Big Data Beard

In this special episode of the Big Data Beard Podcast, Cory (https://twitter.com/cory_minton?lang=en) and Brett (https://twitter.com/BigDataBrett) get to sit down with Josh Klahr (https://www.linkedin.com/in/jklahr), Splunk’s (http://www.splunk.com) VP of Product Management, Splunk Enterprise and Core Products to breakdown Splunk’s announcement today (https://www.splunk.com/blog/2019/05/01/splunk-enterprise-7-3-and-splunk-mltk-4-3-the-most-comprehensive-data-platform-to-date.html) regarding Splunk Enterprise 7.3 and Machine Learning Tool Kit (MLTK) 4.3. Josh provides new details and insight into the announcements surrounding Workload Management, Metrics, SmartStore and the new support for Splunk Enterprise Security (ES) and MLTK’s Smart Assist. Cory and Brett also dig into Splunk’s announcements from April around Splunk’s Connected Experiences and Business Flow.  Check out this special podcast to get the scoop on all the new features Splunk has added!

Splice Machine announced the company’s new data science workbench, ML Manager, at the Spark + AI Summit 2019 (https://databricks.com/sparkaisummit/north-america) being held April 23-25, in San Francisco, CA.  Cory caught up with Splice Machine's founder and CEO, Monte Zweben, about how Splice Machine bridges the gap between operational databases and the tools used by data scientists to power modern AI. Splice Machine’s new Data Science Workbench, called ML Manager, empowers data science teams to maximize the performance of their machine learning models by removing the latency associated with building complex data pipelines, performing cumbersome transformations and training models on updated data. At the Spark+AI Summit, Monte presented, “Without Operational AI, Your ML Model is Stale (https://databricks.com/sparkaisummit/north-america/sessions-single-2019?id=199)” which will discussed how companies can integrate OLTP, OLAP and ML capabilities in a unified platform to make intelligent decisions in real time using data at scale. The resulting SQL platform reduces data movement and therefore enables training on real-time data and testing on real-time data leading to better decision-making. This podcast was recorded at Spark+AI Summit in San Francisco (https://databricks.com/sparkaisummit/north-america), California in April 2019. Full show notes and links are available here - https://bit.ly/BDB_EP73 Conference discount opportunity for our listeners…check out the ways our partnerships can save you money on the best big data and AI tech conferences around the world: * Domino Data Labs’ REV2 Conference (http://rev.dominodatalab.com/) in NYC May 23-24.   Use promo code BDB_REV100 to save $100 on your pass! * Data Science Salon (https://datascience.salon/newyork/) in NYC June 13.  Use promo code BDBEARD19 for 15% off your pass! http://bit.ly/BDB_YTC (http://bit.ly/BDB_YTC) Did you know we are on Spotify?  Tune in to The Big Data Beard! (https://open.spotify.com/show/62li7mm5ADkeXUS3tuOZ24) Music from this episode is by Andrew Belle (https://itunes.apple.com/us/artist/andrew-belle/37712246).  Please go check him out...you'll thank us!

Splice Machine announced the company’s new data science workbench, ML Manager, at the Spark + AI Summit 2019 (https://databricks.com/sparkaisummit/north-america) being held April 23-25, in San Francisco, CA.  Cory caught up with Splice Machine's founder and CEO, Monte Zweben, about how Splice Machine bridges the gap between operational databases and the tools used by data scientists to power modern AI. Splice Machine’s new Data Science Workbench, called ML Manager, empowers data science teams to maximize the performance of their machine learning models by removing the latency associated with building complex data pipelines, performing cumbersome transformations and training models on updated data. At the Spark+AI Summit, Monte presented, “Without Operational AI, Your ML Model is Stale (https://databricks.com/sparkaisummit/north-america/sessions-single-2019?id=199)” which will discussed how companies can integrate OLTP, OLAP and ML capabilities in a unified platform to make intelligent decisions in real time using data at scale. The resulting SQL platform reduces data movement and therefore enables training on real-time data and testing on real-time data leading to better decision-making. This podcast was recorded at Spark+AI Summit in San Francisco (https://databricks.com/sparkaisummit/north-america), California in April 2019. Full show notes and links are available here - https://bit.ly/BDB_EP73 Conference discount opportunity for our listeners…check out the ways our partnerships can save you money on the best big data and AI tech conferences around the world: * Domino Data Labs’ REV2 Conference (http://rev.dominodatalab.com/) in NYC May 23-24.   Use promo code BDB_REV100 to save $100 on your pass! * Data Science Salon (https://datascience.salon/newyork/) in NYC June 13.  Use promo code BDBEARD19 for 15% off your pass! http://bit.ly/BDB_YTC (http://bit.ly/BDB_YTC) Did you know we are on Spotify?  Tune in to The Big Data Beard! (https://open.spotify.com/show/62li7mm5ADkeXUS3tuOZ24) Music from this episode is by Andrew Belle (https://itunes.apple.com/us/artist/andrew-belle/37712246).  Please go check him out...you'll thank us!

