ºÝºÝߣshows by User: aksmlore / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: aksmlore / Wed, 03 Nov 2021 21:02:16 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: aksmlore Trino at linkedIn - 2021 /slideshow/trino-at-linkedin-2021/250586696 trinoatlinkedin-starburst20211-211103210217
LinkedIn started its Trino journey back in 2015 and has been an active contributor in the community. We have been witnessing massive growth YoY and our workload has been exponentially growing with more than 5k unique users, processing 100s of PB, millions of queries and quadrillions of rows every week. Trino at LinkedIn is used for a diverse variety of use cases like detecting fraud and abuse, data scientists measure impact of COVID on economic and jobs landscape, ​​engineers run ad hoc analysis to debug production issues, business analysts build robust data driven offering to help salespeople make smarter decisions, site-reliability engineers analyze internal system performances and more. In this talk, we will go through Trino's growth at LinkedIn, how it fits into our data ecosystem, some of our operating challenges and dive into a few of our use cases. We'll also talk about our learnings, contributions, and philosophy on open source and what has worked well for us.]]>

LinkedIn started its Trino journey back in 2015 and has been an active contributor in the community. We have been witnessing massive growth YoY and our workload has been exponentially growing with more than 5k unique users, processing 100s of PB, millions of queries and quadrillions of rows every week. Trino at LinkedIn is used for a diverse variety of use cases like detecting fraud and abuse, data scientists measure impact of COVID on economic and jobs landscape, ​​engineers run ad hoc analysis to debug production issues, business analysts build robust data driven offering to help salespeople make smarter decisions, site-reliability engineers analyze internal system performances and more. In this talk, we will go through Trino's growth at LinkedIn, how it fits into our data ecosystem, some of our operating challenges and dive into a few of our use cases. We'll also talk about our learnings, contributions, and philosophy on open source and what has worked well for us.]]>
Wed, 03 Nov 2021 21:02:16 GMT /slideshow/trino-at-linkedin-2021/250586696 aksmlore@slideshare.net(aksmlore) Trino at linkedIn - 2021 aksmlore LinkedIn started its Trino journey back in 2015 and has been an active contributor in the community. We have been witnessing massive growth YoY and our workload has been exponentially growing with more than 5k unique users, processing 100s of PB, millions of queries and quadrillions of rows every week. Trino at LinkedIn is used for a diverse variety of use cases like detecting fraud and abuse, data scientists measure impact of COVID on economic and jobs landscape, ​​engineers run ad hoc analysis to debug production issues, business analysts build robust data driven offering to help salespeople make smarter decisions, site-reliability engineers analyze internal system performances and more. In this talk, we will go through Trino's growth at LinkedIn, how it fits into our data ecosystem, some of our operating challenges and dive into a few of our use cases. We'll also talk about our learnings, contributions, and philosophy on open source and what has worked well for us. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/trinoatlinkedin-starburst20211-211103210217-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> LinkedIn started its Trino journey back in 2015 and has been an active contributor in the community. We have been witnessing massive growth YoY and our workload has been exponentially growing with more than 5k unique users, processing 100s of PB, millions of queries and quadrillions of rows every week. Trino at LinkedIn is used for a diverse variety of use cases like detecting fraud and abuse, data scientists measure impact of COVID on economic and jobs landscape, ​​engineers run ad hoc analysis to debug production issues, business analysts build robust data driven offering to help salespeople make smarter decisions, site-reliability engineers analyze internal system performances and more. In this talk, we will go through Trino&#39;s growth at LinkedIn, how it fits into our data ecosystem, some of our operating challenges and dive into a few of our use cases. We&#39;ll also talk about our learnings, contributions, and philosophy on open source and what has worked well for us.
Trino at linkedIn - 2021 from Akshay Rai
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ThirdEye - LinkedIn's Business-wide monitoring platform /slideshow/thirdeye-linkedins-businesswide-monitoring-platform/178412377 thirdeye-akshayrai-stratany-2019-191002061424
Presented at the Strata Data Conference, NY - Sept. 2019]]>

Presented at the Strata Data Conference, NY - Sept. 2019]]>
Wed, 02 Oct 2019 06:14:24 GMT /slideshow/thirdeye-linkedins-businesswide-monitoring-platform/178412377 aksmlore@slideshare.net(aksmlore) ThirdEye - LinkedIn's Business-wide monitoring platform aksmlore Presented at the Strata Data Conference, NY - Sept. 2019 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thirdeye-akshayrai-stratany-2019-191002061424-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presented at the Strata Data Conference, NY - Sept. 2019
ThirdEye - LinkedIn's Business-wide monitoring platform from Akshay Rai
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Dr. Elephant – Achieving Quicker, Easier, and Cost-Effective Big Data Analytics with Spark /slideshow/dr-elephant-achieving-quicker-easier-and-costeffective-big-data-analytics-with-spark/83798296 dr-171210174246
Linkedin Spark Meetup - Dec 9th 2017 #LinkedinSpark]]>

