In this episode, Conor and Bryce continue part 2 of their chat about AI, how it's changing the way they work and more. Link to Episode 245 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Socials ADSP: The Podcast: TwitterConor Hoekstra: Twitter | BlueSky | MastodonBryce Adelstein Lelbach: TwitterShow Notes Date Recorded: 2025-07-01 Date Released: 2025-08-01 AI Poll ResultsAll of Conor's Vibe Coded ProjectsCursorClaude 4C++Now 2019: Hana Dusíková “Compile Time Regular Expressions with A Deterministic Finite Automaton”GPU ModeIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

The relationship between humans and AI in the workplace is rapidly evolving beyond simple automation. As companies deploy thousands of AI agents to handle everything from expense approvals to customer success management, a new paradigm is emerging—one where humans become orchestrators rather than operators. But how do you determine which processes should be handled by AI and which require human judgment? What governance structures need to be in place before deploying AI at scale? With the potential to automate up to 80% of business processes, organizations must carefully consider not just the technology, but the human element of AI-driven transformation. Steve Lucas is the Chairman and CEO of Boomi, marking his third tenure as CEO. With nearly 30 years of enterprise software leadership, he has held senior roles at leading cloud organizations including Marketo, iCIMS, Adobe, SAP, Salesforce, and BusinessObjects. He led Marketo through its multi-billion-dollar acquisition by Adobe and drove strategic growth at iCIMS, delivering significant investments and transformation. A proven leader in scaling software companies, Steve is also the author of the national bestseller Digital Impact and holds a business degree from the University of Colorado. In the episode, Richie and Steve explore the importance of choosing the right tech stack for your business, the challenges of managing complex systems, the role of AI in transforming business processes, and the need for effective AI governance. They also discuss the future of AI-driven enterprises and much more. Links Mentioned in the Show: BoomiSteve’s Book - Digital Impact: The Human Element of AI-Driven TransformationWhat is the OSI Model?Connect with SteveSkill Track: AI Business FundamentalsRelated Episode: New Models for Digital Transformation with Alison McCauley Chief Advocacy Officer at Think with AI & Founder of Unblocked FutureRewatch RADAR AI  New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Over the past 1000 days, I've interviewed some of the brightest minds in the data world. And in today’s episode, you’ll hear genius career advice from 6 of my favorite female data analysts. They’ll teach you what it’s like working in data, and help you learn what it takes to actually land a data job. 💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator ⌚ TIMESTAMPS 00:00 - Introduction 00:45 - Sundas Khalid: Keep going, no matter what. 05:26 - Cole Knaflic: It's less about analysis and more about presentation. 11:38 - Rachael Finch: Always be networking. 23:22 - Jess Ramos: Be proactive in your job search and networking. 28:44 - Hana M.K.: Avoid Shiny Object Syndrome! 32:41 - Erin Shina: The importance of having projects. Check out the full episodes from this compilation! 1. How This High School Drop Out Became a $500k Data Analyst (Sundas Khalid) - https://datacareerpodcast.com/episode/148-how-this-high-school-drop-out-became-a-500k-data-analyst-sundas-khalid 2. Meet The Woman Who Changed Data Storytelling Forever (Cole Knaflic) - https://datacareerpodcast.com/episode/142-meet-the-woman-who-changed-data-storytelling-forever-cole-knafflic 3. How She Landed a Business Intelligence Analyst Job in Less than 100 Days (w/ Rachael Finch) - https://datacareerpodcast.com/episode/125-how-she-landed-a-business-intelligence-analyst-job-in-less-than-100-days-w-rachael-finch 4. Navigating Your Data Career Journey w/ Jess Ramos - https://datacareerpodcast.com/episode/49-navigating-your-data-career-journey-w-jess-ramos 5. Presenting for Data Analysts w/ Hana M.K. - https://datacareerpodcast.com/episode/84-presenting-for-data-analysts-w-hana-mk 6. From Music to Spreadsheets: Erin Shina’s 90-Day Transformation from Music to Financial Data Analyst - https://datacareerpodcast.com/episode/65-from-music-sheet-to-spreadsheets-erin-shinas-90-day-transformation-from-music-to-financial-data-analyst 🔗 CONNECT WITH AVERY 🎥 YouTube Channel: https://www.youtube.com/@averysmith 🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/ 📸 Instagram: https://instagram.com/datacareerjumpstart 🎵 TikTok: https://www.tiktok.com/@verydata 💻 Website: https://www.datacareerjumpstart.com/ Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

