Catalog & Cocktails: The Honest, No-BS Data Podcast

Takeaways with Patrick Bangert, VP of AI at Samsung

Struggles of Setting up a Data Governance Program w/ Rupal Sumaria

You have been asked to start the Data Governance program in your organization. Sounds easy, right? How do you start? How do you define success? Who needs to be part of the team?Join Tim, Juan and Rupal Sumaria, Head of Governance of Penguin Random House UK to discuss the steps for a successful data governance program and what to avoid.Key Takeaways[00:06 - 03:16] Introduction and Toasts[03:17 - 04:51] If you could only keep three apps on your phone, what would they be?[04:52 - 07:33] Struggles in setting up a data governance program[07:40 - 09:42] Rupal's presentation at the data.world summit[09:46 - 13:03] Networking and communicating early while creating the data governance program[13:07 - 15:06] Who Rupal was collaborating with while setting up the data governance program[15:06 - 17:34] When was the last time you spoke to sales and marketing?[17:34 - 19:32] A tailored approach to reaching other departments[19:32 - 22:56] Tips for when you're struggling with engagement[22:56 - 26:42] Change the game, don't make it boring[26:48 - 32:14] Companies have to measure ROI[34:14 - 36:54] A four step process to data governance[36:54 - 39:10] Where to start, departmentally[39:13 - 40:28] Advice for those "stuck" in data governance roles[40:28 - 41:34] Is there anything Rupal would have done differently, two years down the line?[41:51 - 42:58] Data governance technology[43:24 - 45:41] Rupals tip's for navigating processing technology tools[45:43 - 48:59] Lightning round[49:02 - 56:51] Takeaways[57:03 - 59:25] Three questions

Takeaways with Rupal Sumaria

BONUS EPISODE: Live from Big Data London

Keeping it 100 about metadata; the data stack glue w/ Fraser Harris, VP of Product, Fivetran

Answering critical business questions relies on integrating data from a variety of systems. But it takes a lot of work to understand what the disparate data means and how it all fits together. How do we make data as reliable as an electricity?Join Tim Gasper, Juan Sequeda and Fraser Harris, VP of Product at Fivetran, as they celebrate the 100th live episode of Catalog & Cocktails and discuss how #metadata, #datacatalogs, and #dataintegration act as the power source for your connected enterpriseKey Takeaways: [02:02 - 03:49] Cheers to 100th episode, good health, children, and sky miles[04:10 - 05:11] Keeping it 100, Millennial and Gen Z slang[05:12 - 07:05] What metadata means to Fraser, the data about the data[07:07 - 10:00] Fivetran's new metadata API[11:32 - 13:33] Action, enforcement, and results in understanding data management[13:52 - 17:51] Data contracts and the interface[17:53 - 20:07] Upstream notifications and transforming data[20:55 - 24:01] Perspectives on having a system and record owner for data contracts[24:31 - 30:38] Representing business process change in contract evolutions[30:40 - 31:58] Cultures around data at newer companies[32:15 - 34:34] The two main use cases of Fivetran's data and the impact analysis[34:34 - 36:25] Two dimensions to data proactivity, data maturity and company size[36:26 - 41:26] Steering data complexity to simplicity, business value behavior and technology costs[41:28 - 43:47] Reliability and data pipeline[43:52 - 45:10] What Fraser wants to see happen around metadata[45:10 - 47:15] The process of migrating to the cloud and adopting new data policies[48:47 - 55:25] Lightning round[55:28 - 01:00:43] Tim & Juan's takeaways[01:00:57 - 01:02:49] Three questions for Fraser[01:04:43 - 01:05:14] Next week's guest, Rupal Sumaria from Penguin Random House

Takeaways of EPISODE 100 w/ Fraser Harris

The Future of Data Catalogs w/ Ole Olesen-Bagneux

Data Catalogs are at the center of every enterprise’s data strategy. It’s important to explore the current state and how data catalogs are evolving. Who better to talk about Data Catalog than the author of the upcoming O’Reilly book “The Enterprise Data Catalog”, Ole Olesen-Bagneux from GN. Join Tim, Juan, Ole to discuss the future of data catalogs and why knowledge is at the center. Conversation highlights: [00:07 - 03:06] Intro & Drinks[03:10 - 05:11] Warm up, if data catalog were a cocktail what would it be[05:19 - 07:06] Where the hell are data catalogs going[07:07 - 09:01] What the library and information sciences world is bringing to data catalogs[09:03 - 10:43] Don't think that catalogs should move away from a Google Paradigm[10:43 - 12:14] Finding more valuable data sets, and Boolean queries[12:16 - 16:23] Accessing what is inside a catalog and thinking about metadata[16:27 - 23:36] The "shopping experience" and expressive ways of searching[23:44 - 26:55] How cataloging intersects and impacts search and metadata[26:55 - 29:00] Catalogs will evolve into repositories and a thesaurus[29:01 - 32:05] The lifecycles of data and system life cycles[32:24 - 35:19] The POSMAD Framework[35:26 - 38:56] Data monetization and modern data architecture[38:57 - 42:11] The potential for POSMAD and practical relation to data catalogs[42:16 - 43:15] Here's the data, what are you going to do with it?[43:19 - 44:30] Data to Information to knowledge to wisdom[44:40 - 47:06] Cataloging ontologies and knowledge layers[47:07 - 50:00] Knowledge graphs and combining with simple search and browse features[50:18 - 56:34] Lightning round[56:35 - 01:02:12] Tim and Juan talk takeaways[01:02:17 - 01:05:55] Three questions about data, life, and the show's next guest

Takeaways with Ole Olesen-Bagneux

In this episode, Tim, Juan, and Ole Olesen-Bagneux, author of O’Reilly “The Enterprise Data Catalog, discuss the future of data catalogs.This Takeaway episode will feature the summary of the upcoming show.

Data Engineering: where are we and where are we going? w/ Joe Reis and Matt Housley of Ternary Data

What is the state of Data engineering today and where is it going (or should it be going)? Who better to talk about Data Engineering than the authors of the recent O’Reilly book “Fundamentals of Data Engineering”, Joe Reis and Matt Housley from Ternary Data. Join Tim, Juan, Joe and Matt to discuss the state of data engineering. Conversation highlights: [00:44] Introduction to Joe Reis and Matt Housley[03:24] Warm up: what have you engineered or built that has gone terribly wrong?[08:28] Data engineering tools and magpie syndrome[13:15] How often and where do you see data teams stumbling to get the value out of the technology they have?[17:08] Thoughts on diving deep into technologies where there is a skills gap[19:39] The curse of familiarity in the context of tools[23:55] Learning outside the context of an enterprise, and continously educating yourself on data[27:23] Data modeling and where to start learning[30:48] Data modeling = business concepts and definitions to relations among data[32:05] The human aspect and technical side of data modeling[36:19] Business literacy for data engineers[38:39] The lifecycle of data[43:02] Analytics engineering, the knowledge scientists[46:09] Roles within data engineering and bifurcation[48:26 The future of data engineering and tabular data[52:12] Auto Machine Learning and Tabular Data[55:00] Lightning round[01:01:01] Tim and Juan's takeaways[01:06:18] Three questions about data, life, resources and the show's next guest

Takeaways with Joe Reis and Matt Housley of Ternary Data