Episodes

  • E035 – Your Data and an Announcement

    E035 – Your Data and an Announcement
    Dec 3 2018
    Announcement:
    • Celebrating FTLOD’s 3 year anniversary this month
    • Covered a diverse range of topics from BBQ and chocolate to alogorithms and graph databases
    • Future episodes will be much more ad-hoc and when I come across a topic that is interesting
    • Please stay subscribed
    • Please reach out on Twitter or LinkedIn to let me know what your favorite episode has been

    The Importance of Your Data
    • Quotes:
      • With great power comes great responsibility -Amazing Spider Man #15
    • Data Commercialization
      • Ford’s CEO recently suggested that the data collected by the company’s financial services arm also represents a valuable, low-overhead asset.1
      • Not just driving data, but also using data from purchase process such as marital status, income, etc.
      • However, in desperation to maintain profits, what would some companies do?
      • Know how your data is being used.
      • Tim Cook recently criticized Google, FB, and others (not by name) of creating a “‘data industrial complex’ in which our personal information ‘is being weaponized against us with military efficiency.’”2.
      • Talked about the echo chamber that social networks and algorithms can create
      • However, this is not all data doomsday
        • Data is helping us achieve better, deeper, faster insights than ever before
        • We are bettering our health, optimizing economies, and identifying connections that we never could have before
        • All this reward comes with some risks that we need to manage and be aware of
    • Data Breaches
      • Marriott disclosed a 500MM record breach. Not the biggest, but it hackers had access since 2014.
      • Names, phone numbers, email addresses, passport numbers, date of birth and arrival and departure information. For millions others, their credit card numbers and card expiration dates were potentially compromised.3
    • What to do to protect yourself if your data is part of a breach:4
      • Sign up for services like SpyCloud (it is free)
      • Change your password – and ideally switch to unique passphrases
      • Monitor your accounts for suspicious activity
      • Open a separate credit card for online transactions
      • Limit the information you share
      • Avoid saving credit card information on websites
      • Be vigilant
    Music:

    Deep Sky Blue by Graphiqs Groove via FreeMusicArchive.org

    Sources:
    1. https://threatpost.com/ford-eyes-use-of-customers-personal-data-to-boost-profits/139209/
    2. https://www.nytimes.com/2018/10/26/technology/apple-time-cook-europe.html
    3. https://www.cnn.com/2018/11/30/tech/marriott-hotels-hacked/index.html
    4. https://www.cnn.com/2018/11/30/tech/marriott-breach-what-to-do/index.html
    5. https://answers.kroll.com/
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    19 mins
  • E034 – Using Data to Make Perfect Chocolate – Part 2

