

CS 4320, Spring 2015. Resources. We will be follo...

Real-time and Long-time with Storm and Hadoop

Real-time and Long-time with Storm and Hadoop

  • tatyana-admore
  • 47 Slides

Real-time and Long-time with Storm and . Hadoop. ...

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