Personal Information
Organização/Local de trabalho
Within 23 wards, Tokyo, Japan Japan
Cargo
Solutions Engineering Lead, North APAC, Hortonworks
Setor
Technology / Software / Internet
Sobre
I am a Solutions Engineering Lead at Hortonworks.
Before joining Hortonworks, I was a Solutions Architect Amazon Web Services.
I have been a Hadoop and HBase administrator and developer at Rakuten, inc., the largest e-commerce company in Japan.
I also developed and operated Rakuten's platform as a service (aka PaaS) using Cloud Foundry.
I am the author of HBase Administration Cookbook: http://amzn.to/17gXqd1
I am now living in Japan.
I like reading, learning and going outdoor with my lovely family.
Specialties: Hadoop, HBase, Cloud Foundry, Redis, AWS
Marcadores
hadoop
hdp
big data
hive
spark
sql on hadoop
iot
streaming process
hdf
hive llap
hortonworks
aws
hdc
sparksql
tez
kafka
hdfs
ambari
security
flash storage
hbase
nfs
s3
spark streaming
storm
real-time system
metron
druid
mpp
financial
nifi
data flow programming
phoenix
hop
kinesis
yarn
erasure code
ec2
data science
Ver mais
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HDFS tiered storage
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Transactional operations in Apache Hive: present and future
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What's new in apache hive
DataWorks Summit
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Hive acid and_2.x new_features
Alberto Romero
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From Mainframe to Microservice: An Introduction to Distributed Systems
Tyler Treat
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A Non-Standard use Case of Hadoop: High Scale Image Processing and Analytics
DataWorks Summit
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Show me the Money! Cost & Resource Tracking for Hadoop and Storm
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Open Source Lambda Architecture with Hadoop, Kafka, Samza and Druid
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Hadoop summit-diverse-workload
Wangda Tan
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Towards SLA-based Scheduling on YARN Clusters
DataWorks Summit
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Apache Hadoop YARN – Multi-Tenancy, Capacity Scheduler & Preemption - StampedeCon 2015
StampedeCon
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Apache Hadoop YARN: best practices
DataWorks Summit
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Node Labels in YARN
DataWorks Summit
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Scaling LinkedIn - A Brief History
Josh Clemm
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Cost-based query optimization in Apache Hive 0.14
Julian Hyde
•
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Apache Hadoop YARN and the Docker Ecosystem
DataWorks Summit
•
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Apache Kylin - Balance between space and time - Hadoop Summit 2015
Debashis Saha
•
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Analyzing Historical Data of Applications on YARN for Fun and Profit
DataWorks Summit
•
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Securing Hadoop with Apache Ranger
DataWorks Summit
•
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Apache Atlas. Data Governance for Hadoop. Strata London 2015
Sean Roberts
•
Há 9 anos
Hadoop operations-2014-strata-new-york-v5
Chris Nauroth
•
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Amazon Elastic MapReduce with Hive/Presto ハンズオン(講義)
Amazon Web Services Japan
•
Há 8 anos
Hortonworks Technical Workshop: HBase For Mission Critical Applications
Hortonworks
•
Há 9 anos
ORC: 2015 Faster, Better, Smaller
DataWorks Summit
•
Há 9 anos
Architecting a Scalable Hadoop Platform: Top 10 considerations for success
DataWorks Summit
•
Há 9 anos
Personal Information
Organização/Local de trabalho
Within 23 wards, Tokyo, Japan Japan
Cargo
Solutions Engineering Lead, North APAC, Hortonworks
Setor
Technology / Software / Internet
Sobre
I am a Solutions Engineering Lead at Hortonworks.
Before joining Hortonworks, I was a Solutions Architect Amazon Web Services.
I have been a Hadoop and HBase administrator and developer at Rakuten, inc., the largest e-commerce company in Japan.
I also developed and operated Rakuten's platform as a service (aka PaaS) using Cloud Foundry.
I am the author of HBase Administration Cookbook: http://amzn.to/17gXqd1
I am now living in Japan.
I like reading, learning and going outdoor with my lovely family.
Specialties: Hadoop, HBase, Cloud Foundry, Redis, AWS
Marcadores
hadoop
hdp
big data
hive
spark
sql on hadoop
iot
streaming process
hdf
hive llap
hortonworks
aws
hdc
sparksql
tez
kafka
hdfs
ambari
security
flash storage
hbase
nfs
s3
spark streaming
storm
real-time system
metron
druid
mpp
financial
nifi
data flow programming
phoenix
hop
kinesis
yarn
erasure code
ec2
data science
Ver mais