    E034 – Using Data to Make Perfect Chocolate – Part 2
    Oct 31 2018
    In the second part of this two-part episode, we do a data deep dive into a decadent vat of chocolate. We talk about various stats and data with Brian Mikiten, former process engineer and founder of Casa Chocolates in San Antonio, TX. We also cover the types of chocolate and how much of chocolate making is an art vs. a science. See part one for the history of chocolate and an overview of how to make it. Types WhiteDarkMilkRuby – created in 2017 from Ruby cocoa beans by Barry Callebaut in Switzerland Photo via bakemag.com Chocolate data World Chocolate Day is July 7th. US National Chocolate Day is October 28. The United States accounts for 20% of the world’s chocolate consumption.On the average Valentine’s Day, nearly $400 million of chocolate is purchased around the world, accounting for 5% of the industry’s total sales.22% of all chocolate consumed between 8pm and midnight.Chocolate significantly reduces theta activity in the brain, which is associated with relaxation, which is why we want to eat chocolate when we’re feeling stressed out.Myth: Chocolate is high in caffeine (contains ~6mg/bar, same as decaf coffee)More than 70% of Americans prefer milk chocolateIn 2011, Thorntons created the world’s largest chocolate bar, which weighed in at 12,770 lbs. It measured 13 ft. by 13 ft. by 1 ft.Top companies by sales (via https://www.icco.org) $ / ton by date Top 10 World Cocoa Producers Science / data driven production of chocolate Equipment usedVariables evaluated / controlledWhat is your test process? Science vs. Art of chocolate makingBean profilesBrian’s background and history of Casa ChocolateWhat Casa Chocolate’s approach is to making chocolateTips for getting started at homeWhere people can find out more about Brian and Casa Chocolate Music: Deep Sky Blue by Graphiqs Groove via FreeMusicArchive.org Sources https://www.casachocolates.comhttps://en.wikipedia.org/wiki/History_of_chocolatehttps://media-cdn.tripadvisor.com/media/photo-s/05/c1/5e/bf/green-acres-chocolate.jpghttps://www.history.com/topics/ancient-americas/history-of-chocolatehttp://www.bean-to-bar.co.uk/Category/HowtoMakeyourOwnChocolate/3823 – How to make chocolatehttp://dallaschocolate.org/ – Dallas Chocolate Festivalhttp://chocolatealchemy.com/ – overviews, tips, recipes, equipment infohttp://www.chocolatenoise.com/chocolate-today/2017/9/19/my-top-50-bean-to-bar-chocolate-makers-in-the-united-states – List of many bean-to-bar chocolate makershttps://www.amazon.com/SS-Premier-PG-506-Chocolate/dp/B016E1NUZA – Premier Choclate Refiner (Melanger)https://www.americastestkitchen.com/articles/1000-bean-to-bar-chocolate-trivia-everyone-with-a-sweet-tooth-should-know – Bean-to-Bar overviewhttps://www.statista.com/chart/3668/the-worlds-biggest-chocolate-consumers/https://brandongaille.com/26-incredible-chocolate-consumption-statistics/https://www.icco.org/about-cocoa/chocolate-industry.htmlhttps://www.icco.org/statistics/cocoa-prices/monthly-averages.html?currency=usd&startmonth=01&startyear=2012&endmonth=12&endyear=2018&show=graph&option=com_statistics&view=statistics&Itemid=114&mode=custom&type=1https://www.candyindustry.com/blogs/14-candy-industry-blog/post/88254-celebrating-country-and-chocolatehttps://blog.euromonitor.com/2018/07/global-chocolate-industry.htmlhttps://en.wikipedia.org/wiki/Ruby_chocolatehttp://www.sccij.jp/news/overview/detail/article/2018/01/19/nestle-japan-launches-first-ruby-chocolate-product/https://www.bakemag.com/articles/8656-ruby-chocolate-honored-with-innovation-award-at-sweets-snacks-expo
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    31 mins
  • E033 – Using Data to Make Perfect Chocolate – Part 1

    E033 – Using Data to Make Perfect Chocolate – Part 1
    Oct 24 2018
    In the first part of this two-part episode, we do a data deep dive into a decadent vat of chocolate. We talk about history and how to make chocolate. In part two, we will talk about various stats and data with Brian Mikiten, former process engineer and founder of Casa Chocolates in San Antonio, TX. History of chocolate Evidence dates back as early as 1500 BCFermented beverages date back to 350BCBelieved to have originated with MesoamericansMade its way to Europe where sugar was added in 16th centuryIn 1828, Dutch chemist Coenraad Johannes van Houten used alkaline salts to process into “Dutch cocoa”1847 – J.S. Fry and Sons created the first chocolate bar1876 – Swiss chocolatier Daniel Peter added milk powder to create milk chocolate2/3 of cocoa today is produced in Western AfricaFair trade chocolate certifies that chocolate is not gathered with child or slave labor Overview of chocolate making Harvesting – pods contain ~40 cacao beans Photo via TripAdvisor.com Roasting CrackingWinnowingGrindingConchingTemperingMolding Music: Deep Sky Blue by Graphiqs Groove via FreeMusicArchive.org Sources https://www.casachocolates.comhttps://en.wikipedia.org/wiki/History_of_chocolatehttps://media-cdn.tripadvisor.com/media/photo-s/05/c1/5e/bf/green-acres-chocolate.jpghttps://www.history.com/topics/ancient-americas/history-of-chocolatehttp://www.bean-to-bar.co.uk/Category/HowtoMakeyourOwnChocolate/3823 – How to make chocolatehttp://dallaschocolate.org/ – Dallas Chocolate Festivalhttp://chocolatealchemy.com/ – overviews, tips, recipes, equipment infohttp://www.chocolatenoise.com/chocolate-today/2017/9/19/my-top-50-bean-to-bar-chocolate-makers-in-the-united-states – List of many bean-to-bar chocolate makershttps://www.amazon.com/SS-Premier-PG-506-Chocolate/dp/B016E1NUZA – Premier Choclate Refiner (Melanger)https://www.americastestkitchen.com/articles/1000-bean-to-bar-chocolate-trivia-everyone-with-a-sweet-tooth-should-know – Bean-to-Bar overviewhttps://www.statista.com/chart/3668/the-worlds-biggest-chocolate-consumers/https://brandongaille.com/26-incredible-chocolate-consumption-statistics/https://www.icco.org/about-cocoa/chocolate-industry.htmlhttps://www.icco.org/statistics/cocoa-prices/monthly-averages.html?currency=usd&startmonth=01&startyear=2012&endmonth=12&endyear=2018&show=graph&option=com_statistics&view=statistics&Itemid=114&mode=custom&type=1https://www.candyindustry.com/blogs/14-candy-industry-blog/post/88254-celebrating-country-and-chocolatehttps://blog.euromonitor.com/2018/07/global-chocolate-industry.htmlhttps://en.wikipedia.org/wiki/Ruby_chocolatehttp://www.sccij.jp/news/overview/detail/article/2018/01/19/nestle-japan-launches-first-ruby-chocolate-product/https://www.bakemag.com/articles/8656-ruby-chocolate-honored-with-innovation-award-at-sweets-snacks-expo
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    1 hr and 3 mins
  • E032 – 2018 State of DevOps Report

