ºÝºÝߣshows by User: KaufmanNg / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: KaufmanNg / Sat, 16 Sep 2017 02:26:03 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: KaufmanNg Deploying Kafka on DC/OS /slideshow/deploying-kafka-on-dcos/79825593 kafkaondcos-170916022603
My MesosCon NA 2017 talk slide deck]]>
My MesosCon NA 2017 talk slide deck]]> Sat, 16 Sep 2017 02:26:03 GMT /slideshow/deploying-kafka-on-dcos/79825593 KaufmanNg@slideshare.net(KaufmanNg) Deploying Kafka on DC/OS KaufmanNg My MesosCon NA 2017 talk slide deck <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kafkaondcos-170916022603-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> My MesosCon NA 2017 talk slide deck
Deploying Kafka on DC/OS from Kaufman Ng
]]> 1052 3 https://cdn.slidesharecdn.com/ss_thumbnails/kafkaondcos-170916022603-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Data Pipelines with Kafka Connect /slideshow/data-pipelines-with-kafka-connect/66040582 kafkaconnectnjmeetup-160915023539
In this presentation we describe the design and implementation of Kafka Connect, Kafka’s new tool for scalable, fault-tolerant data import and export. First we’ll discuss some existing tools in the space and why they fall short when applied to data integration at large scale. Next, we will explore Kafka Connect’s design and how it compares to systems with similar goals, discussing key design decisions that trade off between ease of use for connector developers, operational complexity, and reuse of existing connectors. Finally, we’ll discuss how standardizing on Kafka Connect can ultimately lead to simplifying your entire data pipeline, making ETL into your data warehouse and enabling stream processing applications as simple as adding another Kafka connector.]]>
In this presentation we describe the design and implementation of Kafka Connect, Kafka’s new tool for scalable, fault-tolerant data import and export. First we’ll discuss some existing tools in the space and why they fall short when applied to data integration at large scale. Next, we will explore Kafka Connect’s design and how it compares to systems with similar goals, discussing key design decisions that trade off between ease of use for connector developers, operational complexity, and reuse of existing connectors. Finally, we’ll discuss how standardizing on Kafka Connect can ultimately lead to simplifying your entire data pipeline, making ETL into your data warehouse and enabling stream processing applications as simple as adding another Kafka connector.]]> Thu, 15 Sep 2016 02:35:39 GMT /slideshow/data-pipelines-with-kafka-connect/66040582 KaufmanNg@slideshare.net(KaufmanNg) Data Pipelines with Kafka Connect KaufmanNg In this presentation we describe the design and implementation of Kafka Connect, Kafka’s new tool for scalable, fault-tolerant data import and export. First we’ll discuss some existing tools in the space and why they fall short when applied to data integration at large scale. Next, we will explore Kafka Connect’s design and how it compares to systems with similar goals, discussing key design decisions that trade off between ease of use for connector developers, operational complexity, and reuse of existing connectors. Finally, we’ll discuss how standardizing on Kafka Connect can ultimately lead to simplifying your entire data pipeline, making ETL into your data warehouse and enabling stream processing applications as simple as adding another Kafka connector. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kafkaconnectnjmeetup-160915023539-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this presentation we describe the design and implementation of Kafka Connect, Kafka’s new tool for scalable, fault-tolerant data import and export. First we’ll discuss some existing tools in the space and why they fall short when applied to data integration at large scale. Next, we will explore Kafka Connect’s design and how it compares to systems with similar goals, discussing key design decisions that trade off between ease of use for connector developers, operational complexity, and reuse of existing connectors. Finally, we’ll discuss how standardizing on Kafka Connect can ultimately lead to simplifying your entire data pipeline, making ETL into your data warehouse and enabling stream processing applications as simple as adding another Kafka connector.
Data Pipelines with Kafka Connect from Kaufman Ng
]]> 10283 12 https://cdn.slidesharecdn.com/ss_thumbnails/kafkaconnectnjmeetup-160915023539-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-KaufmanNg-48x48.jpg?cb=1527307064 Seasoned technologist with years of professional services experience. I have exposure to a wide spectrum of technologies from web application frameworks to Big Data. I have also done system administration/devops. Particularly interested in Big Data technologies (Hadoop), web development, NOSQL databases, and DevOps. Specialties: System Architecture, Agile developement, Java, J2EE, Ruby on Rails, Apache Lucene and Solr, NOSQL databases, building scalable web applications, DevOps https://cdn.slidesharecdn.com/ss_thumbnails/kafkaondcos-170916022603-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/deploying-kafka-on-dcos/79825593 Deploying Kafka on DC/OS https://cdn.slidesharecdn.com/ss_thumbnails/kafkaconnectnjmeetup-160915023539-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/data-pipelines-with-kafka-connect/66040582 Data Pipelines with Ka...