Natalino Busa

149 Followers

20 SlideShares 149 Followers 125 Followings

20 SlideShares 149 Followers 125 Followings

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.

big data cassandra spark data science analytics hadoop machine learning akka data exploration scala python api realtime processing streaming computing core banking systems ai hive bigdata jupyter algorithms finance streaming data spray edw lambda architecture storm banking tensorflow keras ml deep learning cloud otap olap businness intelligence hbase ci map reduce. trending review nosql bi strata parallel computing marketing distributed computing marz boner gigaspaces pic memory computing 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

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Big data landscape

12 years ago • 3059 Views

Streaming computing: architectures, and tchnologies

11 years ago • 3408 Views

Strata 2014: Data science and big data trending topics

11 years ago • 1868 Views

Big Data and APIs - a recon tour on how to successfully do Big Data analytics

11 years ago • 1735 Views

Big and fast a quest for relevant and real-time analytics

11 years ago • 3033 Views

Yo. big data. understanding data science in the era of big data.

11 years ago • 1466 Views

Awesome Banking API's

11 years ago • 10105 Views

Big data solutions for advanced marketing analytics

11 years ago • 1531 Views

Hadoop + Cassandra: Fast queries on data lakes, and wikipedia search tutorial.

11 years ago • 4924 Views

Streaming Api Design with Akka, Scala and Spray

10 years ago • 3892 Views

Towards Real-Time banking API's: Introducing Coral, a web api for realtime streaming computing

10 years ago • 1933 Views

The evolution of data analytics

10 years ago • 7892 Views

Real-Time Anomaly Detection with Spark MLlib, Akka and Cassandra

9 years ago • 64899 Views

Data in Action

9 years ago • 498 Views

Strata London 16: sightseeing, venues, and friends

9 years ago • 525 Views

[Ai in finance] AI in regulatory compliance, risk management, and auditing

8 years ago • 1617 Views

Data science apps: beyond notebooks

8 years ago • 772 Views

7 steps for highly effective deep neural networks

8 years ago • 509 Views

Data science apps powered by Jupyter Notebooks

7 years ago • 2289 Views

Data Production Pipelines: Legacy, practices, and innovation

7 years ago • 469 Views

WTF - Why the Future Is Up to Us - pptx version

Tim O'Reilly • 8 years ago

Streaming Analytics

Neera Agarwal • 8 years ago

Real-time Streaming Analytics for Enterprises based on Apache Storm - Impetus StreamAnalytix Webinar

Impetus Technologies • 10 years ago

Stream Computing & Analytics at Uber

Sudhir Tonse • 9 years ago

Introduction to Streaming Analytics

Guido Schmutz • 9 years ago

Deep Learning Computer Build

PetteriTeikariPhD • 9 years ago

Enterprise Scale Topological Data Analysis Using Spark

Spark Summit • 9 years ago

word2vec - From theory to practice

hen_drik • 10 years ago

[Tutorial] building machine learning models for predictive maintenance applications - Yan Zhang

PAPIs.io • 9 years ago

Real time data processing with spark & cassandra @ NoSQLMatters 2015 Paris

Duyhai Doan • 10 years ago

Extending Data Lake using the Lambda Architecture June 2015

DataWorks Summit • 10 years ago

The Future of Hadoop by Arun Murthy, PMC Apache Hadoop & Cofounder Hortonworks

Data Con LA • 9 years ago

10 Lessons Learned from Building Machine Learning Systems

Xavier Amatriain • 10 years ago

10 more lessons learned from building Machine Learning systems

Xavier Amatriain • 9 years ago

Helsinki Spark Meetup Nov 20 2015

Chris Fregly • 9 years ago

Contexti / Oracle - Big Data : From Pilot to Production

Contexti • 10 years ago

Spark Summit EU 2015: Matei Zaharia keynote

Databricks • 9 years ago

Topological data analysis

Sunghyon Kyeong • 11 years ago

In-Memory Computing: Myths and Facts

DATAVERSITY • 11 years ago

Apache Flink: API, runtime, and project roadmap

Kostas Tzoumas • 10 years ago

Implementing the Lambda Architecture efficiently with Apache Spark

DataWorks Summit • 10 years ago

Have Your Cake and Eat It Too -- Further Dispelling the Myths of the Lambda Architecture

C4Media • 10 years ago

MillWheel Fault-Tolerant Stream Processing at Internet Scaleの意訳

x1 ichi • 9 years ago

A Data Frame Abstraction Layer for SparkR-(Chris Freeman, Alteryx)

Spark Summit • 10 years ago

PySpark Best Practices

Cloudera, Inc. • 9 years ago

Solr and Elasticsearch, a performance study

Charlie Hull • 10 years ago

Spark cassandra connector.API, Best Practices and Use-Cases

Duyhai Doan • 10 years ago

Beyond the Query: A Cassandra + Solr + Spark Love Triangle Using Datastax Enterprise (English)

DataStax Academy • 10 years ago

PegaWorld 2014 Presentation: The Government BPM Journey

Pegasystems • 11 years ago

Streaming Big Data with Spark, Kafka, Cassandra, Akka & Scala (from webinar)

Helena Edelson • 10 years ago

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.

big data cassandra spark data science analytics hadoop machine learning akka data exploration scala python api realtime processing streaming computing core banking systems ai hive bigdata jupyter algorithms finance streaming data spray edw lambda architecture storm banking tensorflow keras ml deep learning cloud otap olap businness intelligence hbase ci map reduce. trending review nosql bi strata parallel computing marketing distributed computing marz boner gigaspaces pic memory computing 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

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