ºÝºÝߣshows by User: bgeerdink / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: bgeerdink / Fri, 09 Jun 2017 12:24:48 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: bgeerdink Fast Data at ING – the why, what and how of the streaming analytics platform in a financial enterprise /slideshow/fast-data-at-ing-the-why-what-and-how-of-the-streaming-analytics-platform-in-a-financial-enterprise/76798104 streaminganalyticsating-flinkmeetup-basgeerdink-170609122449
Presented at the Spark/Flink meetup during the Dutch Data Science Week 2017]]>
Presented at the Spark/Flink meetup during the Dutch Data Science Week 2017]]> Fri, 09 Jun 2017 12:24:48 GMT /slideshow/fast-data-at-ing-the-why-what-and-how-of-the-streaming-analytics-platform-in-a-financial-enterprise/76798104 bgeerdink@slideshare.net(bgeerdink) Fast Data at ING – the why, what and how of the streaming analytics platform in a financial enterprise bgeerdink Presented at the Spark/Flink meetup during the Dutch Data Science Week 2017 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/streaminganalyticsating-flinkmeetup-basgeerdink-170609122449-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presented at the Spark/Flink meetup during the Dutch Data Science Week 2017
Fast Data at ING – the why, what and how of the streaming analytics platform in a financial enterprise from Bas Geerdink
]]> 1387 5 https://cdn.slidesharecdn.com/ss_thumbnails/streaminganalyticsating-flinkmeetup-basgeerdink-170609122449-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Fast Data Intelligence in the IoT - real-time data analytics with Spark /slideshow/fast-data-intelligence-in-the-iot-realtime-data-analytics-with-spark/60947127 iottechday2016basgeerdink-160415084225
This is the presentation of my session at the IoT Tech Day on 14 April 2016.]]>
This is the presentation of my session at the IoT Tech Day on 14 April 2016.]]> Fri, 15 Apr 2016 08:42:25 GMT /slideshow/fast-data-intelligence-in-the-iot-realtime-data-analytics-with-spark/60947127 bgeerdink@slideshare.net(bgeerdink) Fast Data Intelligence in the IoT - real-time data analytics with Spark bgeerdink This is the presentation of my session at the IoT Tech Day on 14 April 2016. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iottechday2016basgeerdink-160415084225-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This is the presentation of my session at the IoT Tech Day on 14 April 2016.
Fast Data Intelligence in the IoT - real-time data analytics with Spark from Bas Geerdink
]]> 768 4 https://cdn.slidesharecdn.com/ss_thumbnails/iottechday2016basgeerdink-160415084225-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Fortune Teller API - Doing Data Science with Apache Spark /slideshow/fortune-teller-api-doing-data-science-with-apache-spark/52486657 fortunetellerapi-150907075803-lva1-app6891
This presentation of the Endpoint 2015 conference gives an overview of a short data science project: predicting the future happiness of a person, as if he or she walks into a circus tent! First, the domain problem is analyzed. Then, the data is gathered and analyzed. Finally a linear regression model is created and the app is published in the form of a REST API. The technology that is demoed is using Apache Spark and Zeppelin, and can be found on Github: https://github.com/geerdink/FortuneTellerApi]]>
This presentation of the Endpoint 2015 conference gives an overview of a short data science project: predicting the future happiness of a person, as if he or she walks into a circus tent! First, the domain problem is analyzed. Then, the data is gathered and analyzed. Finally a linear regression model is created and the app is published in the form of a REST API. The technology that is demoed is using Apache Spark and Zeppelin, and can be found on Github: https://github.com/geerdink/FortuneTellerApi]]> Mon, 07 Sep 2015 07:58:03 GMT /slideshow/fortune-teller-api-doing-data-science-with-apache-spark/52486657 bgeerdink@slideshare.net(bgeerdink) Fortune Teller API - Doing Data Science with Apache Spark bgeerdink This presentation of the Endpoint 2015 conference gives an overview of a short data science project: predicting the future happiness of a person, as if he or she walks into a circus tent! First, the domain problem is analyzed. Then, the data is gathered and analyzed. Finally a linear regression model is created and the app is published in the form of a REST API. The technology that is demoed is using Apache Spark and Zeppelin, and can be found on Github: https://github.com/geerdink/FortuneTellerApi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fortunetellerapi-150907075803-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This presentation of the Endpoint 2015 conference gives an overview of a short data science project: predicting the future happiness of a person, as if he or she walks into a circus tent! First, the domain problem is analyzed. Then, the data is gathered and analyzed. Finally a linear regression model is created and the app is published in the form of a REST API. The technology that is demoed is using Apache Spark and Zeppelin, and can be found on Github: https://github.com/geerdink/FortuneTellerApi
Fortune Teller API - Doing Data Science with Apache Spark from Bas Geerdink
]]> 1284 13 https://cdn.slidesharecdn.com/ss_thumbnails/fortunetellerapi-150907075803-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-bgeerdink-48x48.jpg?cb=1542961139 I am an IT manager with a strong history in application development and architecture. In my work, I try to find creative and pragmatic solutions for customers. I like to motivate people, and encourage colleagues to strive for the best. At ING, as leader the Fast Data chapter I work with a talented group of data engineers to build software with Hadoop, Spark, Flink, Cassandra, Kafka and continuous delivery tooling. I am responsible for the architecture, security and delivery of several APIs that provide streaming analytics capabilities to our customers. My specialties are: IT management, architecture, informatics, application development, big data, fast data. I am a regular speaker at co... https://cdn.slidesharecdn.com/ss_thumbnails/streaminganalyticsating-flinkmeetup-basgeerdink-170609122449-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/fast-data-at-ing-the-why-what-and-how-of-the-streaming-analytics-platform-in-a-financial-enterprise/76798104 Fast Data at ING – the... https://cdn.slidesharecdn.com/ss_thumbnails/iottechday2016basgeerdink-160415084225-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/fast-data-intelligence-in-the-iot-realtime-data-analytics-with-spark/60947127 Fast Data Intelligence... https://cdn.slidesharecdn.com/ss_thumbnails/fortunetellerapi-150907075803-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/fortune-teller-api-doing-data-science-with-apache-spark/52486657 Fortune Teller API - D...