ºÝºÝߣshows by User: AdamDoyle11 / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: AdamDoyle11 / Wed, 13 Jul 2022 13:35:28 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: AdamDoyle11 ML Ops.pptx /slideshow/ml-opspptx/252175066 mlops-220713133528-f312398d
ML Ops presentation from 7/6/22 St. Louis Big Data IDEA meeting. ML Ops is the process of applying DevOps concepts to machine learning applications. ]]>

ML Ops presentation from 7/6/22 St. Louis Big Data IDEA meeting. ML Ops is the process of applying DevOps concepts to machine learning applications. ]]>
Wed, 13 Jul 2022 13:35:28 GMT /slideshow/ml-opspptx/252175066 AdamDoyle11@slideshare.net(AdamDoyle11) ML Ops.pptx AdamDoyle11 ML Ops presentation from 7/6/22 St. Louis Big Data IDEA meeting. ML Ops is the process of applying DevOps concepts to machine learning applications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mlops-220713133528-f312398d-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ML Ops presentation from 7/6/22 St. Louis Big Data IDEA meeting. ML Ops is the process of applying DevOps concepts to machine learning applications.
ML Ops.pptx from Adam Doyle
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Data Engineering Roles /slideshow/data-engineering-roles/250770930 dataengineeringroles-211202142041
ºÝºÝߣs from the December 2021 St. Louis Big Data IDEA meeting. Adam Doyle discussed different microroles that Data Engineers may be embodying.]]>

ºÝºÝߣs from the December 2021 St. Louis Big Data IDEA meeting. Adam Doyle discussed different microroles that Data Engineers may be embodying.]]>
Thu, 02 Dec 2021 14:20:41 GMT /slideshow/data-engineering-roles/250770930 AdamDoyle11@slideshare.net(AdamDoyle11) Data Engineering Roles AdamDoyle11 ºÝºÝߣs from the December 2021 St. Louis Big Data IDEA meeting. Adam Doyle discussed different microroles that Data Engineers may be embodying. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataengineeringroles-211202142041-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs from the December 2021 St. Louis Big Data IDEA meeting. Adam Doyle discussed different microroles that Data Engineers may be embodying.
Data Engineering Roles from Adam Doyle
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Managed Cluster Services /slideshow/managed-cluster-services/249926244 managedclusterservices-210805131351
ºÝºÝߣs from the August 2021 St. Louis Big Data IDEA meeting from Sam Portillo. The presentation covers AWS EMR including comparisons to other similar projects and lessons learned. A recording is available in the comments for the meeting. ]]>

ºÝºÝߣs from the August 2021 St. Louis Big Data IDEA meeting from Sam Portillo. The presentation covers AWS EMR including comparisons to other similar projects and lessons learned. A recording is available in the comments for the meeting. ]]>
Thu, 05 Aug 2021 13:13:51 GMT /slideshow/managed-cluster-services/249926244 AdamDoyle11@slideshare.net(AdamDoyle11) Managed Cluster Services AdamDoyle11 ºÝºÝߣs from the August 2021 St. Louis Big Data IDEA meeting from Sam Portillo. The presentation covers AWS EMR including comparisons to other similar projects and lessons learned. A recording is available in the comments for the meeting. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/managedclusterservices-210805131351-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs from the August 2021 St. Louis Big Data IDEA meeting from Sam Portillo. The presentation covers AWS EMR including comparisons to other similar projects and lessons learned. A recording is available in the comments for the meeting.
Managed Cluster Services from Adam Doyle
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Delta lake and the delta architecture /slideshow/delta-lake-and-the-delta-architecture/249656950 deltalakeandthedeltaarchitecture-210708164703
ºÝºÝߣs from the July 2021 St. Louis Big Data IDEA meetup. Yue Fang presented on Delta Lake.]]>

