The Case for Hybrid Transaction Analytical Processing

Hybrid Transaction Analytical Processing (HTAP) is poised to revolutionize data management. By providing online analytics over operational data, HTAP systems open up new opportunities in many application domains where real-time decision is critical. Important use cases are proximity marketing, real-time pricing, risk monitoring, real-time fraud detection, etc. HTAP also simplifies data management, by removing the traditional separation between operational database and data warehouse/ data lake (no more ETLs!). However, a hard problem is scaling out transactions in mixed operational and analytical workloads over big data. In this talk, I will introduce HTAP and discuss HTAP systems. I will also illustrate with LeanXcale, a new generation HTAP DBMS that provides ultra-scalable transactions, big data analytics, SQL/JSON support and polystore capabilities.

Shortbio:

Patrick Valduriez is a senior researcher at Inria and LIRMM, University of Montpellier, France. He has also been a professor of Computer Science at University Pierre et Marie Curie (UPMC) in Paris and a researcher at Microelectronics and Computer Technology Corp. in Austin, Texas. He received his Ph. D. degree and Doctorat d'Etat in CS from UPMCiin 1981 and 1985, respectively. He is the head of the Zenith team (between Inria and University of Montpellier, LIRMM) that focuses on data science, in particular dat management in large-scale distributed and parallel systems and scientific data management. He has authored and co-authored over 400 technical papers and several textbooks, among which “Principles of Distributed Database Systems”. He currently serves as associate editor of several journals, including the VLDB Journal, Distributed and Parallel Databases, and Internet and Databases. He has served as PC chair of major conferences such as SIGMOD and VLDB. He was the general chair of SIGMODO4, EDBTO8 and VLDBOS9. He obtained the best paper award at VLDBOO. He was the recipient of the 1993 IBM scientific prize in Computer Science in France and the 2014 Innovation Award from Inria — French Academy of Science - Dassault Systems. He is an ACM Fellow.

Agenda

09:00 - 09:15 - SciDisc Overview & keynote Presentation

09:15 - 10:15 - Patrick Valduriez (Inria & LIRMM, U. Montpellier) - The Case for Hybrid Transaction Analytical Processing

10:15 - 10:30 - Break

10:30 - 10:50 - Renan Souza (UFRJ - COPPE) - Lightweight Runtime Multi- workflow Data Analysis using Provenance

10:50 - 11:10 - Rafael Pereira (LNCC) - Deep Learning Application for Plant Classification on Unbalanced Training Set

11:10 - 11:30 - Break

11:30 - 12:10 - Daniel de Oliveira (UFF) - Parameter Recommendation in Scientific Workflows Using Preference Learning

12:10 - 12:30 - Heraldo Borges (CEFET-RJ) - Spatial temporal sequence mining 12:30 - 14:00 - Lunch

14:00 - 14:45 - Esther Pacitti (U. Montpellier, LIRMM & Inria) - Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud

14:45 - 15:15 - Hermano Lustosa (LNCC) - A Demo for the SAVIME System 15:15 - 15:30 - wrap-up


Participants:

INRIA - Univ. Montpellier

Patrick Valduriez - Researcher
Esther Pacitti - Researcher

LNCC

Fabio Porto - Researcher
Luiz Gadelha - Researcher
Carla Osthof - Researcher
Artur Ziviani - Researcher
Kary O'Cana - Researcher
Anderson Chaves - PhD Student
Hermano Lustosa - PhD Student
Rafael Pereira Silva - MSc Student
Yania Molina Souto - PostDoc
João Guilherme N. Rittmeyer - Engineer
Maria Luiza Modelli - PhD Student
Natalia Barbosa Santos - MSc Student
Juan Fabian - PhD Student

CEFET- RJ

Eduardo Ogasawara - Researcher
Heraldo Borges - PhD Student

UFRJ

Marta Mattoso - Researcher
Renan F. Souza  - PhD Student
Débora Barbosa Pina - PhD Student
Liliane Neves de Oliveira - PhD Student

UFF

Daniel de Oliveira - Researcher
Luiz Gustavo Dias - PhD student