    E032 – 2018 State of DevOps Report
    Sep 30 2018
    • Intro
    • Greg’s Background
    • Intro to DevOps
    • Tools you’ve used
    • Intro to the report & this year vs. previous years
      • Feels more general and high-level than some of the previous reports (no MTTR mentioned for instance)
    • Who took the survey?
      • Surveyed over 30,000 people in 7 years (~4,300 / yr)
      • Technology is overrepresented – 38% of total respondents
      • Energy & Resources was only 2%
      • Tech + FS = 50%
      • Infosec = only 3% of people
      • 29% were dedicated DevOps (14% IT, 15% Dev/Eng)
    • Keywords
      • Data is mentioned 43 times in the report
      • Security = 65x
      • Agile = 7
      • DevOps = 328
      • Top 10 words in Word Cloud: (removed Puppet | State of DevOps footer on each page)
        • 245DevOps
        • 210teams
        • 149Stage
        • 123practices
        • 111can
        • 99team
        • 79organizations
        • 75services
        • 73business
        • 69success
      • No DataOps, no SecOps or DevSecOps
    • C-suite seems out of touch with conditions on the ground
      • Differences in perception – p. 30
      • Sometimes overstate team’s opinion by a factor of 2x
    • Stages in the report:
      • First
        • Stage 0: Build the foundation
      • Second
        • Stage 1: Normalize the technology stack
        • Stage 2: Standardize and reduce variability
        • Stage 3: Expand DevOps practices
      • Third
        • Stage 4: Automate infrastructure delivery
        • Stage 5: Provide self-service capabilities
    • CAMS = Culture, Automation, Measurability, Sharing
    • Principal Industries:
      • Top: Tech, Financial Services, Manufacturing/Industry
      • Bottom: Non-Profit, Energy/Resources, Media
      • Trend: Most to least competition?
    Music:

    Deep Sky Blue by Graphiqs Groove via FreeMusicArchive.org

    Sources:
    • https://puppet.com/resources/whitepaper/state-of-devops-report
    • https://devops-research.com/ – DORA – DevOps Research & Assessment, authors of the report
    • https://www.wordclouds.com/
    • https://www.linkedin.com/in/gregwwalters/
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    46 mins
  • E031 – Data Collaboration with Cursor

    E031 – Data Collaboration with Cursor
    Aug 30 2018

    Learn about Cursor, a new platform for collaboration around data, hosted platforms and BI artifacts. I sat down with Adam Weinstein, CEO and Co-Founder of Cursor, to learn about the platform.

    About Cursor

    Cursor offers a data search and analytics hub that makes disparate data accessible and actionable, enabling technical and business users alike to effortlessly get answers, collaborate and gain insights. Founded by a trio of data leaders from Salesforce, LinkedIn, and Pandora, Cursor’s easy-to-deploy software has been adopted by teams at Apple, Atlassian, Deloitte, Incedo, LinkedIn, NovumRx, and Slack. Cursor is based in San Francisco, CA.