ºÝºÝߣs from the July 2021 St. Louis Big Data IDEA meetup. Yue Fang presented on Delta Lake.]]>
Thu, 08 Jul 2021 16:47:03 GMT /slideshow/delta-lake-and-the-delta-architecture/249656950 AdamDoyle11@slideshare.net(AdamDoyle11) Delta lake and the delta architecture AdamDoyle11 ºÝºÝߣs from the July 2021 St. Louis Big Data IDEA meetup. Yue Fang presented on Delta Lake. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/deltalakeandthedeltaarchitecture-210708164703-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs from the July 2021 St. Louis Big Data IDEA meetup. Yue Fang presented on Delta Lake.
Delta lake and the delta architecture from Adam Doyle
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Great Expectations Presentation /slideshow/great-expectations-presentation-248937675/248937675 greatexpectationspresentation-210603130003
Presentation on Great Expectations for the St. Louis Big Data IDEA for the June 2021 meeting.]]>

Presentation on Great Expectations for the St. Louis Big Data IDEA for the June 2021 meeting.]]>
Thu, 03 Jun 2021 13:00:03 GMT /slideshow/great-expectations-presentation-248937675/248937675 AdamDoyle11@slideshare.net(AdamDoyle11) Great Expectations Presentation AdamDoyle11 Presentation on Great Expectations for the St. Louis Big Data IDEA for the June 2021 meeting. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/greatexpectationspresentation-210603130003-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation on Great Expectations for the St. Louis Big Data IDEA for the June 2021 meeting.
Great Expectations Presentation from Adam Doyle
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May 2021 Spark Testing ... or how to farm reputation on StackOverflow /slideshow/may-2021-spark-testing-or-how-to-farm-reputation-on-stackoverflow/247912386 may2021sparktestingstackoverflowbigdatameetup-210506154113
ºÝºÝߣs from the St. Louis Big Data IDEA meetup. Kit Menke presented on how to test your Apache Spark applications. May 2021 meetup notes]]>

ºÝºÝߣs from the St. Louis Big Data IDEA meetup. Kit Menke presented on how to test your Apache Spark applications. May 2021 meetup notes]]>
Thu, 06 May 2021 15:41:13 GMT /slideshow/may-2021-spark-testing-or-how-to-farm-reputation-on-stackoverflow/247912386 AdamDoyle11@slideshare.net(AdamDoyle11) May 2021 Spark Testing ... or how to farm reputation on StackOverflow AdamDoyle11 ºÝºÝߣs from the St. Louis Big Data IDEA meetup. Kit Menke presented on how to test your Apache Spark applications. May 2021 meetup notes <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/may2021sparktestingstackoverflowbigdatameetup-210506154113-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs from the St. Louis Big Data IDEA meetup. Kit Menke presented on how to test your Apache Spark applications. May 2021 meetup notes
May 2021 Spark Testing ... or how to farm reputation on StackOverflow from Adam Doyle
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Automate your data flows with Apache NIFI /AdamDoyle11/automate-your-data-flows-with-apache-nifi apachenifi-210408165021
ºÝºÝߣs from the April 2021 St. Louis Big Data IDEA meetup featuring Chris Lundeburg on Apache NiFI]]>

ºÝºÝߣs from the April 2021 St. Louis Big Data IDEA meetup featuring Chris Lundeburg on Apache NiFI]]>
Thu, 08 Apr 2021 16:50:21 GMT /AdamDoyle11/automate-your-data-flows-with-apache-nifi AdamDoyle11@slideshare.net(AdamDoyle11) Automate your data flows with Apache NIFI AdamDoyle11 ºÝºÝߣs from the April 2021 St. Louis Big Data IDEA meetup featuring Chris Lundeburg on Apache NiFI <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/apachenifi-210408165021-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs from the April 2021 St. Louis Big Data IDEA meetup featuring Chris Lundeburg on Apache NiFI
Automate your data flows with Apache NIFI from Adam Doyle
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Apache Iceberg Presentation for the St. Louis Big Data IDEA /slideshow/apache-iceberg-presentation-for-the-st-louis-big-data-idea/242265887 ideameetup-apacheiceberg-210204140722
Presentation on Apache Iceberg for the February 2021 St. Louis Big Data IDEA. Apache Iceberg is an alternative database platform that works with Hive and Spark.]]>

