Drill to Detail

Drill to Detail

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Drill to Detail episodes

  • Drill to Detail Ep.62 'Enterprise analytics, DW Modernization and the rediscovery of Data Governance' With Special Guest Mike Ferguson
    Mark Rittman is joined in this episode by Mike Ferguson, long-term analyst, consultant and Managing Director of Intelligent Business Strategies to talk about data warehouse modernization,
    analytics and big data project success within enterprise customers and the re-emergence of interest in data governance and master data management within the industry.
    0 min
  • Drill to Detail Ep.61 'Kaggle, DataRobot and How to Be a ... Zillionaire!' With Special Guest Jordan Meyer

    Mark Rittman is joined by DataRobot’s Jordan Meyer to discuss Kaggle, machine learning, deep neural networks and his team’s strategy to win the $1m ZIllow Prize, beating over 1000 other teams to come up with the most accurate home value prediction.

    Zillow Prize: Zillow's Home Value Prediction (Zestimate) | Kaggle

    And the Zillow Prize Goes to…Team ChaNJestimate!

    Meet the ‘Zillow Prize’ winners who get $1M and bragging rights for beating the Zestimate

    https://github.com/jordanmeyer

    Data Scientist Spotlight: Jordan Meyer

    Deep Learning definition on Wikipedia

    ABC - How To Be A Zillionaire (Wall Street Mix)

    38 min
  • Drill to Detail Ep.60 'A Deeper Look Into Looker' With Special Guest Lloyd Tabb

    The Drill to Detail Podcast returns for a new series with our host, Mark Rittman, joined by Lloyd Tabb, Founder CTO and Chairman of Looker to talk about the foundational story of Looker and LookML, query latency and semantic models, analytic engines and code IDEs, analytics developer workflows and the rise of cloud elastically-scalable databases, packaged applications and embedded analytics and why learning (and loving) are the long-term keys to analytics and business success.

    Looker JOIN: The Tour 2019

    “7 Reasons Looker Built a New Language for Data”

    “How do you decide what to model in dbt vs LookML?” - Tristan Handy

    “Looker co-founder finds freedom and inspiration on his bike rides” - BizJournals.com

    Looker Packaged Applications

    “A simple explanation of Symmetric Aggregates or: Why On Earth Does My SQL Look Like That?” - Daniel Mintz

    Drill to Detail Ep.48 'Mondrian OLAP, Apache Calcite and Database Dis-Aggregation' With Special Guest Julian Hyde

    36 min
  • Drill to Detail Ep.59 'Looker, dbt and Digital Analytics Today' With Special Guests Tristan Handy and Stewart Bryson

    Mark Rittman is joined in this Looker JOIN 2018 Special by long-term friends of the show Tristan Handy from Fishtown Analytics, and Stewart Bryson from Red Pill Analytics to talk about dbt and enabling data engineering for data analysts; the state of modern data analytics consulting today, and what we’re looking forward to hearing about at next week’s Looker JOIN 2018 conference in San Francisco, CA.

    Looker JOIN 2018, San Francisco

    dbt (data build tool)

    “Future Proof your Analytics Stack”

    45 min
  • Drill to Detail Ep.58 'Candy Crush Saga, Analytics and Mobile Gaming' With Special Guest Jonathan Palmer

    Mark Rittman is joined in this episode by Jonathan Palmer from King Games to talk about the role of analytics in the development of Candy Crush Saga and other King games, their use of Looker along with Google BigQuery and Exasol to provide analytics capabilities to their game designers and product owners and his approach to doing all of this in a fast-moving, technology-driven internet business.

    - Candy Crush Saga article on Wikipedia
    - King Games company website
    - “How King Games is Crushing Games Data” DataIQ article
    - Looker and King Games case study
    - Jonathan Palmer on LinkedIn

    46 min
  • Drill to Detail Ep.55 'Snowplow, Data Pipelines and Event-Level Digital Analytics' with Special Guest Yali Sassoon

    Mark Rittman is joined by Yali Sassoon from Snowplow to talk about data pipelines and Hadoop in the cloud; how web analytics evolved from counting pageviews to today's event-level analysis of consumer behavoir across all digital channels; why digital analytics is hard but interesting; and Snowplow's approach to building a successful hybrid open-source/commercial software business that competes successfully with megavendors such as Google and Adobe.

    Snowplow website

    Snowplow Insights commercial hosted service details

    Snowplow Open-Source

    Evolving Your Pipeline - Yali Sassoon - Snowplow Berlin Meetup #3

    Snowplow on Looker

    49 min
  • Drill to Detail Ep.54 'DataRobot & Machine Learning Automation' with Special Guest Greg Michaelson

    Mark Rittman is joined in this episode by Greg Michaelson from DataRobot, talking about the benefits of automating the discovery and automation of analytics and machine learning in financial services and other industries.

    DataRobot: Automated Machine Learning for Predictive Modeling

    DataRobot for Business Analysts

    Automated Machine Learning Drives Intelligent Business (Jen Underwood, Information Week article)

    Marketing Attribution, Artificial Intelligence, and Game Theory

    Greg Michaelson LinkedIn Profile

    51 min
  • Drill to Detail Ep.53 'ThoughtSpot, Search and AI-Powered BI' With Special Guest Doug Bordonaro

    Mark Rittman is joined by ThoughtSpot's Chief Data Evangelist Doug Bordonaro to talk about the value of data, issues around trust and consent raised by the EU's new GDPR regulations, and how ThoughtSpot are applying ideas from search engines combined with artificial intelligence smarts to surface insights and drive real value for business users from their analytics investment.

    Value Becomes the 5th “V” in Big Data Factors

    ThoughtSpot - Search and AI-Driven Analytics for Humans

    The ThoughtSpot Blog

    Doug Bordonaro on LinkedIn

    “Will GDPR Make Machine Learning Illegal?”

    40 min

About Drill to Detail

From the publisher's feed

Mark Rittman is joined each episode by a special guest from the world of business intelligence, analytics and big data.