Splice Machine announced the company’s new data science workbench, ML Manager, at the Spark + AI Summit 2019 (https://databricks.com/sparkaisummit/north-america) being held April 23-25, in San Francisco, CA.  Cory caught up with Splice Machine's founder and CEO, Monte Zweben, about how Splice Machine bridges the gap between operational databases and the tools used by data scientists to power modern AI. Splice Machine’s new Data Science Workbench, called ML Manager, empowers data science teams to maximize the performance of their machine learning models by removing the latency associated with building complex data pipelines, performing cumbersome transformations and training models on updated data. At the Spark+AI Summit, Monte presented, “Without Operational AI, Your ML Model is Stale (https://databricks.com/sparkaisummit/north-america/sessions-single-2019?id=199)” which will discussed how companies can integrate OLTP, OLAP and ML capabilities in a unified platform to make intelligent decisions in real time using data at scale. The resulting SQL platform reduces data movement and therefore enables training on real-time data and testing on real-time data leading to better decision-making. This podcast was recorded at Spark+AI Summit in San Francisco (https://databricks.com/sparkaisummit/north-america), California in April 2019. Full show notes and links are available here - https://bit.ly/BDB_EP73 Conference discount opportunity for our listeners…check out the ways our partnerships can save you money on the best big data and AI tech conferences around the world: * Domino Data Labs’ REV2 Conference (http://rev.dominodatalab.com/) in NYC May 23-24.   Use promo code BDB_REV100 to save $100 on your pass! * Data Science Salon (https://datascience.salon/newyork/) in NYC June 13.  Use promo code BDBEARD19 for 15% off your pass! http://bit.ly/BDB_YTC (http://bit.ly/BDB_YTC) Did you know we are on Spotify?  Tune in to The Big Data Beard! (https://open.spotify.com/show/62li7mm5ADkeXUS3tuOZ24) Music from this episode is by Andrew Belle (https://itunes.apple.com/us/artist/andrew-belle/37712246).  Please go check him out...you'll thank us!

Spark is one of the most popular platforms for Data Science and AI development today and the team at DataBricks is driving massive innovation in this community, both open-source and commercially. Cory (https://twitter.com/Cory_Minton?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) sat down with Reynold Xin, Co-Founder and Chief Architect, and Michael Armburst (https://www.linkedin.com/in/michaelarmbrust/), Principal Architect, at DataBricks to understand the history of Spark development and uncover the massive developments in the platform available now and in the near future making Spark more accessible and easier for Data Scientists and Engineers alike. This podcast was recorded at Spark+AI Summit in San Francisco (https://databricks.com/sparkaisummit/north-america), California in April 2019. Links DataBricks (https://databricks.com/) Reynold (https://databricks.com/speaker/reynold-xin) on LinkedIn (https://www.linkedin.com/in/reynoldxin/) & Twitter (https://twitter.com/rxin) Michael (https://databricks.com/speaker/michael-armbrust) on LinkedIn (https://www.linkedin.com/in/michaelarmbrust/) & Twitter (https://twitter.com/michaelarmbrust) DeltaLake (https://delta.io/) and Announcement (https://databricks.com/session/announcing-databricks-delta) Apple Presentation on DeltaLake (https://databricks.com/session/keynote-from-apple) MLFlow (https://mlflow.org/) Videos from Spark+AI Summit 2019 (https://databricks.com/sparkaisummit/north-america/sessions) Reynold Keynote Recording (https://databricks.com/session/official-announcement-of-koalas-open-source-project) on Koalas Michael Keynote Recording (https://databricks.com/session/announcing-databricks-delta) on Delta Did you know we are on Spotify?  Tune in to The Big Data Beard! (https://open.spotify.com/show/62li7mm5ADkeXUS3tuOZ24) Don’t forget that we are going to Domino Data Labs’ upcoming REV2 Conference in NYC May 23-24.  Visit the REV Conference Website (http://REV.dominodatalab.com) and use promo code BDB_REV100 to save $100 on your pass! Music from this episode is by Andrew Belle (https://itunes.apple.com/us/artist/andrew-belle/37712246).  Please go check him out...you'll thank us!