Presentation on Apache Iceberg for the February 2021 St. Louis Big Data IDEA. Apache Iceberg is an alternative database platform that works with Hive and Spark.]]>
Thu, 04 Feb 2021 14:07:22 GMT /slideshow/apache-iceberg-presentation-for-the-st-louis-big-data-idea/242265887 AdamDoyle11@slideshare.net(AdamDoyle11) Apache Iceberg Presentation for the St. Louis Big Data IDEA AdamDoyle11 Presentation on Apache Iceberg for the February 2021 St. Louis Big Data IDEA. Apache Iceberg is an alternative database platform that works with Hive and Spark. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ideameetup-apacheiceberg-210204140722-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation on Apache Iceberg for the February 2021 St. Louis Big Data IDEA. Apache Iceberg is an alternative database platform that works with Hive and Spark.
Apache Iceberg Presentation for the St. Louis Big Data IDEA from Adam Doyle
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Localized Hadoop Development /slideshow/localized-hadoop-development/241043151 localizedhadoopdevelopment-210107150401
ºÝºÝߣs from the January 2021 St. Louis Big Data IDEA meeting by Tim Bytnar regarding using Docker containers for a localized Hadoop development cluster. ]]>

ºÝºÝߣs from the January 2021 St. Louis Big Data IDEA meeting by Tim Bytnar regarding using Docker containers for a localized Hadoop development cluster. ]]>
Thu, 07 Jan 2021 15:04:01 GMT /slideshow/localized-hadoop-development/241043151 AdamDoyle11@slideshare.net(AdamDoyle11) Localized Hadoop Development AdamDoyle11 ºÝºÝߣs from the January 2021 St. Louis Big Data IDEA meeting by Tim Bytnar regarding using Docker containers for a localized Hadoop development cluster. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/localizedhadoopdevelopment-210107150401-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs from the January 2021 St. Louis Big Data IDEA meeting by Tim Bytnar regarding using Docker containers for a localized Hadoop development cluster.
Localized Hadoop Development from Adam Doyle
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The new big data /slideshow/the-new-big-data/238396115 thenewbigdata-200904233732
ºÝºÝߣs from Scott Shaw's September 2020 presentation to the St. Louis Big Data IDEA meetup on Big Data in 2020]]>

ºÝºÝߣs from Scott Shaw's September 2020 presentation to the St. Louis Big Data IDEA meetup on Big Data in 2020]]>
Fri, 04 Sep 2020 23:37:32 GMT /slideshow/the-new-big-data/238396115 AdamDoyle11@slideshare.net(AdamDoyle11) The new big data AdamDoyle11 ºÝºÝߣs from Scott Shaw's September 2020 presentation to the St. Louis Big Data IDEA meetup on Big Data in 2020 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thenewbigdata-200904233732-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs from Scott Shaw&#39;s September 2020 presentation to the St. Louis Big Data IDEA meetup on Big Data in 2020
The new big data from Adam Doyle
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Feature store Overview St. Louis Big Data IDEA Meetup aug 2020 /slideshow/feature-store-overview-st-louis-big-data-idea-meetup-aug-2020/237595773 featurestore-bigdataideaaug2020-200806002059
ºÝºÝߣs from the August 2020 St. Louis Big Data IDEA Meetup discussing feature stores Adam Doyle presenting. ]]>

