Personal Information
Organization / Workplace
Greater Los Angeles Area, CA United States
Occupation
Big Data Artist, Professor at CalStateLA, Council Member of Spark Technology Center, Databricks/CAP Training Partner
Industry
Technology / Software / Internet
About
My grad students are ready in Hadoop Big Data Analysis and Science positions.
Besides, if you have any Big Data Analysis and Science project to collaborate, contact me.
Specialties: Big Data Analysis, Science, Visualization using Hadoop Spark with experiences in certifications (Cloudera Certified HBase, Developer, Admin / Instructor), Databricks/Cloudera CAP Educational Partner, Spark, MapReduce, HBase, Solr, Couchbase/MongoDB, n-Tier Architecture, Information Retrieval, Information Integration, Business Intelligence, Data Mining, Text Mining, Parallel and Distributed Computing, Mobile Cloud Computing.
Tags
big data
hadoop
spark
use cases
distributed deep learning
azure
korea
predictive analysis
ai
machine learning
mapreduce
history
deeplearning
hive
bigdata
giraph
nosql
ksea
xiungno
shilla
koguryo
chosun
mongol
hun
spark ml
big data scienece
deep learning
bigdai
cloud computing
ideas
fraud detection
elasticsearch
open data
ibm
dashdb
alphago
sedol
hdinsights
yarn
flume
education
ecosystems
cloudera
korean american scientist and engineers associatio
japan
kaya
old chosun
great wall
dan-goon
baekje
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mandalin shaped dagger
dolmen
tenguli
manchuria
pennylane
qml
qiskit-machine-learning
bigdl
h2o sparkling water
rapid
airbnb rating
scalable computing
distributed parallel computing
gpu
rapids
scalable predictive analysis
#bigdata
amazon review rating
analytics zoo
icon2019
open innovation network
outstanding paper award
apic-ist
traffic
traffic data analysis
calstatela
history of big data
adclick
socal2018
financial fraud detection
emr
aws
smart factory
tensorflow
hyoongno
tomb
pyungyang
nakrang
visualization
twitter
use case
open platform
data analysis
spark sql
hadoop training
fintech
fss
sec
python
scala
cloudera quick tutorial
word count
mrunit test
big data hadoop tutorial
chip design
semiconductor
use cases in science
testing
mrtest
big data training
shark
data intensive computing
the power of women in goryeo dynasity
khan
41st
samsung
pit
market basket analysis
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Presentations
(47)Likes
(188)Predictive Analysis for Airbnb Listing Rating using Scalable Big Data Platform
Savita Yadav
•
2 years ago
Running Emerging AI Applications on Big Data Platforms with Ray On Apache Spark
Databricks
•
3 years ago
Assessing Drug Safety Using AI
Databricks
•
4 years ago
Distributed Deep Learning with Apache Spark and TensorFlow with Jim Dowling
Databricks
•
5 years ago
New Directions in pySpark for Time Series Analysis: Spark Summit East talk by David Palaitis
Spark Summit
•
7 years ago
Time Series Analysis with Spark by Sandy Ryza
Spark Summit
•
8 years ago
Scalable Time Series Forecasting and Monitoring using Apache Spark and ElasticSearch at Adye
Databricks
•
4 years ago
Automated Time Series Analysis using Deep Learning, Ray and Analytics Zoo
Jason Dai
•
4 years ago
Leveraging NLP and Deep Learning for Document Recommendations in the Cloud
Databricks
•
4 years ago
BigDL: Bringing Ease of Use of Deep Learning for Apache Spark with Jason Dai and Radhika Rangarajan
Databricks
•
6 years ago
Distributed Inference on Large Datasets Using Apache MXNet and Apache Spark with Naveen Swamy
Databricks
•
5 years ago
SFScon17 - Patrick Puecher: "Exploring data with Elasticsearch and Kibana"
South Tyrol Free Software Conference
•
6 years ago
Flintrock: A Faster, Better spark-ec2 by Nicholas Chammas
Spark Summit
•
8 years ago
Elasticsearch: Getting Started Part 3 Aggregations
Suyog Kale
•
6 years ago
Elasticsearch Basics
Shifa Khan
•
10 years ago
Big Data on Azure Tutorial
rustd
•
6 years ago
Crime pattern analysis_using_hadoop_big_data
Neha gupta
•
6 years ago
AdClickFraud_Bigdata-Apic-Ist-2019
Neha gupta
•
4 years ago
Deploying Data Science Engines to Production
Mostafa Majidpour
•
5 years ago
AI and Spark - IBM Community AI Day
Nick Pentreath
•
5 years ago
How to Productionize Your Machine Learning Models Using Apache Spark MLlib 2.x with Richard Garris
Databricks
•
6 years ago
딥러닝프레임워크비교
Junyi Song
•
7 years ago
Deep Learning with Spark
Anastasia Bobyreva
•
6 years ago
Part 1: Introducing the Cloudera Data Science Workbench
Cloudera, Inc.
