Personal Information
Entreprise/Lieu de travail
Coimbatore Area, India, Tamilnadu India
Profession
Big Data & IoT - Consultant
Site Web
https://bigzettab.wordpress.com/
À propos
Helping students and institutions to connect with industry leaders to understand the challenges posed by Big Data – Volume, Velocity, Variety and Value of data and turn them into insights and actionable knowledge.
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I am an avid learner of computer science principles and big data mining. Please visit my blog http://www.zettab.com/ .
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Skills
★ Big Data: Hadoop, HDFS, HBase, Map Reduce, BigSQL, Hive, Pig,
Java, Python, YARN, Spark, Scala
★ Mining: Collaborative filtering, Naive bayes classification, LSH, TF-IDF
★ UI: C#, LabView, VB
★ Embedded programming: 8051, MSP430, PLC, DAQ
★ Pro...
Mots-clés
zettab.com
ashok rangaswamy
big data training in coimbatore
big data intelligence
zetta bytes
micro venture partner
new product development
sme
npd
seed fund
micro lending
research process outsourcing
education
kpo
open cloud care
healthcare
cloud computing
remote patient monitoring
national conference on research issues in big data
data mining of massive datasets
keynote address
big data mining
jeffrey d. ullman
intelligence
can machines think
turing test
connect the dots
splunk
nielsen's law
moore's law
analytics
variety
velocity
kryder's law
hadoop
big data
coimbatore
training
volume
palantir
Tout plus
Présentations
(3)Documents
(2)J’aime
(27)Map(), flatmap() and reduce() are your new best friends: simpler collections, concurrency, and big data (jax, jax2014)
Chris Richardson
•
il y a 9 ans
Scala+data
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Why hadoop map reduce needs scala, an introduction to scoobi and scalding
Xebia Nederland BV
•
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BDI- The Beginning (Big data training in Coimbatore)
Ashok Rangaswamy
•
il y a 8 ans
Apache Kafka 0.8 basic training - Verisign
Michael Noll
•
il y a 9 ans
Apache Storm 0.9 basic training - Verisign
Michael Noll
•
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Distributed deep learning_over_spark_20_nov_2014_ver_2.8
Vijay Srinivas Agneeswaran, Ph.D
•
il y a 9 ans
Real-time Stream Processing with Apache Flink @ Hadoop Summit
Gyula Fóra
•
il y a 9 ans
Internet of Things Crash Course Workshop at Hadoop Summit
DataWorks Summit
•
il y a 8 ans
Low Latency Streaming Data Processing in Hadoop
InSemble
•
il y a 9 ans
Hadoop and big data
Sharad Pandey
•
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Big data analytics & ibm watson
Palak Pandoh
•
il y a 8 ans
Adaptive pre-processing for streaming data
LARCA UPC
•
il y a 12 ans
Open problems big_data_19_feb_2015_ver_0.1
Vijay Srinivas Agneeswaran, Ph.D
•
il y a 9 ans
Getting Started with Big Data and HPC in the Cloud - August 2015
Amazon Web Services
•
il y a 8 ans
What is big data?
David Wellman
•
il y a 10 ans
Big Data Analytics in Energy & Utilities
Anders Quitzau
•
il y a 9 ans
Syoncloud big data for retail banking, Syoncloud
Ladislav Urban
•
il y a 10 ans
Introduction to Big Data/Machine Learning
Lars Marius Garshol
•
il y a 10 ans
Turning big data into big revenue
PwC
•
il y a 8 ans
Big Data & Hadoop Tutorial
Edureka!
•
il y a 10 ans
Big Data Trends
David Feinleib
•
il y a 11 ans
Big Education in the Era of Big Data-金國慶
台灣資料科學年會
•
il y a 8 ans
Big Data Analytics with Hadoop
Philippe Julio
•
il y a 14 ans
What is Big Data?
Bernard Marr
•
il y a 10 ans
Why Big Data is Such a Big Deal in Decision Making
Intelligent Software Solutions
•
il y a 8 ans
M Quiz Finals Corporate
Rohit Nair
•
il y a 14 ans
Personal Information
Entreprise/Lieu de travail
Coimbatore Area, India, Tamilnadu India
Profession
Big Data & IoT - Consultant
Site Web
https://bigzettab.wordpress.com/
À propos
Helping students and institutions to connect with industry leaders to understand the challenges posed by Big Data – Volume, Velocity, Variety and Value of data and turn them into insights and actionable knowledge.
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
I am an avid learner of computer science principles and big data mining. Please visit my blog http://www.zettab.com/ .
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Skills
★ Big Data: Hadoop, HDFS, HBase, Map Reduce, BigSQL, Hive, Pig,
Java, Python, YARN, Spark, Scala
★ Mining: Collaborative filtering, Naive bayes classification, LSH, TF-IDF
★ UI: C#, LabView, VB
★ Embedded programming: 8051, MSP430, PLC, DAQ
★ Pro...
Mots-clés
zettab.com
ashok rangaswamy
big data training in coimbatore
big data intelligence
zetta bytes
micro venture partner
new product development
sme
npd
seed fund
micro lending
research process outsourcing
education
kpo
open cloud care
healthcare
cloud computing
remote patient monitoring
national conference on research issues in big data
data mining of massive datasets
keynote address
big data mining
jeffrey d. ullman
intelligence
can machines think
turing test
connect the dots
splunk
nielsen's law
moore's law
analytics
variety
velocity
kryder's law
hadoop
big data
coimbatore
training
volume
palantir
Tout plus