ºÝºÝߣs from the August 2020 St. Louis Big Data IDEA Meetup discussing feature stores Adam Doyle presenting. ]]>
Thu, 06 Aug 2020 00:20:59 GMT /slideshow/feature-store-overview-st-louis-big-data-idea-meetup-aug-2020/237595773 AdamDoyle11@slideshare.net(AdamDoyle11) Feature store Overview St. Louis Big Data IDEA Meetup aug 2020 AdamDoyle11 ºÝºÝߣs from the August 2020 St. Louis Big Data IDEA Meetup discussing feature stores Adam Doyle presenting. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/featurestore-bigdataideaaug2020-200806002059-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs from the August 2020 St. Louis Big Data IDEA Meetup discussing feature stores Adam Doyle presenting.
Feature store Overview St. Louis Big Data IDEA Meetup aug 2020 from Adam Doyle
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Snowflake Data Science and AI/ML at Scale /slideshow/snowflake-data-science-and-aiml-at-scale/235059128 snowflakeideapreso-200605133045
ºÝºÝߣs from the June 2020 St. Louis Big Data IDEA meetup featuring using Snowflake for Data Science and AI/ML at Scale.]]>

ºÝºÝߣs from the June 2020 St. Louis Big Data IDEA meetup featuring using Snowflake for Data Science and AI/ML at Scale.]]>
Fri, 05 Jun 2020 13:30:45 GMT /slideshow/snowflake-data-science-and-aiml-at-scale/235059128 AdamDoyle11@slideshare.net(AdamDoyle11) Snowflake Data Science and AI/ML at Scale AdamDoyle11 ºÝºÝߣs from the June 2020 St. Louis Big Data IDEA meetup featuring using Snowflake for Data Science and AI/ML at Scale. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/snowflakeideapreso-200605133045-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs from the June 2020 St. Louis Big Data IDEA meetup featuring using Snowflake for Data Science and AI/ML at Scale.
Snowflake Data Science and AI/ML at Scale from Adam Doyle
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Operationalizing Data Science St. Louis Big Data IDEA /slideshow/operationalizing-data-science-st-louis-big-data-idea/231305256 operationalizingdatasciencebigdataideav2-200402162735
ºÝºÝߣs from the April Big Data IDEA meeting around Operationalizing Data Science]]>

ºÝºÝߣs from the April Big Data IDEA meeting around Operationalizing Data Science]]>
Thu, 02 Apr 2020 16:27:35 GMT /slideshow/operationalizing-data-science-st-louis-big-data-idea/231305256 AdamDoyle11@slideshare.net(AdamDoyle11) Operationalizing Data Science St. Louis Big Data IDEA AdamDoyle11 ºÝºÝߣs from the April Big Data IDEA meeting around Operationalizing Data Science <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/operationalizingdatasciencebigdataideav2-200402162735-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs from the April Big Data IDEA meeting around Operationalizing Data Science
Operationalizing Data Science St. Louis Big Data IDEA from Adam Doyle
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Retooling on the Modern Data and Analytics Tech Stack /slideshow/retooling-on-the-modern-data-and-analytics-tech-stack/229816405 tdwitraining-200306193352
Presentation to TDWI STL from Adam Doyle and Susan King on a framework for retooling on the modern data and analytics tech stack.]]>

Presentation to TDWI STL from Adam Doyle and Susan King on a framework for retooling on the modern data and analytics tech stack.]]>
Fri, 06 Mar 2020 19:33:52 GMT /slideshow/retooling-on-the-modern-data-and-analytics-tech-stack/229816405 AdamDoyle11@slideshare.net(AdamDoyle11) Retooling on the Modern Data and Analytics Tech Stack AdamDoyle11 Presentation to TDWI STL from Adam Doyle and Susan King on a framework for retooling on the modern data and analytics tech stack. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tdwitraining-200306193352-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation to TDWI STL from Adam Doyle and Susan King on a framework for retooling on the modern data and analytics tech stack.
Retooling on the Modern Data and Analytics Tech Stack from Adam Doyle
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Stl meetup cloudera platform - january 2020 /slideshow/stl-meetup-cloudera-platform-january-2020/217796778 stlmeetup-clouderaplatform-january2020-200109144553
ºÝºÝߣs from the January meeting of the St. Louis Big Data IDEA. The subject of the meeting was where is Cloudera in 2020.]]>