Linkedin Spark Meetup - Dec 9th 2017 #LinkedinSpark]]>
Sun, 10 Dec 2017 17:42:45 GMT /slideshow/dr-elephant-achieving-quicker-easier-and-costeffective-big-data-analytics-with-spark/83798296 aksmlore@slideshare.net(aksmlore) Dr. Elephant – Achieving Quicker, Easier, and Cost-Effective Big Data Analytics with Spark aksmlore Linkedin Spark Meetup - Dec 9th 2017 #LinkedinSpark <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dr-171210174246-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Linkedin Spark Meetup - Dec 9th 2017 #LinkedinSpark
Dr. Elephant – Achieving Quicker, Easier, and Cost-Effective Big Data Analytics with Spark from Akshay Rai
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The Fifth Elephant 2016: Self-Serve Performance Tuning for Hadoop and Spark /slideshow/the-fifth-elephant-2016-selfserve-performance-tuning-for-hadoop-and-spark/64521974 dr-160729182405
Dr. Elephant is a self serve performance monitoring and tuning tool for the users who run Hadoop and Spark jobs. Conference Link: https://fifthelephant.talkfunnel.com/2016/19-dr-elephant-self-serve-performance-tuning-for-hado Github Repo & Documentation: https://github.com/linkedin/dr-elephant Mailing List: https://groups.google.com/forum/#!forum/dr-elephant-users ]]>

Dr. Elephant is a self serve performance monitoring and tuning tool for the users who run Hadoop and Spark jobs. Conference Link: https://fifthelephant.talkfunnel.com/2016/19-dr-elephant-self-serve-performance-tuning-for-hado Github Repo & Documentation: https://github.com/linkedin/dr-elephant Mailing List: https://groups.google.com/forum/#!forum/dr-elephant-users ]]>
Fri, 29 Jul 2016 18:24:05 GMT /slideshow/the-fifth-elephant-2016-selfserve-performance-tuning-for-hadoop-and-spark/64521974 aksmlore@slideshare.net(aksmlore) The Fifth Elephant 2016: Self-Serve Performance Tuning for Hadoop and Spark aksmlore Dr. Elephant is a self serve performance monitoring and tuning tool for the users who run Hadoop and Spark jobs. Conference Link: https://fifthelephant.talkfunnel.com/2016/19-dr-elephant-self-serve-performance-tuning-for-hado Github Repo & Documentation: https://github.com/linkedin/dr-elephant Mailing List: https://groups.google.com/forum/#!forum/dr-elephant-users <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dr-160729182405-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Dr. Elephant is a self serve performance monitoring and tuning tool for the users who run Hadoop and Spark jobs. Conference Link: https://fifthelephant.talkfunnel.com/2016/19-dr-elephant-self-serve-performance-tuning-for-hado Github Repo &amp; Documentation: https://github.com/linkedin/dr-elephant Mailing List: https://groups.google.com/forum/#!forum/dr-elephant-users
The Fifth Elephant 2016: Self-Serve Performance Tuning for Hadoop and Spark from Akshay Rai
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Hadoop & Spark Performance tuning using Dr. Elephant /slideshow/hadoop-spark-performance-tuning-using-dr-elephant/62522331 dr-160530025740
Dr. Elephant is a tool for the users of Hadoop to help them understand, analyze and tune their Hadoop/Spark applications easily, thus improving their productivity and the cluster’s efficiency. It analyzes the Hadoop and Spark jobs using a set of pluggable, configurable, rule-based heuristics that provide insights on how a job performed, and then uses the results to make suggestions about how to tune the job to make it perform more efficiently.]]>

Dr. Elephant is a tool for the users of Hadoop to help them understand, analyze and tune their Hadoop/Spark applications easily, thus improving their productivity and the cluster’s efficiency. It analyzes the Hadoop and Spark jobs using a set of pluggable, configurable, rule-based heuristics that provide insights on how a job performed, and then uses the results to make suggestions about how to tune the job to make it perform more efficiently.]]>
Mon, 30 May 2016 02:57:40 GMT /slideshow/hadoop-spark-performance-tuning-using-dr-elephant/62522331 aksmlore@slideshare.net(aksmlore) Hadoop & Spark Performance tuning using Dr. Elephant aksmlore Dr. Elephant is a tool for the users of Hadoop to help them understand, analyze and tune their Hadoop/Spark applications easily, thus improving their productivity and the cluster’s efficiency. It analyzes the Hadoop and Spark jobs using a set of pluggable, configurable, rule-based heuristics that provide insights on how a job performed, and then uses the results to make suggestions about how to tune the job to make it perform more efficiently. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dr-160530025740-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Dr. Elephant is a tool for the users of Hadoop to help them understand, analyze and tune their Hadoop/Spark applications easily, thus improving their productivity and the cluster’s efficiency. It analyzes the Hadoop and Spark jobs using a set of pluggable, configurable, rule-based heuristics that provide insights on how a job performed, and then uses the results to make suggestions about how to tune the job to make it perform more efficiently.
Hadoop & Spark Performance tuning using Dr. Elephant from Akshay Rai
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https://cdn.slidesharecdn.com/profile-photo-aksmlore-48x48.jpg?cb=1635973190 https://cdn.slidesharecdn.com/ss_thumbnails/trinoatlinkedin-starburst20211-211103210217-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/trino-at-linkedin-2021/250586696 Trino at linkedIn - 2021 https://cdn.slidesharecdn.com/ss_thumbnails/thirdeye-akshayrai-stratany-2019-191002061424-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/thirdeye-linkedins-businesswide-monitoring-platform/178412377 ThirdEye - LinkedIn&#39;s ... https://cdn.slidesharecdn.com/ss_thumbnails/dr-171210174246-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/dr-elephant-achieving-quicker-easier-and-costeffective-big-data-analytics-with-spark/83798296 Dr. Elephant – Achievi...