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Präsentationen
(46)Gefällt mir
(10)AWS Big Data Demystified #1: Big data architecture lessons learned
Omid Vahdaty
•
Vor 5 Jahren
Flume vs. kafka
Omid Vahdaty
•
Vor 7 Jahren
Zeppelin and spark sql demystified
Omid Vahdaty
•
Vor 6 Jahren
Emr zeppelin & Livy demystified
Omid Vahdaty
•
Vor 6 Jahren
Introduction to AWS Big Data
Omid Vahdaty
•
Vor 6 Jahren
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DoiT International
•
Vor 7 Jahren
I Have No Idea What I'm Doing, and That's Okay!
Laura McGuigan
•
Vor 8 Jahren
Lessons learned from designing a QA Automation for analytics databases (big data)
Omid Vahdaty
•
Vor 7 Jahren
50 rules of innovation
Raman Kalia
•
Vor 8 Jahren
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Tommaso Di Bartolo
•
Vor 7 Jahren
Tags
big data
aws
cloud
hadoop
emr
apache
hive
flume
amazon
spark sql
kafka
machine learning
big data demystified
architecture
zeppelin
spark
security
streaming
kinesis
performance
amazon web services
azure
deep learning
kpi
nosql
athena
aws cloud
messaging
dynamo
etl
sql
high availability
datacenter
automation
qa
tips
statistics
couchbase
neural network
naive bayes
logisitic regression
knn
python
data science
deep fake
fake news
sparksql
big data architecture
clicktale
web analytics
analytics
logz.io
strategy
anlytics
ciso
health care
aerospike
operations
alexa
meetup
demystified
lesson learned
success story
walla
migration
obfuscation
encryption
compliance
account segregation
vpc
sparkr
ganglia
thrift
spectrum
tuning
livy
impala
best practices
data pipeline
piq
cost
oozie
batch
at rest
s3
in transit
sqs
open source
in flight analyticts
batch processing
firehose
imapla
opensource
graph store
document store
bigdata
redis
memcache
key value
columnar store
mongodb
talend
drilling
activity
website
gcp
disaster recovery
iot
qa testing
event stream
sqa
hdfs
management
lean startup
execution
change management
startup
product
creativity
metodology
innovation
dbms
scale
zookeeper
active passive
ha
windows
microsoft
containers
jenkins
os
mesos
introduction
testing
devops ansible continuous deployment
devops apache yarn hadoop 2.0
Mehr anzeigen