ºÝºÝߣs from the January meeting of the St. Louis Big Data IDEA. The subject of the meeting was where is Cloudera in 2020.]]>
Thu, 09 Jan 2020 14:45:52 GMT /slideshow/stl-meetup-cloudera-platform-january-2020/217796778 AdamDoyle11@slideshare.net(AdamDoyle11) Stl meetup cloudera platform - january 2020 AdamDoyle11 ºÝºÝߣs from the January meeting of the St. Louis Big Data IDEA. The subject of the meeting was where is Cloudera in 2020. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/stlmeetup-clouderaplatform-january2020-200109144553-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs from the January meeting of the St. Louis Big Data IDEA. The subject of the meeting was where is Cloudera in 2020.
Stl meetup cloudera platform - january 2020 from Adam Doyle
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How stlrda does data /slideshow/how-stlrda-does-data/204542786 howstlrdadoesdata-191211180228
ºÝºÝߣs from the December 2019 St. Louis Big Data IDEA meetup group. Jon Leek discussed how the St. Louis Regional Data Alliance ingests, stores, and reports on their data.]]>

ºÝºÝߣs from the December 2019 St. Louis Big Data IDEA meetup group. Jon Leek discussed how the St. Louis Regional Data Alliance ingests, stores, and reports on their data.]]>
Wed, 11 Dec 2019 18:02:28 GMT /slideshow/how-stlrda-does-data/204542786 AdamDoyle11@slideshare.net(AdamDoyle11) How stlrda does data AdamDoyle11 ºÝºÝߣs from the December 2019 St. Louis Big Data IDEA meetup group. Jon Leek discussed how the St. Louis Regional Data Alliance ingests, stores, and reports on their data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/howstlrdadoesdata-191211180228-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs from the December 2019 St. Louis Big Data IDEA meetup group. Jon Leek discussed how the St. Louis Regional Data Alliance ingests, stores, and reports on their data.
How stlrda does data from Adam Doyle
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Tailoring machine learning practices to support prescriptive analytics /slideshow/tailoring-machine-learning-practices-to-support-prescriptive-analytics/191393098 tailoringmachinelearningpracticestosupportprescriptiveanalytics-191107155210
ºÝºÝߣs from the November St. Louis Big Data IDEA. Anthony Melson talked about how to engineer machine learning practices to better support prescriptive analytics.]]>

ºÝºÝߣs from the November St. Louis Big Data IDEA. Anthony Melson talked about how to engineer machine learning practices to better support prescriptive analytics.]]>
Thu, 07 Nov 2019 15:52:10 GMT /slideshow/tailoring-machine-learning-practices-to-support-prescriptive-analytics/191393098 AdamDoyle11@slideshare.net(AdamDoyle11) Tailoring machine learning practices to support prescriptive analytics AdamDoyle11 ºÝºÝߣs from the November St. Louis Big Data IDEA. Anthony Melson talked about how to engineer machine learning practices to better support prescriptive analytics. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tailoringmachinelearningpracticestosupportprescriptiveanalytics-191107155210-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs from the November St. Louis Big Data IDEA. Anthony Melson talked about how to engineer machine learning practices to better support prescriptive analytics.
Tailoring machine learning practices to support prescriptive analytics from Adam Doyle
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Synthesis of analytical methods data driven decision-making /slideshow/synthesis-of-analytical-methods-data-driven-decisionmaking/191370656 synthesisofanalyticalmethodsdata-drivendecision-making-191107143127
ºÝºÝߣs from the November St. Louis Big Data IDEA meeting. Dr. Haitao Li presented on different paradigms for data-driven optimizations.]]>