This blog covers integrating SAP and third-party systems to build a unified data foundation for analytics and AI in conversational use cases. Published at: https://www.eckerson.com/articles/analytics-and-ai-for-sap-environments-build-a-unified-data-foundation-to-drive-advanced-use-cases

We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Integrating generative AI with robust databases is becoming essential. As organizations face a plethora of database options and AI tools, making informed decisions is crucial for enhancing customer experiences and operational efficiency. How do you ensure your AI systems are powered by high-quality data? And how can these choices impact your organization's success? Gerrit Kazmaier is the VP and GM of Data Analytics at Google Cloud. Gerrit leads the development and design of Google Cloud’s data technology, which includes data warehousing and analytics. Gerrit’s mission is to build a unified data platform for all types of data processing as the foundation for the digital enterprise. Before joining Google, Gerrit served as President of the HANA & Analytics team at SAP in Germany and led the global Product, Solution & Engineering teams for Databases, Data Warehousing and Analytics. In 2015, Gerrit served as the Vice President of SAP Analytics Cloud in Vancouver, Canada. In this episode, Richie and Gerrit explore the transformative role of AI in data tools, the evolution of dashboards, the integration of AI with existing workflows, the challenges and opportunities in SQL code generation, the importance of a unified data platform, leveraging unstructured data, and much more. Links Mentioned in the Show: Google CloudConnect with GerritThinking Fast and Slow by Daniel KahnemanCourse: Introduction to GCPRelated Episode: Not Only Vector Databases: Putting Databases at the Heart of AI, with Andi Gutmans, VP and GM of Databases at GoogleRewatch sessions from RADAR: Forward Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

In this episode, I dive into the world of AI leadership with Andreas Welsh, a renowned AI expert and author of 'The AI Leadership Handbook'. We explore Andreas's impressive career at SAP, his new venture as an AI advisor and expert, his impactful journey on LinkedIn, and his insights into successful AI implementation. Topics we cover: Discover Andreas’s background and his remarkable 23-year career at SAP. He shares pivotal moments and lessons learned from working at one of the world’s largest tech companies.Learn what motivated Andreas to start sharing his expertise on LinkedIn in 2021, and the significant impact it has had on his professional life.Uncover the inspiration behind Andreas's book, The AI Leadership Handbook, and his mission to guide organisations in harnessing AI effectively.Andreas discusses the critical elements that must be in place for AI projects to thrive and avoid the common pitfalls that lead to failure.Understand the need for the emerging Chief AI Officer role, how it differs from a Chief Data & Analytics Officer, and the importance of giving it a strong mandate within organisations.Explore the concept of multiplier communities and their role in amplifying AI capabilities across organisations.Andreas shares his vision for AI over the next 5-10 years, including opportunities, potential risks, and disruptions.Andreas leaves listeners with a powerful lesson from 'The AI Leadership Handbook' that every leader should consider when integrating AI into their strategy.This episode is packed with valuable insights for anyone interested in AI leadership and innovation. Whether you're an executive, a tech enthusiast, or someone curious about the future of AI, Andreas Welsh offers guidance and inspiration to navigate this transformative field. Connect with Andreas Welsh on LinkedIn: https://www.linkedin.com/in/andreasmwelsch/ Leaders of Analytics Newsletter: https://www.leadersofanalytics.com/newsletter Subscribe to Leaders of Analytics via your favourite podcast app: Apple Podcasts Google Podcasts  Spotify