    Cursor Press
    • https://techcrunch.com/2018/05/30/cursor-looks-to-build-a-search-tool-for-any-internal-database-with-2m-in-new-funding/
    • https://www.businessinsider.com/adam-weinstein-linkedin-cursor-2018-7
    Topics:
    1. What is Adam’s background?
    2. How BI has evolved over the past 10-20 years.
    3. What some of the most pressing challenges are for organizations today?
    4. What should people being doing today, outside of a specific tool, to get better at collaborating?
    5. How can Cursor help with those challenges?
    6. How is content secured on the platform? (separating data from metadata)
    7. Where can people find out more about Cursor?
    8. What’s next for Cursor as far as features or a roadmap?
    9. What are some tools that Adam can’t live without in your daily work?
    Music:

    Deep Sky Blue by Graphiqs Groove via FreeMusicArchive.org
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    40 mins
  • E030 – July 2018 News Roundup

    E030 – July 2018 News Roundup
    Jul 31 2018
    July 2018 News Roundup This month’s episode is a roundup of news from a variety of sources covering three main topics: BI / Dataviz ToolsDatabases and PlatformsTools and Frameworks Note: Most of the text extracts below are direct quotations from new sources cited in the source list at the bottom of these show notes. This episode is a compilation from those sources. BI / Dataviz Tools PowerBI enhancements (7/12/18) Microsoft has updated its Power BI analytics service in an effort to expand data prep capabilities and unify data analytics across platforms.“Using the Power Query experience familiar to millions of Power BI Desktop and Excel users, business analysts can ingest, transform, integrate and enrich big data directly in the Power BI web service – including data from a large and growing set of supported on-premises and cloud-based data sources, such as Dynamics 365, Salesforce, Azure SQL Data Warehouse, Excel and SharePoint,” the post reads.Power BI now supports data in Azure Data Lake Storage, and integrates with SQL Server Analysis Services and SQL Server Reporting Services.Microsoft today announced the general availability of Visio Visual for Power BI. Based on the feedback collected from the customers during the preview period, Microsoft has made the following changes to the Visio Visual: Support for Power BI Mobile appThe ability to change the diagram link embedded earlier and to copy an embedded link to the clipboardConfigurable auto-zoom settings that can be turned on and offSupport for complex diagrams using layersOverall performance improvements Tableau acquires Empirical Systems Tableau last month announced the acquisition of Empirical Systems, an artificial intelligence (AI) startup with an automated discovery and analysis engine designed to spot influencers, key drivers, and exceptions in data. Looker Enhances Data Science Capability with Integration for Google Cloud BigQuery ML With Looker and BQML, data teams can now save time and eliminate unnecessary processes by creating machine learning (ML) models directly in Google BigQuery via Looker – without the need to transfer data into additional ML tools. BQML predictive functionality will also be integrated into new or existing Looker Blocks allowing users to surface predictive measures in dashboards and applications. DBs and Platforms MemSQL Unveil Significant Update to Database for Real-time Modern Applications and Analytical Systems (Version 6.5 released) Queries are now up to four times faster than the previous MemSQL version (which was already 10x faster than legacy database providers), enabling insights in milliseconds across billions of rows.New automated workload optimization capabilities provide a consistent database response under ultra-high concurrency without the need for manual tuning or specialized DBA resources.Additions to the MemSQL industry-leading “transform-as-you-ingest” capabilities allow customers to use stored procedures for in-database transformations to easily build real-time data pipelines.Resource optimization improvements for multi-tenant deployments deliver greater control and scalability for varied database sizes whether on-premises or in the cloud. Hortonworks Data Platform 3.0 Even a Hadoop stalwart such as Hortonworks Inc. sees the writing on the wall, which is why, in its recent 3.0 release, it emphasized heterogeneous object storage. The new Hortonworks Data Platform 3.0 supports data storage in all of the major public-cloud object stores, including Amazon S3, Azure Storage Blob, Azure Data Lake, Google Cloud Storage and AWS Elastic MapReduce File System.HDP’s latest storage enhancements include a consistency layer, NameNode enhancements to support scale-out persistence of billions of files with lower storage overhead, and storage-efficiency enhancements such as support for erasure coding across heterogeneous volumes. HDP workloads access non-HDFS cloud storage environments via the Hadoop Compatible File System API.My thoughts: Are Hadoop and HDFS Dying???As we are heading into the fourth industrial revolution, HDP 3.0 is a giant leap for the Big Data ecosystem, with major changes across the stack and expanded eco-system (Deep Learning and 3rd Party Dockerized Apps). HDP 3.0 can be deployed both on-premise and in the major cloud platforms – AWS, Microsoft Azure, and Google Cloud. Many of the HDP 3.0 new features are based on Apache Hadoop 3.1 and include containerization, GPU support, Erasure Coding and Namenode Federation. In order to provide a Trusted Data Lake, we are installing Apache Ranger and Apache Atlas by default with HDP 3.0. In order to streamline the stack, we have removed components such as Apache Falcon, Apache Mahout, Apache Flume, and Apache Hue, and absorbed Apache Slider functionalities into Apache YARN. Tools and Frameworks Python 3.7.0 is now available Data classes that reduce boilerplate when working with data in classes.A potentially backward-incompatible change...
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    16 mins
  • E29 – Is Data The New Oil?

