Sotabase

Career

· CEO And Co-founder, Tursio2023–
· Board Member, Keebo2022–2022
· CTO, Keebo2022–2022
· Founding Chief Architect, Keebo2021–2022
· Principal Scientist Manager, Microsoft2020–2022
· Principal Scientist, Microsoft2019–2020
· Senior Scientist, Microsoft2018–2019
· Senior Scientist, Microsoft2016–2018
· Senior Scientist, Microsoft2015–2019
· Postdoctoral Research Associate, MIT2013–2015

Publications (92)

Hadoop++
Proceedings of the VLDB Endowment · 2010
886
cited
BigDansing: A System for Big Data Cleansing
SIGMOD Conference · 2015
177
cited
Trojan data layouts: right shoes for a running elephant
ACM Symposium on Cloud Computing · 2011
130
cited
Performance and resource modeling in highly-concurrent OLTP workloads
ACM SIGMOD Conference · 2013
113
cited
Only Aggressive Elephants are Fast Elephants
Proceedings of the VLDB Endowment · 2012
111
cited
Towards a Learning Optimizer for Shared Clouds
Proceedings of the VLDB Endowment · 2018
102
cited
GraphFrames: an integrated API for mixing graph and relational queries
International Workshop on Graph Data Management Experiences and Systems · 2016
98
cited
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings
SIGMOD Conference · 2020
94
cited
Selecting Subexpressions to Materialize at Datacenter Scale
Proceedings of the VLDB Endowment · 2018
93
cited
Towards a One Size Fits All Database Architecture
Conference on Innovative Data Systems Research · 2011
82
cited
The Uncracked Pieces in Database Cracking
Proceedings of the VLDB Endowment · 2013
81
cited
Relax and Let the Database Do the Partitioning Online
Business Intelligence for the Real-Time Enterprises · 2011
67
cited
VERTEXICA: Your Relational Friend for Graph Analytics!
Proceedings of the VLDB Endowment · 2014
64
cited
Computation Reuse in Analytics Job Service at Microsoft
SIGMOD Conference · 2018
61
cited
AdaptDB: Adaptive Partitioning for Distributed Joins
Proceedings of the VLDB Endowment · 2017
60
cited
Steering Query Optimizers: A Practical Take on Big Data Workloads
SIGMOD Conference · 2021
51
cited
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML
Conference on Innovative Data Systems Research · 2019
43
cited
A robust partitioning scheme for ad-hoc query workloads
ACM Symposium on Cloud Computing · 2017
42
cited
Peregrine: Workload Optimization for Cloud Query Engines
ACM Symposium on Cloud Computing · 2019
38
cited
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation
Proceedings of the VLDB Endowment · 2020
36
cited
Sotabase
Alekh Jindal | Researcher Profile | Sotabase | Sotabase