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Interoperability for

Interoperability for

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Provenance-aware Databases using PROV and JSON. D...

An Overview of Data Provenance

An Overview of Data Provenance

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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?

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Elasticity. Computing resource or storag...

Query Processing

Query Processing

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

Deco Query Processing

Deco Query Processing

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

Ivan Lanese

Ivan Lanese

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Computer Science Department. University of Bologn...

Francesco Tiezzi

Francesco Tiezzi

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IMT Advanced . Studies. . Lucca. Causal-Consiste...

Query Optimization

Query Optimization

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

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6.830 Lecture 7

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

Ripple Joins for Online Aggregation

Ripple Joins for Online Aggregation

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

Implementation of relational operations

Implementation of relational operations

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

Database Systems

Database Systems

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

Utility of Considering

Utility of Considering

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M. ultiple . A. lternative . R. ectifications in ...

CS240B Midterm Spring 2013

CS240B Midterm Spring 2013

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

Fine-grained Partitioning for Aggressive Data Skipping

Fine-grained Partitioning for Aggressive Data Skipping

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

of Diophantine Quadruples

of Diophantine Quadruples

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

1 Large-Scale Machine Learning at Twitter

1 Large-Scale Machine Learning at Twitter

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

Making Time-stepped Applications

Making Time-stepped Applications

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

UpSizeR

UpSizeR

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Synthetically Scaling up . A Given Database State...

Processing Theta-Joins using

Processing Theta-Joins using

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

GPU Computing with CUDA

GPU Computing with CUDA

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© Dan Negrut, . 2012. UW-Madison. Dan Negrut. Si...

Evaluating Window Joins over Unbounded Streams

Evaluating Window Joins over Unbounded Streams

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

Introducing Python

Introducing Python

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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

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

Denition1APT-netisa4-tuple(P;T;F;M0)wherePandTaredisjointnitesetsofp

Denition1APT-netisa4-tuple(P;T;F;M0)wherePandTaredisjointnitesetsofp

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3TranslatingPlanningProblemsintoPT-NetsTouseanunfo...

The Complexity of Causality and Responsibility

The Complexity of Causality and Responsibility

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f. or Query Answers and non-Answers. Alexandra Me...

CS 440

CS 440

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Database Management Systems. Lecture 2 : Review o...

CS61A Lecture 11

CS61A Lecture 11

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Immutable Trees. Jom. . Magrotker. UC Berkeley E...

Top-K Query Evaluation on Probabilistic Data

Top-K Query Evaluation on Probabilistic Data

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Christopher . Ré. , . Nilesh. . Dalvi. and Dan...

Relational Join

Relational Join

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Advanced Data Structures. Equality Joins With One...

A Constraint Satisfaction Problem (CSP) is a combinatorial

A Constraint Satisfaction Problem (CSP) is a combinatorial

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by a . set of . variables. {A,B,C,…}, a set . ...

Sharing, mutability, and immutability

Sharing, mutability, and immutability

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Ruth Anderson. CSE 140. University of Washington....

Materialized Views in Probabilistic Databases

Materialized Views in Probabilistic Databases

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for Information Exchange and Query Optimization. ...

Relational Calculus

Relational Calculus

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Chapter 4, Part B. Relational Calculus. Comes in ...

Scalable stream processing with Storm

Scalable stream processing with Storm

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Brian Johnson. Luke Forehand. Our Ambition: Marke...

Storm

Storm

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Distributed and fault-tolerant . realtime. compu...

Representing and Querying Correlated Tuples in Probabilisti

Representing and Querying Correlated Tuples in Probabilisti

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Prithviraj Sen Amol Deshpande. outline. General I...

Improving some bounds for multiple domination parameters in

Improving some bounds for multiple domination parameters in

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2. 3. A set . S ⊆ V . is a . dominating set. ....

F# 3.0: Data, Services, Web,

F# 3.0: Data, Services, Web,

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Cloud, at . Y. our Fingertips. Dustin Campbell. S...

Generalized Chain

Generalized Chain

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Propose . and discuss a simple generalization of ...

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