    E29 – Is Data The New Oil?
    Jun 29 2018
    Is Data the New Oil? Concept originated by Clive Humby, the British mathematician who established Tesco’s Clubcard loyalty program. Humby highlighted the fact that, although inherently valuable, data needs processing, just as oil needs refining before its true value can be unlocked.Why it is the new oil Valuable commodityDifferent uses among many applicationsCurrently the big buzz of most large companies (Google, Facebook, Apple, etc.)Quantity is generally better in bothAI is the darling of so many industries right now, and it is entirely dependent on dataThere are ethical concerns with how we source and use this, just like there were and are geopolitical and ethical concerns with how we source and use OilCertain things cannot function (currently) without oil (passenger airplanes, boats) Same with data: Oil & Gas, Netflix, Agriculture, Manufacturing, Healthcare, a general enabler Why it isn’t the new oil Oil is finite, but data is not Rob’s Counterpoint: There is a shelf life on data that makes it less usable over time Data does not have a standard price benchmark like oilNot a physical asset; can be duplicated or shared relatively easilyOil requires huge amounts of resources to recover and transport Rob’s Counterpoint: building a successful “app” with the scale to generate meaningful data does have some costs, albeit not the scale of oil Data is more useful the more that it is used, whereas oil loses energy the more it is used/processed Rob’s Counterpoint: Oil is not useful by itself to most people; it’s really the product oil becomes or enables that is useful The Data of Oil Difference between operating on surface vs. subsea: small tubing error occurs… Surface: 2-3 hours downtime; a few thousand $$ to fixSubsea: 3 months downtime, $40-50mm to fix, not including lost revenue due to deferred production (ex. 15,000 bpd well * $67/barrel * 90 days = $90.45mm) A good sized offshore platform generates revenue greater than the entire country of Belize ($2.3bn vs. $1.8bn)Of all the oil we can find, we generally only recover 10-20% in a field with current technology45-50% of oil generated in the US is used for transportationUS consumption per day is about 2 ½ gallons of crude oil / day / personThe U.S. has 4% of the world’s population but uses 25% of the world’s oilTotal daily oil consumption around the world is 84,249,000 barrels/dayTop 3 countries by proven oil reserves are: Venezuela, Saudi Arabia, Canada; US is #10Gas is 12,200 Wh/kg vs. Li-Ion at 265 Wh/kg (~46x more energy dense)MTTF (Mean time to failure) – 500 years on some parts – needed to operate in subsea environments for 30 yearsArea of dinner plate = 10.5” Area = Pi * R^2 * 20,000 PSIArea = ¼ * Pi * D^2 * 20,000 PSI0.25 * pi * 10.5 * 10.5 * 20,000 = 1.73180295029137E6= 1,731,802 pounds on a single dinner plate (equivalent to ~9 737 Jets) Length Records Analogy: Standing on top of the Empire State Building in NYC and trying to put a straw in a coke can sitting on the sidewalk belowDeepest Well (scientific study) = Kola Superdeep Borehole= 40,230 ft.CHAYVO WELL – SAKHALIN-I PROJECT-The current world record holder for longest well; depth of 44,291 feet with a horizontal reach of 39,478 feetDEEPWATER HORIZON – drilled the deepest oil well in history. The well was drilled to 35,050 vertical depth Well depth by year Music: Deep Sky Blue by Graphiqs Groove via FreeMusicArchive.org Sources: Is Data the New Oil? https://www.economist.com/news/leaders/21721656-data-economy-demands-new-approach-antitrust-rules-worlds-most-valuable-resourcehttps://www.forbes.com/sites/bernardmarr/2018/03/05/heres-why-data-is-not-the-new-oil/#326090363aa9https://www.forbes.com/sites/howardbaldwin/2014/03/28/big-datas-big-impact-across-industries/#3ebd563856b9https://hbr.org/2018/01/is-your-companys-data-actually-valuable-in-the-ai-erahttps://ischool.syr.edu/infospace/2018/02/26/why-data-is-the-new-oil/ The Data of Oil Sources: https://www.bp.com/content/dam/bp/en/corporate/pdf/energy-economics/energy-outlook/bp-energy-outlook-2018.pdfhttps://oges.info/library/152237/World_s-Deepest-Drilled-Wellshttp://www.investinganswers.com/investment-ideas/commodities-precious-metals/50-surprising-facts-you-never-knew-about-oil-2692https://www.dosomething.org/facts/11-facts-about-oilhttps://oilprice.com/Energy/Crude-Oil/How-Much-Crude-Oil-Do-You-Consume-On-A-Daily-Basis.htmlhttps://en.wikipedia.org/wiki/List_of_countries_by_proven_oil_reserveshttps://xtronics.com/wiki/Energy_density.htmlhttps://en.wikipedia.org/wiki/List_of_countries_by_GDP_(nominal) Other Data is the New Oil Sources: https://techcrunch.com/2018/03/27/data-is-not-the-new-oil/amp/http://ana.blogs.com/maestros/2006/11/data_is_the_new.htmlhttps://www.weforum.org/agenda/2018/01/data-is-not-the-new-oil/https://www.wired.com/insights/2014/07/data-new-oil-digital-economy/https://www.domo.com/learn/data-never-sleeps-5?aid=DPR072517https://mobile.cioinsight.com/it-strategy/big-data/...
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    1 hr
  • E028 – Bimodal BI and Data Virtualization