•
7 years ago
Spark machine learning & deep learning
hoondong kim
•
7 years ago
Data Science Competition
Jeong-Yoon Lee
•
7 years ago
Sparkly Notebook: Interactive Analysis and Visualization with Spark
felixcss
•
9 years ago
How To Create An Impacting Startup Name
Tommaso Di Bartolo
•
7 years ago
Secrets to a Great Team
Elodie A.
•
7 years ago
Personal Information
Organization / Workplace
Greater Los Angeles Area, CA United States
Occupation
Big Data Artist, Professor at CalStateLA, Council Member of Spark Technology Center, Databricks/CAP Training Partner
Industry
Technology / Software / Internet
About
My grad students are ready in Hadoop Big Data Analysis and Science positions.
Besides, if you have any Big Data Analysis and Science project to collaborate, contact me.
Specialties: Big Data Analysis, Science, Visualization using Hadoop Spark with experiences in certifications (Cloudera Certified HBase, Developer, Admin / Instructor), Databricks/Cloudera CAP Educational Partner, Spark, MapReduce, HBase, Solr, Couchbase/MongoDB, n-Tier Architecture, Information Retrieval, Information Integration, Business Intelligence, Data Mining, Text Mining, Parallel and Distributed Computing, Mobile Cloud Computing.
Tags
big data
hadoop
spark
use cases
distributed deep learning
azure
korea
predictive analysis
ai
machine learning
mapreduce
history
deeplearning
hive
bigdata
giraph
nosql
ksea
xiungno
shilla
koguryo
chosun
mongol
hun
spark ml
big data scienece
deep learning
bigdai
cloud computing
ideas
fraud detection
elasticsearch
open data
ibm
dashdb
alphago
sedol
hdinsights
yarn
flume
education
ecosystems
cloudera
korean american scientist and engineers associatio
japan
kaya
old chosun
great wall
dan-goon
baekje
china
mandalin shaped dagger
dolmen
tenguli
manchuria
pennylane
qml
qiskit-machine-learning
bigdl
h2o sparkling water
rapid
airbnb rating
scalable computing
distributed parallel computing
gpu
rapids
scalable predictive analysis
#bigdata
amazon review rating
analytics zoo
icon2019
open innovation network
outstanding paper award
apic-ist
traffic
traffic data analysis
calstatela
history of big data
adclick
socal2018
financial fraud detection
emr
aws
smart factory
tensorflow
hyoongno
tomb
pyungyang
nakrang
visualization
twitter
use case
open platform
data analysis
spark sql
hadoop training
fintech
fss
sec
python
scala
cloudera quick tutorial
word count
mrunit test
big data hadoop tutorial
chip design
semiconductor
use cases in science
testing
mrtest
big data training
shark
data intensive computing
the power of women in goryeo dynasity
khan
41st
samsung
pit
market basket analysis
hbase
ksea-sc
ukc 2011
chapter presidents
market basket ana
gija
kim
wiman
the hun
See more