Natalino Busa
149
Abonné
Personal Information
Entreprise/Lieu de travail
Singapore Singapore
Profession
Director, Data Science and Analytics
Secteur d’activité
Finance / Banking / Insurance
Site Web
www.natalinobusa.com
À propos
All-round Principal Data Scientist, CTO and Digital Innovator with 15+ years experience in development, management and research of data algorithms, distributed architectures and scalable data-intensive services and applications.
Proficient at translating CxO strategies into data-driven, customer-centric solutions. Delivering data analytics pipelines on state-of-the-art data architectures. I have 10+ years of experience in data analysis in Python, R and Scala . I work regularly with Spark, Jupyter, and Akka.
Mots-clés
big data
cassandra
spark
data science
analytics
hadoop
akka
machine learning
python
api
scala
data exploration
jupyter
ai
core banking systems
streaming computing
realtime processing
hive
bigdata
tensorflow
keras
ml
cloud
deep learning
banking
finance
data
spray
edw
lambda architecture
algorithms
streaming
storm
devops
mnist
web
ui
containers
nlp
tda
databases
linguistics
compliance
auditing
social networks
trends
apache
lucene
solr
ibm
programming
design
hdfs
angularjs
mapreduce
apache hadoop
tools
data wrangling
map-reduce
r
random forests
cbs
apidays
big
trending
review
nosql
strata
parallel computing
distributed computing
marz
boner
gigaspaces
memory computing
pic
marketing
bi
map reduce.
ci
hbase
businness intelligence
olap
otap
Tout plus
- Présentations
- Documents
- Infographies
WTF - Why the Future Is Up to Us - pptx version
Tim O'Reilly
•
il y a 7 ans
Streaming Analytics
Neera Agarwal
•
il y a 7 ans
Real-time Streaming Analytics for Enterprises based on Apache Storm - Impetus StreamAnalytix Webinar
Impetus Technologies
•
il y a 9 ans
Stream Computing & Analytics at Uber
Sudhir Tonse
•
il y a 8 ans
Introduction to Streaming Analytics
Guido Schmutz
•
il y a 7 ans
Deep Learning Computer Build
PetteriTeikariPhD
•
il y a 7 ans
Enterprise Scale Topological Data Analysis Using Spark
Spark Summit
•
il y a 7 ans
word2vec - From theory to practice
hen_drik
•
il y a 8 ans
[Tutorial] building machine learning models for predictive maintenance applications - Yan Zhang
PAPIs.io
•
il y a 8 ans
Real time data processing with spark & cassandra @ NoSQLMatters 2015 Paris
Duyhai Doan
•
il y a 9 ans
Extending Data Lake using the Lambda Architecture June 2015
DataWorks Summit
•
il y a 8 ans
The Future of Hadoop by Arun Murthy, PMC Apache Hadoop & Cofounder Hortonworks
Data Con LA
•
il y a 8 ans
10 Lessons Learned from Building Machine Learning Systems
Xavier Amatriain
•
il y a 9 ans
10 more lessons learned from building Machine Learning systems
Xavier Amatriain
•
il y a 8 ans
Helsinki Spark Meetup Nov 20 2015
Chris Fregly
•
il y a 8 ans
Contexti / Oracle - Big Data : From Pilot to Production
Contexti
•
il y a 9 ans
Spark Summit EU 2015: Matei Zaharia keynote
Databricks
•
il y a 8 ans
Topological data analysis
Sunghyon Kyeong
•
il y a 9 ans
In-Memory Computing: Myths and Facts
DATAVERSITY
•
il y a 10 ans
Apache Flink: API, runtime, and project roadmap
Kostas Tzoumas
•
il y a 9 ans