    E028 – Bimodal BI and Data Virtualization
    May 27 2018
    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, consultant, author, and international lecturer specializing in data warehousing, business intelligence, big data, and database technology. I came across one of Rick’s whitepapers a few months ago on data virtualization. We got in touch and sat down to talk more in depth about the topic. Rick has a lot of data street cred. For many years, he has served as the chairman of the annual European Enterprise Data and Business Intelligence Conference in London and the annual Data Warehousing and Business Intelligence Summit in The Netherlands. He has written tons of articles, blogs, and several books, including the first book on SQL. There will be links to some of the places and things Rick has written and other info in the show notes below. Topics: Rick’s background: author, blogger, consultant – worked on data virtualization (DV) for last 6-7 yearsHow did Rick get interested in DV?Classical data warehouses vs. logical data warehousesWhat is bi-modal BI? (term introduced by Gartner in 2014) Agile/Self-Service vs. longer, more cautious approach Bi-modal BI vs. the Data QuadrantComparison of major Data Virtualization Vendors DenodoTibco DV Manager (bought from Cisco recently)Red HatData Virtuality UltrarepOthers (AtScale, Cero, StoneBond, IBM – new entry acquired from Rocket Software)Some are more mature, some are newer (Denodo vs. Tibco = green apples vs. red apples) Companies rolling their own DV (in-memory / views vs. a dedicated tool)DV products are not DB views on steroidsLineage / impact analysis and other featuresCaching vs. materialization – can store cached data in a virtual table in an intermediary data store. Can be help performance or prevent interference from a transactional source (keeping results consistent for an entire week).How DV can help organizations that are strugglingHow DV may not be a silver bulletHow are different industries embracing these principles?What patterns do you see in companies embracing these principles?What companies should not use this? DV not great at this time on unstructured audio / video, auto-tagging of imagesWhy a classical DWH experienced person may fail at DVWhat are the warning signs that a DV is going off the rails? Fuzzy logic needed to combine disparate sourcesNot an integration cureallHow you deploy these with projects How to get started? (pick a single, sexy report as a starting point)Where do you go next? (how to unify other data delivery systems, data marketplaces, API gateways)How to avoid misconceptions about DV (it is slow, only about integration, etc.)How to contact RickThe first book on SQL Places to find Rick’s work: He has published blogs for the following websites: TechTarget.comB-eye-NetworkBusiness-analytics.biz He has written the following books: Data Virtualization for Business Intelligence SystemsIntroduction to SQL (has sold over 100,000 copies and has been translated in many languages)SQL for MySQL DevelopersThe SQL Guide to SQLiteThe SQL Guide to IngresThe SQL Guide to Pervasive PSQL Music: Deep Sky Blue by Graphiqs Groove via FreeMusicArchive.org Sources: https://www.denodo.com/en/system/files/document-attachments/rick_van_der_lans_bimodal_ldw.pdfhttps://solutionsreview.com/data-integration/4-data-virtualization-vendors-to-watch-in-2017/https://reprints.forrester.com/#/assets/2/545/’RES133042’/reports (Forrester Wave for Data Virtualization)http://www.datavirtualizationblog.com/achieving-lightning-fast-performance-logical-data-warehouse/http://www.r20.nl/rick_f__van_der_lans1.htm
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    48 mins