Personal Information
Entreprise/Lieu de travail
Within 23 wards, Tokyo, Japan Japan
Profession
Fundamental research and engineering on Enterprise Data Management and Processing systems, Ph.D. in Informatics
Secteur d’activité
Technology / Software / Internet
À propos
Yu Liu is an expert on parallel/distributed programming and computing ( essentials of big data).
He did 5 years research on parallel/distributed programming (languages, algorithms, frameworks, etc.) during his PhD and Master study.
Yu Liu has 10+ years engineering experience on BPM, CRM and ERP systems.
Currently Yu Liu is working on
. IT Project&Resource Management,
. Data Analytics (BigData Processing) Platforms,
. IT Innovation for Business Processes & Analysis
Mots-clés
mapreduce
parallel programming
hadoop
high level parallel programming
functional programming
machine learning
distributed system
treewidth
graph theory
social network
survey
spark
bulk synchronous parallel
algorithm
optimization
query
tcp-ds
tcp-h
sql
bigdata
perfromance
benchmark
presto
hive
transaction
acid
nosql
database
ml
nlp
icd coding
data
cluster management
erp
scheduling
sysrem architecture
big data
batch
casandra
search engines
np-hard problems
combinatorial optimization
complexity theory
analysis
k-tree
target set selection
influence maximization
accumulation
programming model
apache hama
bsp
dsl
homomorphism
program transformation
automatic parallelization
delite/lsm
domain specific language
stage programming
linked data
pattern recognition
graph pattern-recognize
pig
prefix sum
scan
hdfs
data structure
tree-like data structure
hieratical clustering
parallel computing
tree algorithm
succinct data structure
neuron network
mpi
generate test aggregate
list homomorphism
knapsack
Tout plus
Présentations
(22)J’aime
(27)Scalar DB: A library that makes non-ACID databases ACID-compliant
Scalar, Inc.
•
il y a 3 ans
Scalar DB: Universal Transaction Manager
Scalar, Inc.
•
il y a 2 ans
Data all over the place! How SQL and Apache Calcite bring sanity to streaming and spatial data
Julian Hyde
•
il y a 5 ans
Code generation
Aparna Nayak
•
il y a 11 ans
Apache Cayenne: a Java ORM Alternative
Andrus Adamchik
•
il y a 7 ans
WSO2Con USA 2015: Keynote - The Future of Real-Time Analytics and IoT
WSO2
•
il y a 8 ans
WSO2Con US 2015 Kubernetes: a platform for automating deployment, scaling, and operations
Brian Grant
•
il y a 8 ans
Self-Adaptive Cloud Infrastructures with Bidirectional Programming
Lionel Montrieux
•
il y a 8 ans
2016 Spark Summit East Keynote: Matei Zaharia
Databricks
•
il y a 8 ans
Self-Adaptive Federated Authorisation Infrastructures
Lionel Montrieux
•
il y a 8 ans
Real-time Puppies and Ponies - Evolving Indicator Recommendations in Real-time
Ted Dunning
•
il y a 9 ans
Chainerの使い方と自然言語処理への応用
Yuya Unno
•
il y a 8 ans
2015 nov 27_thug_paytm_rt_ingest_brief_final
Adam Muise
•
il y a 8 ans
Spark Summit EU 2015: Matei Zaharia keynote
Databricks
•
il y a 8 ans
単語・句の分散表現の学習
Naoaki Okazaki
•
il y a 8 ans
HBaseCon 2015 General Session: Zen - A Graph Data Model on HBase
HBaseCon
•
il y a 8 ans
Apache Drill and Zeppelin: Two Promising Tools You've Never Heard Of
Charles Givre
•
il y a 8 ans
DataStax: Dockerizing Cassandra on Modern Linux
DataStax Academy
•
il y a 8 ans
Scalaの現状と今後
Kota Mizushima
•
il y a 9 ans
Social Media Is Big Business
Ben Rubenstein
•
il y a 8 ans
Drilling into Data with Apache Drill - Tokyo Apache Drill Meetup 2015/11/12
MapR Technologies Japan
•
il y a 8 ans
Rethinking SQL for Big Data with Apache Drill
MapR Technologies
•
il y a 8 ans
Zeta Architecture: The Next Generation Big Data Architecture
MapR Technologies
•
il y a 9 ans
Restlet: Building a multi-tenant API PaaS with DataStax Enterprise Search
DataStax Academy
•
il y a 8 ans
DataStax: Spark Cassandra Connector - Past, Present and Future
DataStax Academy
•
il y a 8 ans
Tachyon workshop 2015-07-19
Tachyon Nexus, Inc.
•
il y a 8 ans
Apache Kylin - OLAP Cubes for SQL on Hadoop
Ted Dunning
•
il y a 9 ans
Personal Information
Entreprise/Lieu de travail
Within 23 wards, Tokyo, Japan Japan
Profession
Fundamental research and engineering on Enterprise Data Management and Processing systems, Ph.D. in Informatics
Secteur d’activité
Technology / Software / Internet
À propos
Yu Liu is an expert on parallel/distributed programming and computing ( essentials of big data).
He did 5 years research on parallel/distributed programming (languages, algorithms, frameworks, etc.) during his PhD and Master study.
Yu Liu has 10+ years engineering experience on BPM, CRM and ERP systems.
Currently Yu Liu is working on
. IT Project&Resource Management,
. Data Analytics (BigData Processing) Platforms,
. IT Innovation for Business Processes & Analysis
Mots-clés
mapreduce
parallel programming
hadoop
high level parallel programming
functional programming
machine learning
distributed system
treewidth
graph theory
social network
survey
spark
bulk synchronous parallel
algorithm
optimization
query
tcp-ds
tcp-h
sql
bigdata
perfromance
benchmark
presto
hive
transaction
acid
nosql
database
ml
nlp
icd coding
data
cluster management
erp
scheduling
sysrem architecture
big data
batch
casandra
search engines
np-hard problems
combinatorial optimization
complexity theory
analysis
k-tree
target set selection
influence maximization
accumulation
programming model
apache hama
bsp
dsl
homomorphism
program transformation
automatic parallelization
delite/lsm
domain specific language
stage programming
linked data
pattern recognition
graph pattern-recognize
pig
prefix sum
scan
hdfs
data structure
tree-like data structure
hieratical clustering
parallel computing
tree algorithm
succinct data structure
neuron network
mpi
generate test aggregate
list homomorphism
knapsack
Tout plus