Personal Information
Organização/Local de trabalho
Within 23 wards, Tokyo, Japan Japan
Cargo
Fundamental research and engineering on Enterprise Data Management and Processing systems, Ph.D. in Informatics
Setor
Technology / Software / Internet
Sobre
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
Marcadores
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
Ver mais
Apresentações
(22)Documentos
(1)Gostaram
(27)Scalar DB: A library that makes non-ACID databases ACID-compliant
Scalar, Inc.
•
Há 3 anos
Scalar DB: Universal Transaction Manager
Scalar, Inc.
•
Há 2 anos
Data all over the place! How SQL and Apache Calcite bring sanity to streaming and spatial data
Julian Hyde
•
Há 5 anos
Code generation
Aparna Nayak
•
Há 11 anos
Apache Cayenne: a Java ORM Alternative
Andrus Adamchik
•
Há 7 anos
WSO2Con US 2015 Kubernetes: a platform for automating deployment, scaling, and operations
Brian Grant
•
Há 8 anos
Self-Adaptive Cloud Infrastructures with Bidirectional Programming
Lionel Montrieux
•
Há 8 anos
2016 Spark Summit East Keynote: Matei Zaharia
Databricks
•
Há 8 anos
Self-Adaptive Federated Authorisation Infrastructures
Lionel Montrieux
•
Há 8 anos
Real-time Puppies and Ponies - Evolving Indicator Recommendations in Real-time
Ted Dunning
•
Há 9 anos
Chainerの使い方と 自然言語処理への応用
Yuya Unno
•
Há 8 anos
2015 nov 27_thug_paytm_rt_ingest_brief_final
Adam Muise
•
Há 8 anos
Spark Summit EU 2015: Matei Zaharia keynote
Databricks
•
Há 8 anos
単語・句の分散表現の学習
Naoaki Okazaki
•
Há 8 anos
HBaseCon 2015 General Session: Zen - A Graph Data Model on HBase
HBaseCon
•
Há 8 anos
Apache Drill and Zeppelin: Two Promising Tools You've Never Heard Of
Charles Givre
•
Há 8 anos
DataStax: Dockerizing Cassandra on Modern Linux
DataStax Academy
•
Há 8 anos
Scalaの現状と今後
Kota Mizushima
•
Há 9 anos
Social Media Is Big Business
Ben Rubenstein
•
Há 8 anos
Drilling into Data with Apache Drill - Tokyo Apache Drill Meetup 2015/11/12
MapR Technologies Japan
•
Há 8 anos
Rethinking SQL for Big Data with Apache Drill
MapR Technologies
•
Há 8 anos
Zeta Architecture: The Next Generation Big Data Architecture
MapR Technologies
•
Há 9 anos
Restlet: Building a multi-tenant API PaaS with DataStax Enterprise Search
DataStax Academy
•
Há 8 anos
DataStax: Spark Cassandra Connector - Past, Present and Future
DataStax Academy
•
Há 8 anos
Tachyon workshop 2015-07-19
Tachyon Nexus, Inc.
•
Há 8 anos
Apache Kylin - OLAP Cubes for SQL on Hadoop
Ted Dunning
•
Há 9 anos
Personal Information
Organização/Local de trabalho
Within 23 wards, Tokyo, Japan Japan
Cargo
Fundamental research and engineering on Enterprise Data Management and Processing systems, Ph.D. in Informatics
Setor
Technology / Software / Internet
Sobre
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
Marcadores
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
Ver mais