ºÝºÝߣs from the November St. Louis Big Data IDEA meeting. Dr. Haitao Li presented on different paradigms for data-driven optimizations.]]>
Thu, 07 Nov 2019 14:31:27 GMT /slideshow/synthesis-of-analytical-methods-data-driven-decisionmaking/191370656 AdamDoyle11@slideshare.net(AdamDoyle11) Synthesis of analytical methods data driven decision-making AdamDoyle11 ºÝºÝߣs from the November St. Louis Big Data IDEA meeting. Dr. Haitao Li presented on different paradigms for data-driven optimizations. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/synthesisofanalyticalmethodsdata-drivendecision-making-191107143127-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs from the November St. Louis Big Data IDEA meeting. Dr. Haitao Li presented on different paradigms for data-driven optimizations.
Synthesis of analytical methods data driven decision-making from Adam Doyle
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Big Data IDEA 101 2019 /AdamDoyle11/big-data-idea-101-2019 bigdataidea101-2019-190906001521
What is Big Data in 2019? What is Data Engineering? What is Data Analytics? What are some technologies to keep your eye on?]]>

What is Big Data in 2019? What is Data Engineering? What is Data Analytics? What are some technologies to keep your eye on?]]>
Fri, 06 Sep 2019 00:15:21 GMT /AdamDoyle11/big-data-idea-101-2019 AdamDoyle11@slideshare.net(AdamDoyle11) Big Data IDEA 101 2019 AdamDoyle11 What is Big Data in 2019? What is Data Engineering? What is Data Analytics? What are some technologies to keep your eye on? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdataidea101-2019-190906001521-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> What is Big Data in 2019? What is Data Engineering? What is Data Analytics? What are some technologies to keep your eye on?
Big Data IDEA 101 2019 from Adam Doyle
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Data Engineering and the Data Science Lifecycle /slideshow/data-engineering-and-the-data-science-lifecycle/143262153 dataengineeringandthedatasciencelifecyclelnl-190502180741
Everyone wants to be a data scientist. Data modeling is the hottest thing since Tickle Me Elmo. But data scientists don’t work alone. They rely on data engineers to help with data acquisition and data shaping before their model can be developed. They rely on data engineers to deploy their model into production. Once the model is in production, the data engineer’s job isn’t done. The model must be monitored to make sure that it retains its predictive power. And when the model slips, the data engineer and the data scientist need to work together to correct it through retraining or remodeling.]]>

Everyone wants to be a data scientist. Data modeling is the hottest thing since Tickle Me Elmo. But data scientists don’t work alone. They rely on data engineers to help with data acquisition and data shaping before their model can be developed. They rely on data engineers to deploy their model into production. Once the model is in production, the data engineer’s job isn’t done. The model must be monitored to make sure that it retains its predictive power. And when the model slips, the data engineer and the data scientist need to work together to correct it through retraining or remodeling.]]>
Thu, 02 May 2019 18:07:41 GMT /slideshow/data-engineering-and-the-data-science-lifecycle/143262153 AdamDoyle11@slideshare.net(AdamDoyle11) Data Engineering and the Data Science Lifecycle AdamDoyle11 Everyone wants to be a data scientist. Data modeling is the hottest thing since Tickle Me Elmo. But data scientists don’t work alone. They rely on data engineers to help with data acquisition and data shaping before their model can be developed. They rely on data engineers to deploy their model into production. Once the model is in production, the data engineer’s job isn’t done. The model must be monitored to make sure that it retains its predictive power. And when the model slips, the data engineer and the data scientist need to work together to correct it through retraining or remodeling. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataengineeringandthedatasciencelifecyclelnl-190502180741-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Everyone wants to be a data scientist. Data modeling is the hottest thing since Tickle Me Elmo. But data scientists don’t work alone. They rely on data engineers to help with data acquisition and data shaping before their model can be developed. They rely on data engineers to deploy their model into production. Once the model is in production, the data engineer’s job isn’t done. The model must be monitored to make sure that it retains its predictive power. And when the model slips, the data engineer and the data scientist need to work together to correct it through retraining or remodeling.
Data Engineering and the Data Science Lifecycle from Adam Doyle
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