This special episode of DataFramed was made in collaboration with Analytics on Fire! Nowadays, the hype around generative AI is only the tip of the iceberg. There are so many ideas being touted as the next big thing that it’s difficult to keep up. More importantly, it’s challenging to discern which ideas will become the next ChatGPT and which will end up like the next NFT. How do we cut through the noise? Mico Yuk is the Community Manager at Acryl Data and Co-Founder at Data Storytelling Academy. Mico is also an SAP Mentor Alumni, and the Founder of the popular weblog, Everything Xcelsius and the 'Xcelsius Gurus’ Network. She was named one of the Top 50 Analytics Bloggers to follow, as-well-as a high-regarded BI influencer and sought after global keynote speaker in the Analytics ecosystem.  In the episode, Richie and Mico explore AI and productivity at work, the future of work and AI, GenAI and data roles, AI for training and learning, training at scale, decision intelligence, soft skills for data professionals, genAI hype and much more.  Links Mentioned in the Show: Analytics on Fire PodcastData Visualization for Dummies by Mico Yuk and Stephanie DiamondConnect with Miko[Skill Track] AI FundamentalsRelated Episode: What to Expect from AI in 2024 with Craig S. Smith, Host of the Eye on A.I PodcastRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

With seemingly every organization wanting to enhance their AI capabilities, questions arise about who should be in charge of these initiatives. At the moment, it’s likely a CTO, CIO, or CDO, or a mixture of the three. The gold standard is to have someone in the C-suite whose sole focus is their AI projects: the Chief AI Officer. This role is so new that it's not yet widely understood. In this episode, we explore what the CAIO job entails. Philipp Herzig is the Chief AI Officer at SAP. He’s held a variety of roles within SAP, most recently SVP Head of Cross Product Engineering & Experience, however his experience covers intelligent enterprise & cross-architecture, head of engineering for cloud-native apps, a software development manager, and product owner.  In the full episode, Richie and Philipp explore what his day-to-day responsibilities are as a CAIO, the holistic approach to cross-team collaboration, non-technical interdepartmental work, AI strategy and implementation, challenges and success metrics, how to approach high-value AI use cases, insights into current AI developments and the importance of continuous learning, the exciting future of AI and much more. 

Links Mentioned in the Show: SAP’s AI CoPilot JouleSAP[Course] Implementing AI Solutions in BusinessRelated Episode: How Walmart Leverages Data & AI with Swati Kirti, Sr Director of Data Science at WalmartRewatch sessions from RADAR: The Analytics Edition

New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Join Avery Smith as he chats with data visualization expert Hana M.K. about the importance of presentation skills for data professionals in this engaging episode of the Data Career Podcast.

Discover how Hana helps data professionals improve their presentation abilities and land their dream jobs as she shares valuable insights and resources.

Don't miss out on this episode filled with tips, advice, and inspiration to become a skilled data presenter – tune in now to the Data Career Podcast with Avery Smith and special guest Hana M.K.!

Connect with Hana M.K.:

🤝 Connect on Linkedin ⁠🛣️ Download Data Presentation Roadmap

🎧 The Art of Communicating Data Podcast

🎒 Learn About the Trending Analytics

🤝 Ace your data analyst interview with the interview simulator

📩 Get my weekly email with helpful data career tips

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(09:33) - Start practicing your presentation NOW

(19:46) - The SECRET of presenting data effectively

(29:05) - No one WANTS to see your code. Show this instead.

Connect with Avery:

📺 Subscribe on YouTube

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Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

In this episode, Conor and Bryce chat about CityStrides.com, graph algorithms and more! Link to Episode 149 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachShow Notes Date Recorded: 2023-09-25 Date Released: 2023-09-29 Hana Dusíková on TwitterHana’s co_curlNDC TechtownPeter principleADSP Episode 137: Sean Parent on Val (vs Rust)!CityStrides.comOpen Street MapsOverPasscity-strides-hacking GitHub RepoThrust Parallel Algorithm LibraryElon Musk by Ashlee VanceElon Musk by Walter IsaacsonEpisode 143 Comment About R |>Episode 142 Comment About Rust charsIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

Send us a text This week on Making Data Simple, we have Dima Syrotkin, founder of Pandatron.  Dima Syrotkin is the CEO of Pandatron and a PhD researcher at Aalto University in Helsinki. With clients like SAP, Universal Pictures & Skanska, Pandatron is a startup that supports change management. They do it by scaling AI-driven coaching 1-on-1s to every manager, which also allows them to measure change.