Spark is one of the most popular platforms for Data Science and AI development today and the team at DataBricks is driving massive innovation in this community, both open-source and commercially. Cory (https://twitter.com/Cory_Minton?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) sat down with Reynold Xin, Co-Founder and Chief Architect, and Michael Armburst (https://www.linkedin.com/in/michaelarmbrust/), Principal Architect, at DataBricks to understand the history of Spark development and uncover the massive developments in the platform available now and in the near future making Spark more accessible and easier for Data Scientists and Engineers alike. This podcast was recorded at Spark+AI Summit in San Francisco (https://databricks.com/sparkaisummit/north-america), California in April 2019. Links DataBricks (https://databricks.com/) Reynold (https://databricks.com/speaker/reynold-xin) on LinkedIn (https://www.linkedin.com/in/reynoldxin/) & Twitter (https://twitter.com/rxin) Michael (https://databricks.com/speaker/michael-armbrust) on LinkedIn (https://www.linkedin.com/in/michaelarmbrust/) & Twitter (https://twitter.com/michaelarmbrust) DeltaLake (https://delta.io/) and Announcement (https://databricks.com/session/announcing-databricks-delta) Apple Presentation on DeltaLake (https://databricks.com/session/keynote-from-apple) MLFlow (https://mlflow.org/) Videos from Spark+AI Summit 2019 (https://databricks.com/sparkaisummit/north-america/sessions) Reynold Keynote Recording (https://databricks.com/session/official-announcement-of-koalas-open-source-project) on Koalas Michael Keynote Recording (https://databricks.com/session/announcing-databricks-delta) on Delta Did you know we are on Spotify?  Tune in to The Big Data Beard! (https://open.spotify.com/show/62li7mm5ADkeXUS3tuOZ24) Don’t forget that we are going to Domino Data Labs’ upcoming REV2 Conference in NYC May 23-24.  Visit the REV Conference Website (http://REV.dominodatalab.com) and use promo code BDB_REV100 to save $100 on your pass! Music from this episode is by Andrew Belle (https://itunes.apple.com/us/artist/andrew-belle/37712246).  Please go check him out...you'll thank us!

