Personal Information
Organización/Lugar de trabajo
Santa Clara, CA United States
Sector
Technology / Software / Internet
Sitio web
www.mapr.com
Acerca de
MapR Technologies has pioneered one platform for all types of data across every cloud. We enable companies to harness the power of all of their data with the MapR Platform. With the MapR Platform, companies can do analytics and applications together as data happens to create intelligent, next-generation applications to outperform the competition. Global 2000 enterprises are using the MapR Platform to help them solve their most complex data challenges. Amazon, Cisco, Google, Microsoft, SAP and other leading businesses are all part of the MapR ecosystem. For more information, visit www.mapr.com.
Etiquetas
hadoop
mapr
big data
apache drill
machine learning
apache hadoop
mahout
sql
apache spark
nosql
stratahadoopsj2015
ted dunning
mapr technologies
mapreduce
hadoopsummit2015
real time analytics
k-means
hbase
michael hausenblas
israel
security
jack norris
drill
storm
mapr streams
apache kafka
json
meetup
big data everywhere
sql-on-hadoop
spark
data warehouse
analytics
genomics
stream processing
query engines
keys botzum
data
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apache
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sequencing
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predictive analytics
lucidworks
scalability
map-reduce
data mining
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microservices
streaming microservices
ai
deep learning
ml logistics
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microsoft
sullexis
azure
strata conference
stratahadoop
digital transformation
free code friday
roi
customer experience
reliability
bowtie
adam
bioinformatics
open json application interface
ojai
mapr platform
document database
mapr-db
parallel processing
mllib
recommendation engines
data agility
data lake
spark summit
elastic
elastic search
data science
hadoop multi-tenancy production success use cases
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hadoop for security
quick start solutions
security analytics
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zeta
impacting business
throughput
no schema
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no-sql
gatk
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calculator
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carl olofson
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mike brown
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vertica
mike ferguson
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sungwook yoon
marco vasquez
fraud
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anoop dawar
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bill peterson
centurylink
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aditya kishore
edw
tdwi
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shopping
holidays
microstrategy
informatica
hadoop world
m.c. srivas
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high availability
david tucker
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insights
search recommendation
real-time analytics
reflected intelligence
machine l
interactive queries
clusterint
lucene
katta
machi
hug
terasort
r
oscon
machin
log-likelihood ratio statistic
odbc
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Presentaciones
(198)Recomendaciones
(5)Using Apache Drill
Chicago Hadoop Users Group
•
Hace 9 años
Genomics Crash Course for Data Engineers
Allen Day, PhD
•
Hace 10 años
New York Storm Users Group 2014-01-28 - Using Storm with MapR M7 for Real-Time Predictive Modeling
Gna Phetsarath
•
Hace 10 años
Challenges & Capabilites in Managing a MapR Cluster by David Tucker
MapR Technologies
•
Hace 10 años
Inside MapR's M7
Ted Dunning
•
Hace 10 años
Personal Information
Organización/Lugar de trabajo
Santa Clara, CA United States
Sector
Technology / Software / Internet
Sitio web
www.mapr.com
Acerca de
MapR Technologies has pioneered one platform for all types of data across every cloud. We enable companies to harness the power of all of their data with the MapR Platform. With the MapR Platform, companies can do analytics and applications together as data happens to create intelligent, next-generation applications to outperform the competition. Global 2000 enterprises are using the MapR Platform to help them solve their most complex data challenges. Amazon, Cisco, Google, Microsoft, SAP and other leading businesses are all part of the MapR ecosystem. For more information, visit www.mapr.com.
Etiquetas
hadoop
mapr
big data
apache drill
machine learning
apache hadoop
mahout
sql
apache spark
nosql
stratahadoopsj2015
ted dunning
mapr technologies
mapreduce
hadoopsummit2015
real time analytics
k-means
hbase
michael hausenblas
israel
security
jack norris
drill
storm
mapr streams
apache kafka
json
meetup
big data everywhere
sql-on-hadoop
spark
data warehouse
analytics
genomics
stream processing
query engines
keys botzum
data
m7
recommendation engine
mapr partners
clustering
hadoop in finance
apache
real-time data
search
business value
open source
mapr converged data platform
business intelligence
query
sequencing
mapr db
keynote
strata
idc
risk management
database
webinar
shark
steve wooledge
operational applications
forrester
anomaly detection
kerberos
latency
cisco
production hadoop
business analytics
jacques nadeau
infographic
recommendation
predictive analytics
lucidworks
scalability
map-reduce
data mining
nfs
microservices
streaming microservices
ai
deep learning
ml logistics
model evaluation
microsoft
sullexis
azure
strata conference
stratahadoop
digital transformation
free code friday
roi
customer experience
reliability
bowtie
adam
bioinformatics
open json application interface
ojai
mapr platform
document database
mapr-db
parallel processing
mllib
recommendation engines
data agility
data lake
spark summit
elastic
elastic search
data science
hadoop multi-tenancy production success use cases
quick start solution for security analytics
hadoop for security
quick start solutions
security analytics
zeta architecture
zeta
impacting business
throughput
no schema
dynamic schema
no-sql
gatk
samaza
calculator
cost
tco
data exploration
briefcase cluster
san jose
enterprise
datacenter
myriad
yarn
data center
mesos
tsdb
iot
open tsdb
sensor data
time series
decision platform
carl olofson
oltp
bi
matt aslett
hadoop analytics
451 research
risk modeling
financial services
splunk
skytree
dbta
wwt
dmx-h
mike brown
syncsort
comscore
israle
pontis
tomer shiran
kenshoo
vertica
mike ferguson
data hub
sungwook yoon
marco vasquez
fraud
dataguise
anoop dawar
databricks
bill peterson
centurylink
savvis
big data stack
scalable
aditya kishore
edw
tdwi
pro
shopping
holidays
microstrategy
informatica
hadoop world
m.c. srivas
cluster management
high availability
david tucker
hdfs
cloud computing
insights
search recommendation
real-time analytics
reflected intelligence
machine l
interactive queries
clusterint
lucene
katta
machi
hug
terasort
r
oscon
machin
log-likelihood ratio statistic
odbc
Ver más