For the Love of Data
By For the Love of Data
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For the Love of Data is a monthly podcast devoted to all things data from industry news, new products, and cool data visualizations. Host Robert Furr and others hold discussions, interviews, reviews, and arguements to determine where the information technology industry is heading, with an emphasis on Business Intelligence (BI), Information Management (IM), and data analytics. Topics like data science, analytics, strategy, and governance are just a few of the topics on the table. SQL, NoSQL, Tableau, R, Oracle, MySQL, SQL Server... these are just a few of many tools we will noodle on during each episode.
||CleanE028 – Bimodal BI and Data Virtualization||Today we’re back with another guest from the Netherlands. I’m not sure what it is about the Dutch, but they’ve been on a roll with some helpful thought leadership when it comes to data. My guest is Rick van der Lans, a highly-respected analyst,||5/26/2018||Free||View in iTunes|
||CleanE027 – The Data Quadrant||My guest in today’s episode is Ronald Damhof (@ronalddamhof), the creator of the Data Quadrant. This quadrant is a sense-making framework in the complex word of data that enables a common frame of reference between managers,||4/28/2018||Free||View in iTunes|
||CleanE026 – The Four Types of Automation||Introductory Product Models: Only partner implementations (BluePrism) Limited Features (WorkFusion) Customer Revenue Limited (UI Path) Single License (Softomotive) Music Deep Sky Blue by Graphiqs Groove via FreeMusicArchive.||3/29/2018||Free||View in iTunes|
||CleanE025 – The Hype of AI||Thank you my friend and fellow Capco cohort, Daragh Fitzpatrick, for joining me on this episode of FTLOD where we cut through the Hype of AI to understand some of the key challenges and opportunities facing consumers and businesses alike when working w.||2/27/2018||Free||View in iTunes|
||CleanE024 – Will machine learning kill traditional database indexes?||In this episode my friend Vikas Popuri and I chat about Google’s paper comparing ML models to traditional DB indexes. Background: Google used learned indexes , machine learning models, to access data and compared these to B-Tree, Hash,||1/30/2018||Free||View in iTunes|
||CleanE023 – 2017 Data Digest||This episode reflects on some of the hottest topics from 2017 and their impact their data has on our lives this year and into 2018. Cryptocurrency Many of these data points come from here. Since the year began,||12/29/2017||Free||View in iTunes|
||CleanE022 – Tech Spec – Tableau Project Maestro Data Prep||Zip file of all the sample data, Maestro flows, and Tableau workbook I used to get a first impression: E022_maestro_demo_files. Screenshots Sample Flow from Tableau Field Selection Data Profiling Filters Join Clause Refresh / Run Flow File Output Optio||11/30/2017||Free||View in iTunes|
||CleanE021 – Data Deep Dive – Halloween Spending and Candy||Just in time for Halloween this year, we take a look at the way people will spend their money on Candy and other goods during this spooky time. Spending People in the US are expected to spend $9.1 billion on Halloween this year,||10/30/2017||Free||View in iTunes|
||CleanE020 – How Crisis Text Line uses data to save lives||If you’re in crisis, text 741741 if you’re in the US to talk with a counselor now. In this episode we speak with the people behind Crisis Text Line and Crisis Trends, two services that use data to make a difference for those going through a crisis o||9/26/2017||Free||View in iTunes|
||CleanE019 – Tech Spec – Cognos Analytics (11.0.6)||Join me as I chat with my colleague and Cognos guru John Frazier about the latest release of Cognos, leading up to the anticipated release of the next version, 11.0.7, near the end of Q3. The latest version of Cognos (11.0.6) debuted on March 21,||8/20/2017||Free||View in iTunes|
Like the detail and variety
Like the different topics
Data for anyone
Cool guy who loves data as much as I do. I like how Rob covers a wide range of topics that anyone can enjoy from candy and grills to detailed software. Can't wait for the next episode.
I like listening to this podcast because the topics covered a very relevant and the questions asked prompter insightful answers
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