Spark is one of the most popular platforms for Data Science and AI development today and the team at DataBricks is driving massive innovation in this community, both open-source and commercially. Cory (https://twitter.com/Cory_Minton?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) sat down with Reynold Xin, Co-Founder and Chief Architect, and Michael Armburst (https://www.linkedin.com/in/michaelarmbrust/), Principal Architect, at DataBricks to understand the history of Spark development and uncover the massive developments in the platform available now and in the near future making Spark more accessible and easier for Data Scientists and Engineers alike. This podcast was recorded at Spark+AI Summit in San Francisco (https://databricks.com/sparkaisummit/north-america), California in April 2019. Links DataBricks (https://databricks.com/) Reynold (https://databricks.com/speaker/reynold-xin) on LinkedIn (https://www.linkedin.com/in/reynoldxin/) & Twitter (https://twitter.com/rxin) Michael (https://databricks.com/speaker/michael-armbrust) on LinkedIn (https://www.linkedin.com/in/michaelarmbrust/) & Twitter (https://twitter.com/michaelarmbrust) DeltaLake (https://delta.io/) and Announcement (https://databricks.com/session/announcing-databricks-delta) Apple Presentation on DeltaLake (https://databricks.com/session/keynote-from-apple) MLFlow (https://mlflow.org/) Videos from Spark+AI Summit 2019 (https://databricks.com/sparkaisummit/north-america/sessions) Reynold Keynote Recording (https://databricks.com/session/official-announcement-of-koalas-open-source-project) on Koalas Michael Keynote Recording (https://databricks.com/session/announcing-databricks-delta) on Delta Did you know we are on Spotify?  Tune in to The Big Data Beard! (https://open.spotify.com/show/62li7mm5ADkeXUS3tuOZ24) Don’t forget that we are going to Domino Data Labs’ upcoming REV2 Conference in NYC May 23-24.  Visit the REV Conference Website (http://REV.dominodatalab.com) and use promo code BDB_REV100 to save $100 on your pass! Music from this episode is by Andrew Belle (https://itunes.apple.com/us/artist/andrew-belle/37712246).  Please go check him out...you'll thank us!

In the world of platforms for Big Data, there is a lot of confusion and conflict.  But one one of the early entrants to the market is still one of the most popular.  Brett (https://twitter.com/broberts2261) and Cory (https://twitter.com/Cory_Minton?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) sit down with Jack Norris of MapR Technologies (https://mapr.com/%20) to learn how they’ve evolved over the years to become a truly unique data platform delivering a first class layer of “DataWare” in the enterprise stack.  Learn from an industry veteran who understands the history of platforms and has an educated view on platforms of the future…and trust us, Jack is a super cool, interesting dude to hang out with for a chat! This podcast was recorded at the fantastic O’Reilly Media AI Conference (https://conferences.oreilly.com/artificial-intelligence) in NYC.  In addition to interviewing great leaders in the AI space like Jack, the Big Data Beard team got to attend a variety of sessions and get a sense of the bleeding edge of AI.  If you missed this conference, don’t worry there are three more left this year.  Click here (https://bigdatabeard.com/2019-data-analytics-ai-conferences-you-should-attend/) to get the schedule and promo codes to save you 15% off your conference pass. Links FREE Training from MapR (https://mapr.com/training/courses/#On-Demand) - this is huge that they offer this for free Machine Learning Logistics Book (https://mapr.com/ebook/machine-learning-logistics/?utm_source=google&utm_medium=cpc&utm_campaign=adwords_q4&utm_content=ml_logistics_book&utm_source=google&utm_medium=cpc&utm_campaign=adwords_q4&utm_content=ai_ml_ebook&gclid=Cj0KCQjw2IrmBRCJARIsAJZDdxCaSUVQ86TIHforA3M6VyvHAKj-_BVmwXxUfDR88rEOHdkpMb0PxZAaAqVkEALw_wcB) - authored by MapR folks MapR Disaggregated Storage Layer (https://mapr.com/products/mapr-xd/) MapR Platform (https://mapr.com/products/) KubeFlow (https://www.kubeflow.org/) Mapr Event (https://mapr.com/resources/events/) Insatek (https://www.incitecpivot.com.au/) - Australian Explosion as a Service The Couple Next Door (https://www.amazon.com/Couple-Next-Door-Shari-Lapena/dp/0735221081/ref=sr_1_2?crid=303JV4UIDECAN&keywords=the+couple+next+door&qid=1556298315&s=gateway&sprefix=the+couple+%2Caps%2C162&sr=8-2) - book recommendation from Jack Americans (https://www.netflix.com/title/70269397) - Jack’s binge-worthy show Martin Miller’s Gin (http://www.martinmillersgin.com/) Did you know we are on Spotify?  Tune in to The Big Data Beard! (https://open.spotify.com/show/62li7mm5ADkeXUS3tuOZ24) Music from this episode is by Andrew Belle (https://itunes.apple.com/us/artist/andrew-belle/37712246).  Please go check him out...you'll thank us!

In the world of platforms for Big Data, there is a lot of confusion and conflict.  But one one of the early entrants to the market is still one of the most popular.  Brett (https://twitter.com/broberts2261) and Cory (https://twitter.com/Cory_Minton?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) sit down with Jack Norris of MapR Technologies (https://mapr.com/%20) to learn how they’ve evolved over the years to become a truly unique data platform delivering a first class layer of “DataWare” in the enterprise stack.  Learn from an industry veteran who understands the history of platforms and has an educated view on platforms of the future…and trust us, Jack is a super cool, interesting dude to hang out with for a chat! This podcast was recorded at the fantastic O’Reilly Media AI Conference (https://conferences.oreilly.com/artificial-intelligence) in NYC.  In addition to interviewing great leaders in the AI space like Jack, the Big Data Beard team got to attend a variety of sessions and get a sense of the bleeding edge of AI.  If you missed this conference, don’t worry there are three more left this year.  Click here (https://bigdatabeard.com/2019-data-analytics-ai-conferences-you-should-attend/) to get the schedule and promo codes to save you 15% off your conference pass. Links FREE Training from MapR (https://mapr.com/training/courses/#On-Demand) - this is huge that they offer this for free Machine Learning Logistics Book (https://mapr.com/ebook/machine-learning-logistics/?utm_source=google&utm_medium=cpc&utm_campaign=adwords_q4&utm_content=ml_logistics_book&utm_source=google&utm_medium=cpc&utm_campaign=adwords_q4&utm_content=ai_ml_ebook&gclid=Cj0KCQjw2IrmBRCJARIsAJZDdxCaSUVQ86TIHforA3M6VyvHAKj-_BVmwXxUfDR88rEOHdkpMb0PxZAaAqVkEALw_wcB) - authored by MapR folks MapR Disaggregated Storage Layer (https://mapr.com/products/mapr-xd/) MapR Platform (https://mapr.com/products/) KubeFlow (https://www.kubeflow.org/) Mapr Event (https://mapr.com/resources/events/) Insatek (https://www.incitecpivot.com.au/) - Australian Explosion as a Service The Couple Next Door (https://www.amazon.com/Couple-Next-Door-Shari-Lapena/dp/0735221081/ref=sr_1_2?crid=303JV4UIDECAN&keywords=the+couple+next+door&qid=1556298315&s=gateway&sprefix=the+couple+%2Caps%2C162&sr=8-2) - book recommendation from Jack Americans (https://www.netflix.com/title/70269397) - Jack’s binge-worthy show Martin Miller’s Gin (http://www.martinmillersgin.com/) Did you know we are on Spotify?  Tune in to The Big Data Beard! (https://open.spotify.com/show/62li7mm5ADkeXUS3tuOZ24) Music from this episode is by Andrew Belle (https://itunes.apple.com/us/artist/andrew-belle/37712246).  Please go check him out...you'll thank us!

In the world of platforms for Big Data, there is a lot of confusion and conflict.  But one one of the early entrants to the market is still one of the most popular.  Brett (https://twitter.com/broberts2261) and Cory (https://twitter.com/Cory_Minton?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) sit down with Jack Norris of MapR Technologies (https://mapr.com/%20) to learn how they’ve evolved over the years to become a truly unique data platform delivering a first class layer of “DataWare” in the enterprise stack.  Learn from an industry veteran who understands the history of platforms and has an educated view on platforms of the future…and trust us, Jack is a super cool, interesting dude to hang out with for a chat! This podcast was recorded at the fantastic O’Reilly Media AI Conference (https://conferences.oreilly.com/artificial-intelligence) in NYC.  In addition to interviewing great leaders in the AI space like Jack, the Big Data Beard team got to attend a variety of sessions and get a sense of the bleeding edge of AI.  If you missed this conference, don’t worry there are three more left this year.  Click here (https://bigdatabeard.com/2019-data-analytics-ai-conferences-you-should-attend/) to get the schedule and promo codes to save you 15% off your conference pass. Links FREE Training from MapR (https://mapr.com/training/courses/#On-Demand) - this is huge that they offer this for free Machine Learning Logistics Book (https://mapr.com/ebook/machine-learning-logistics/?utm_source=google&utm_medium=cpc&utm_campaign=adwords_q4&utm_content=ml_logistics_book&utm_source=google&utm_medium=cpc&utm_campaign=adwords_q4&utm_content=ai_ml_ebook&gclid=Cj0KCQjw2IrmBRCJARIsAJZDdxCaSUVQ86TIHforA3M6VyvHAKj-_BVmwXxUfDR88rEOHdkpMb0PxZAaAqVkEALw_wcB) - authored by MapR folks MapR Disaggregated Storage Layer (https://mapr.com/products/mapr-xd/) MapR Platform (https://mapr.com/products/) KubeFlow (https://www.kubeflow.org/) Mapr Event (https://mapr.com/resources/events/) Insatek (https://www.incitecpivot.com.au/) - Australian Explosion as a Service The Couple Next Door (https://www.amazon.com/Couple-Next-Door-Shari-Lapena/dp/0735221081/ref=sr_1_2?crid=303JV4UIDECAN&keywords=the+couple+next+door&qid=1556298315&s=gateway&sprefix=the+couple+%2Caps%2C162&sr=8-2) - book recommendation from Jack Americans (https://www.netflix.com/title/70269397) - Jack’s binge-worthy show Martin Miller’s Gin (http://www.martinmillersgin.com/) Did you know we are on Spotify?  Tune in to The Big Data Beard! (https://open.spotify.com/show/62li7mm5ADkeXUS3tuOZ24) Music from this episode is by Andrew Belle (https://itunes.apple.com/us/artist/andrew-belle/37712246).  Please go check him out...you'll thank us!

A lot of the Artificial Intelligence conversations that are being had today revolve around how AI is influencing government and business but in this week’s episode, Brett (https://twitter.com/broberts2261) and Cory (https://twitter.com/Cory_Minton?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) sit down with Anna Bethke (https://twitter.com/data_beth)from Intel (http://intel.com/)to talk about how her team is driving AI for social good initiative around the globe.  From anti-poaching to counting whales, Anna, the Head of AI for social good within the Intel AI products group, outlines some of the really cool and impactful projects her team is driving to better society.  Brett and Cory also get Anna’s opinion on the ethics of AI, the state of AI bias and some of the top trends she is seeing. This podcast was recorded at the fantastic O’Reilly Media AI Conference (https://conferences.oreilly.com/artificial-intelligence)in NYC.  In addition to interviewing great leaders in the AI space link Anna, the Big Data Beard team got to attend a variety of sessions and get a sense of the bleeding edge of AI.  If you missed this conference, don’t worry there are three more left this year.  Click here (https://bigdatabeard.com/2019-data-analytics-ai-conferences-you-should-attend/) to get the schedule and promo codes to save you 15% off your conference pass.

A lot of the Artificial Intelligence conversations that are being had today revolve around how AI is influencing government and business but in this week’s episode, Brett (https://twitter.com/broberts2261) and Cory (https://twitter.com/Cory_Minton?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) sit down with Anna Bethke (https://twitter.com/data_beth)from Intel (http://intel.com/)to talk about how her team is driving AI for social good initiative around the globe.  From anti-poaching to counting whales, Anna, the Head of AI for social good within the Intel AI products group, outlines some of the really cool and impactful projects her team is driving to better society.  Brett and Cory also get Anna’s opinion on the ethics of AI, the state of AI bias and some of the top trends she is seeing. This podcast was recorded at the fantastic O’Reilly Media AI Conference (https://conferences.oreilly.com/artificial-intelligence)in NYC.  In addition to interviewing great leaders in the AI space link Anna, the Big Data Beard team got to attend a variety of sessions and get a sense of the bleeding edge of AI.  If you missed this conference, don’t worry there are three more left this year.  Click here (https://bigdatabeard.com/2019-data-analytics-ai-conferences-you-should-attend/) to get the schedule and promo codes to save you 15% off your conference pass.