Show Notes 1:49 – Dima’s history5:35 – Where does the coaching come in?16:39 – Have you ever had a case where there is no model or exercise?19:28 – Is there any follow up?20:58 – What’s your most profound use case?25:49 – Empathy 33:35 – What models are used?36:25 – How does bias work?37:29 – How do you measure progress?39:07 – Describe your business modelPandatron Dima on Medium Connect with the Team Producer Kate Brown - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

In this episode, Conor and Bryce talk to Zach Laine about safety in C++, tuples, variants, reductions and more. Link to Episode 120 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the Guest Zach Laine has been using C++ in industry for 15 years, focusing on data visualization, numeric computing, games, generic programming, and good library design. He finds the process of writing bio blurbs to be a little uncomfortable. Show Notes Date Recorded: 2023-02-16 Date Released: 2023-03-10 Oxide & Friends PodcastYael Grauer on TwitterYael WritesConsumer Reports: Report: Future of Memory SafetyUnsafe RustC++98 std::unordered_mapC++98 std::vectorC++20 ConceptsC++20 CoroutinesC++20 RangesC++17 std::variantP0095 C++ Language Variant ProposalC++17 std::holds_alternativeC++ boost::hana::tupleC++23 std::views::enumeratePython enumerateADSP Episode 25: The Lost ReductionC++23 std::views::adjacent_transformFutharkArrayCast Episode 37: Troels Henriksen and FutharkFuthark reduceFuthark reduce_commNVIDIA thrust::reduceNVIDIA associative-only reduce ProposalIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Bryce and Conor talk about the new programming language Carbon. Link to Episode 88 on Website Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachShow Notes Date Recorded: 2022-07-25 Date Released: 2022-07-29 Carbon Language: An experimental successor to C++ - Chandler Carruth - CppNorth 2022Carbon GithubD Programming LanguageCarbon on Hacker NewsCarbon Reddit ThreadThe Day The Standard Library Died by cor3ntinC++17 [[nosidcard]]C++11 constexprC++11 noexceptC++ const2022 Keynote - Sean Parent - CppNorth 22Sean Parent: “Now What? A vignette in three parts” - C++Now 2012CppCon 2018: Hana Dusíková “Compile Time Regular Expressions”STL and Its Design PrinciplesC++23 std::mdspanCppNorth Conference

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Dima Syrotkin, founder of Pandatron.  Dima Syrotkin is the CEO of Pandatron and a PhD researcher at Aalto University in Helsinki. With clients like SAP, Universal Pictures & Skanska, Pandatron is a startup that supports change management. They do it by scaling AI-driven coaching 1-on-1s to every manager, which also allows them to measure change.

Show Notes 1:49 – Dima’s history 5:35 – Where does the coaching come in? 16:39 – Have you ever had a case where there is no model or exercise? 19:28 – Is there any follow up? 20:58 – What’s your most profound use case? 25:49 – Empathy  33:35 – What models are used? 36:25 – How does bias work? 37:29 – How do you measure progress? 39:07 – Describe your business model Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

