Quickr: Cost-Effective Data Analytics at Scale

Pushing Data-Induced Predicates Through Joins in Big-Data Clusters: Extended Version

September 2020

Publication

Approximate Partition Selection for BigData Workloads using Summary Statistics

Kexin Rong, Yao Lu, Srikanth Kandula, Peter Bailis, Phil Levis

VLDB | August 2020

DOI

Pushing Data-Induced Predicates Through Joins in Big-Data Clusters

Srikanth Kandula, Laurel Orr, Surajit Chaudhuri

VLDB | August 2020

Best Paper Runner-Up

Publication 项目

Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters

Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman

VLDB | August 2019, 第 12 卷(12)

Publication

Accelerating Machine Learning Inference with Probabilistic Predicates

Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018

Publication Publication

Interactive Demonstration of Probabilistic Predicates

Yao Lu, Srikanth Kandula, Surajit Chaudhuri

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018

Publication 下载

Approximate Query Processing: No Silver Bullet

Surajit Chaudhuri, Bolin Ding, Srikanth Kandula

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2017) | May 2017

Publication

Errata and Proofs for Quickr

Srikanth Kandula

MSR-TR-2017-14 | November 2016

作者：Microsoft

Publication

Optasia: A Relational Platform for Efficient Large-Scale Video Analytics

Yao Lu, Aakanksha Chowdhery, Srikanth Kandula

SoCC '16, Santa Clara, CA, USA | October 2016

Publication Publication Publication

VisFlow: A Relational Platform for Efficient Large-Scale Video Analytics

Yao Lu, Aakanksha Chowdhery, Srikanth Kandula

MSR-TR-2016-13 | June 2016

作者：Microsoft

Publication 项目

Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters

Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016

论文与出版物

Pushing Data-Induced Predicates Through Joins in Big-Data Clusters: Extended Version

September 2020

Publication

Pushing Data-Induced Predicates Through Joins in Big-Data Clusters: Extended Version

September 2020

Publication

Approximate Partition Selection for BigData Workloads using Summary Statistics

Kexin Rong, Yao Lu, Srikanth Kandula, Peter Bailis, Phil Levis

VLDB | August 2020

DOI

Pushing Data-Induced Predicates Through Joins in Big-Data Clusters

Srikanth Kandula, Laurel Orr, Surajit Chaudhuri

VLDB | August 2020

Best Paper Runner-Up

Publication 项目

Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters

Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman

VLDB | August 2019, 第 12 卷(12)

Publication

Interactive Demonstration of Probabilistic Predicates

Yao Lu, Srikanth Kandula, Surajit Chaudhuri

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018

Publication 下载

Accelerating Machine Learning Inference with Probabilistic Predicates

Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018

Publication Publication

Approximate Query Processing: No Silver Bullet

Surajit Chaudhuri, Bolin Ding, Srikanth Kandula

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2017) | May 2017

Publication

Errata and Proofs for Quickr

Srikanth Kandula

MSR-TR-2017-14 | November 2016

作者：Microsoft

Publication

Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters

Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016

论文与出版物

Pushing Data-Induced Predicates Through Joins in Big-Data Clusters: Extended Version

September 2020

Publication

Approximate Partition Selection for BigData Workloads using Summary Statistics

Kexin Rong, Yao Lu, Srikanth Kandula, Peter Bailis, Phil Levis

VLDB | August 2020

DOI

Pushing Data-Induced Predicates Through Joins in Big-Data Clusters

Srikanth Kandula, Laurel Orr, Surajit Chaudhuri

VLDB | August 2020

Best Paper Runner-Up

Publication 项目

Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters

Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman

VLDB | August 2019, 第 12 卷(12)

Publication

Interactive Demonstration of Probabilistic Predicates

Yao Lu, Srikanth Kandula, Surajit Chaudhuri

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018

Publication 下载

Accelerating Machine Learning Inference with Probabilistic Predicates

Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018

Publication Publication

Approximate Query Processing: No Silver Bullet

Surajit Chaudhuri, Bolin Ding, Srikanth Kandula

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2017) | May 2017

Publication

Errata and Proofs for Quickr

Srikanth Kandula

MSR-TR-2017-14 | November 2016

作者：Microsoft

Publication

Optasia: A Relational Platform for Efficient Large-Scale Video Analytics

Yao Lu, Aakanksha Chowdhery, Srikanth Kandula

SoCC '16, Santa Clara, CA, USA | October 2016

Publication Publication Publication

VisFlow: A Relational Platform for Efficient Large-Scale Video Analytics

Yao Lu, Aakanksha Chowdhery, Srikanth Kandula

MSR-TR-2016-13 | June 2016

作者：Microsoft

Publication 项目

Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters

Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016

论文与出版物

Approximate Partition Selection for BigData Workloads using Summary Statistics

Kexin Rong, Yao Lu, Srikanth Kandula, Peter Bailis, Phil Levis

VLDB | August 2020

DOI

Interactive Demonstration of Probabilistic Predicates

Yao Lu, Srikanth Kandula, Surajit Chaudhuri

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018

Publication 下载

Optasia: A Relational Platform for Efficient Large-Scale Video Analytics

Yao Lu, Aakanksha Chowdhery, Srikanth Kandula

SoCC '16, Santa Clara, CA, USA | October 2016

Publication Publication Publication

Interactive Demonstration of Probabilistic Predicates

Yao Lu, Srikanth Kandula, Surajit Chaudhuri

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018

Publication 下载

Pushing Data-Induced Predicates Through Joins in Big-Data Clusters: Extended Version

September 2020

Publication

Approximate Partition Selection for BigData Workloads using Summary Statistics

Kexin Rong, Yao Lu, Srikanth Kandula, Peter Bailis, Phil Levis

VLDB | August 2020

DOI

Pushing Data-Induced Predicates Through Joins in Big-Data Clusters

Srikanth Kandula, Laurel Orr, Surajit Chaudhuri

VLDB | August 2020

Best Paper Runner-Up

Publication 项目

Interactive Demonstration of Probabilistic Predicates

Yao Lu, Srikanth Kandula, Surajit Chaudhuri

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018

Publication 下载

Accelerating Machine Learning Inference with Probabilistic Predicates

Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018

Publication Publication

Approximate Query Processing: No Silver Bullet

Surajit Chaudhuri, Bolin Ding, Srikanth Kandula

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2017) | May 2017

Publication

Optasia: A Relational Platform for Efficient Large-Scale Video Analytics

Yao Lu, Aakanksha Chowdhery, Srikanth Kandula

SoCC '16, Santa Clara, CA, USA | October 2016

Publication Publication Publication

Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters

Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016

论文与出版物

Errata and Proofs for Quickr

Srikanth Kandula

MSR-TR-2017-14 | November 2016

作者：Microsoft

Publication

VisFlow: A Relational Platform for Efficient Large-Scale Video Analytics

Yao Lu, Aakanksha Chowdhery, Srikanth Kandula

MSR-TR-2016-13 | June 2016

作者：Microsoft

Publication 项目

Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters

Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman

VLDB | August 2019, 第 12 卷(12)

Publication