In this episode, Bryce and Conor have a fun chat about Bryce’s recent triumphant victory over JF Bastien on Twitter. Date Recorded: 2021-11-05 Date Released: 2021-11-05 ADSP Episode 49: Special Guest Dave Abrahams! (Part 2)ADSP on TwitterBryce Lelbach on TwitterConor Hoekstra on TwitterJF Bastien on TwitterHana Dusíková on TwitterOlivier Giroux on TwitterISO C++ CommitteeCppCon 2017: Hana Dusikova “Regular Expressions Redefined in C++”CppCon 2018: Hana Dusíková “Compile Time Regular Expressions”C++Now 2019: Hana Dusíková “Compile Time Regular Expressions with A Deterministic Finite Automaton”CppNorth SurveyIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Bryce and Conor talk about inverse scan and inverse iota, working remotely, respond to some tweets and more! Date Recorded: 2021-09-01 Date Released: 2021-09-10 Tweet about I for INTELBloombergXKCD CompilingADSP Episode 39: How Steve Jobs Saved Sean ParentTweet about car crash is “a rotate”Tweet about “A Discussion with Sean ParentTwo’s Complement PodcastArrayCast PodcastInverse Scan ExampleC++ std::partial_sumC++ std::adjacent_differenceInverse Iota ExampleC++ boost::hana::flipJ :. (obverse)Intro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Bryce and Conor talk about how many programming languages you should learn, why Haskell and APL are worth learning, and how to get your "scan eyes". Date Recorded: 2020-12-13 Date Released: 2020-12-18 Ben Deane's tweetBen Deane's blog post "Six languages worth knowing"Michael Park's Advent of Code 10A in AWKConor's Advent of Code 10A in SmalltalkConors' Advent of Code 11A in APLHaskell SectionsBoost hana::flipC++ P1371 Patten Matching ProposalConway's Game of Life in APL YouTube VideoHaskell's mapAdjacentpandas Series.ffillthrust::inclusive_scanBryce's CppCon 2019 - The C++20 Synchronization LibraryIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

Summary

The information about how data is acquired and processed is often as important as the data itself. For this reason metadata management systems are built to track the journey of your business data to aid in analysis, presentation, and compliance. These systems are frequently cumbersome and difficult to maintain, so Octopai was founded to alleviate that burden. In this episode Amnon Drori, CEO and co-founder of Octopai, discusses the business problems he witnessed that led him to starting the company, how their systems are able to provide valuable tools and insights, and the direction that their product will be taking in the future.

Preamble

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. With private networking, shared block storage, node balancers, and a 200Gbit network, all controlled by a brand new API you’ve got everything you need to run a bullet-proof data platform. Go to dataengineeringpodcast.com/linode to get a $20 credit and launch a new server in under a minute. For complete visibility into the health of your pipeline, including deployment tracking, and powerful alerting driven by machine-learning, DataDog has got you covered. With their monitoring, metrics, and log collection agent, including extensive integrations and distributed tracing, you’ll have everything you need to find and fix performance bottlenecks in no time. Go to dataengineeringpodcast.com/datadog today to start your free 14 day trial and get a sweet new T-Shirt. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the newsletter, read the show notes, and get in touch. Your host is Tobias Macey and today I’m interviewing Amnon Drori about OctopAI and the benefits of metadata management

Interview

Introduction How did you get involved in the area of data management? What is OctopAI and what was your motivation for founding it? What are some of the types of information that you classify and collect as metadata? Can you talk through the architecture of your platform? What are some of the challenges that are typically faced by metadata management systems? What is involved in deploying your metadata collection agents? Once the metadata has been collected what are some of the ways in which it can be used? What mechanisms do you use to ensure that customer data is segregated?

How do you identify and handle sensitive information during the collection step?

What are some of the most challenging aspects of your technical and business platforms that you have faced? What are some of the plans that you have for OctopAI going forward?

Contact Info

Amnon

LinkedIn @octopai_amnon on Twitter

OctopAI

@OctopaiBI on Twitter Website

Parting Question

From your perspective, what is the biggest gap in the tooling or technology for data management today?

Links

OctopAI Metadata Metadata Management Data Integrity CRM (Customer Relationship Management) ERP (Enterprise Resource Planning) Business Intelligence ETL (Extract, Transform, Load) Informatica SAP Data Governance SSIS (SQL Server Integration Services) Vertica Airflow Luigi Oozie GDPR (General Data Privacy Regulation) Root Cause Analysis

The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast