Upcoming Digital Event
Whether you lift and shift, lift and improve, or opt to deploy new workloads to the cloud, maintaining consistent data access, policies, and metadata enables self service to accelerate cloud adoption.
February 9th - How to accelerate your cloud data adoption journey
Listed in the TOP 3 Knowledge Management Podcasts You Must Follow in 2021, Catalog and Cocktails is an honest, no-bs, non-salesy conversation about enterprise data management and analytics. This is your 30-minute elixir containing everything interesting about data and metadata management, DataOps, architecture, and more. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from visionary leaders.
Join Tim, Juan, and special guest Anna Abramova from SqlDBM to answer these burning questions on this weeks episode of Catalog & Cocktails.
Join Tim, Juan and Bill Inmon, the father of the data warehouse and Founder of Forest Rim Technology, to learn about the past and present of data, and where things might be heading in the future.
Join Catalog & Cocktails hosts Juan and Tim, with special guest Allison Sagraves as they discuss how you get in the water by yourself without drowning.
This week on Catalog & Cocktails, join hosts Tim Gasper and Juan Sequeda as they chat with special guest, Theresa Kushner, Head of North America Innovation Center at NTT Data Services to discuss how the AI train is leaving the station and data teams can only run so fast.
Join this weeks episode of Catalog & Cocktails as hosts, Juan Sequeda and Tim Gasper with special guest, Dan Bennett, tackle semantics and how to get everyone -- machines and people -- on the same page.
Co-founders of Preql, Gabi Steele and Leah Weiss, join hosts Tim and Juan to discuss how to put the business in charge of their own data and how this leads to the answers AND massive alignment between data and biz teams.
Join Tim Gasper, Juan Sequeda, and Andrew Eye, CEO at ClosedLoop.ai, to discuss the challenges of AI deployment, AIOps, and maintaining models as data changes
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.
Join Tim, Juan, and Loris Marini, CEO of Discovering Data, as they zoom in to find that balance and the humility it may take.
Join Tim, Juan and special guest Laura Ellis from Rapid7 as they discuss supporting all the cooks in the kitchen when it comes to data projects, why that’s a hill to die on and HOW to actually get that done.
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 enterprise.
Join Tim, Juan, Ole to discuss the future of data catalogs and why knowledge is at the center.
Join Tim, Juan and Vip Parmar, Global Head of Data Management at WPP where they discuss approaches to bridge the gap between business and IT.
Join Tim, Juan and Roel Pot, Global Data Manager at Vopak where they discuss how to go from thought leadership to practice.
Join Juan and Tim for the Season Three Finale of Catalog & Cocktails. The hosts discuss the takeaways of the takeaways, best guest moments and valuable advice from some of the guests from the last 20 episodes!
In this episode, Tim, Juan, and Ergest Xheblati, will live discuss why data modeling should be at the core of an enterprise.
LIVE from the Snowflake Summit in Vegas. The hosts of Catalog & Cocktails sit down with Peter Kapur from WM to explore how we should be getting true value from metadata, data and analytics.
In this episode, Tim, Juan, and Sanjeev Mohan, former Gartner analyst and principal at SanjMo, explore how metadata acts as a proverbial travel guide for your data and analytics journey.
Is it possible to take the bias out of data work? That’s the question Juan and Tim ponder in this episode featuring Ciaran Dynes, chief product officer at Matillion.
We are live from the data.world All Hands and joined by Brett Hurt, CEO and co-founder of data.world, author, and serial entrepreneur. Brett will share what it’s like to fundraise and scale a data company in this challenging economic climate, who inspires him and why, and how he sees the data and analytics landscape evolving.
In this episode, Tim, Juan, and Omar Khawaja, Global Head of BI at Roche, break down the good, the bad, and the ugly of the company's data mesh journey.
In this episode, Tim, Juan, and Sarah Krasnik get back to first principles and remind us why everyone was excited about the modern data stack to begin with.
What better place to talk nodes and edges than the Knowledge Graph Conference in New York City? In this episode, Tim and Juan are joined by conference chair, Francois Scharffe, to discuss how knowledge graphs are driving the automated enterprise.
In this episode, Tim and Juan are joined by Steve Perry, Director of Data and Analytics at Genius Sports, to talk about the challenges that rising data leaders face, and how to block out the noise, and chart your path to success.
In this special episode, Tim and Juan are joined by Chad Sanderson, Head of Product, Data Platform at Convoy, to discuss whether we’re incorrectly architecting our modern data stack.
What does the word, “privacy” mean to you? Is it about being left alone? Being forgotten? In today’s world of ubiquitous digital apps, we think about privacy and utility as a give and get.
Join Tim, Juan and special guest Arjun Narayan, CEO of Materialize to discuss all things data streams and how these pipelines fuel the modern data stack.
Hosts Juan Sequeda and Tim Gasper broadcast live from the 2021 dbt Coalesce conference and were joined by special guests, Meetesh Karia and Claire Look from The Zebra to take a glimpse into the future of analytics engineering.
Join Tim, Juan and Karen Lopez, aka @datachick on Twitter, from InfoAdvisors, to discuss what assumptions people and applications make about the simplest data. We’ll also try and answer the question, “why are phone numbers, and addresses so damn hard to model?!?”
Join Tim, Juan and special guest Luke Slotwinski, VP of Data & Analytics at Prologis, to discuss how data leaders can empower their teams by asking for more from their data.
If data governance had a help line, it would likely be staffed by this week’s guest. Join Tim, Juan and Laura Madsen, author of “Disrupting Data Governance,” for a discussion on how we can all be better ambassadors for data.
Join Tim, Juan and special guest Dora Boussias, Director of Enterprise Architecture and Data Strategy at Stryker for a live brainstorming session on how to implement data governance for the data mesh.
Join Tim, Juan and special guest Benn Stancil, chief analytics officer and founder of Mode to discuss all things Metrics Layer including what it is and why we should care.
Special guest Emily Hawkins, analytics and data platform lead, joins Tim and Juan to share how the data team and the data stack were established and how the e-commerce platform is evolving following the company’s acquisition by Uber.
Join Tim, Juan and Sarah Catanzaro from Amplify Partners, to discuss what’s in store in 2022.
Join Juan and Tim for the Season Two Finale of Catalog & Cocktails as they discuss the takeaways of all takeaways from the last 20 episodes!
Join Juan, Tim, and special guest, Steve Whitla from Visual Meaning for a discussion about how humans and systems talk to one another, and even have meaningful conversations.
Join Tim, Juan and special guest Kelly Wright, president and COO at Gong and former VP at Tableau, for a discussion on data and analytics past, present, and future
What holds the modern data stack together and makes it the architecture of choice for so many data-driven enterprises? Join Tim, Juan and special guest, Nick Schrock, founder of Elemental and creator of Dagster and GraphQL, to chat about all things MDS.
Join Tim, Juan and special guest Andy Palmer, Co-Founder and Chairman of Tamr, to talk open vs. closed ecosystems and how to decide what’s right for you
Tim, Juan, and special guest Cindi Howson, chief data strategy officer at ThoughtSpot and host of The Data Chief Podcast explore the positives and potential downsides of data democratization and how to drive data cultures that bias for good.
Special guest Erik Bernhardsson, formerly with Better.com and Spotify, joins Tim and Juan for a conversation on data tools; the good, bad and the ugly.
This week, we're joined by Doug Laney, author of the best-selling book, "Infonomics: How to Monetize, Manage, and Measure Information as an Asset for Competitive Advantage.” We'll talk about taking better care of your data, so it can take better care of you.
We're settling this whole data mesh debate the only way we know how: a good old-fashioned debate. Only one side can win.
Join Tim, Juan and special guest Partha Srinivasa, award-winning CIO/CTO/CDO and current CDO of Verisk, for a conversation about data responsibility and ethics.
Join Tim, Juan and special guest Danielle Oberdier, founder of DiKayo Data and host of the popular DataFemme podcast, to talk about the state of data jobs
Join Tim, Juan and special guest Mammad Zadeh, former VP of Engineering at Intuit, for a deep dive on data tools, leadership, and change management.
Join Tim, Juan and guest Jans Aasman from Franz Inc, the makers of AllegroGraph, for a conversation on why your graph-based machine learning and 360 projects should start with data modeling.
This week, Tim and Juan join Lars Albertsson, founder of Scling, to talk about data productivity and balancing a technology vs product-driven approach to data.
ETL (Extract Transform and Load) was the SOP for data integration for 25+ years. A decade ago the introduction of data lakes pushed transformation to the end of the process and into tools like Snowflake, BigQuery, and Redshift. Now the latest chatter in the data management industry is Reverse ETL. Shouldn’t we call this LTE?
We focus so much on tools, processes, and architectures, but we don’t talk enough about actually using the data. This week, Tim and Juan are joined by Mike Ferguson, managing director of Intelligent Business Strategies Limited
In this episode, Tim and Juan are joined by Kirk Borne, Chief Science Officer at Dataprime AI to demystify some of our most egregious buzzwords and look at what everyone’s going to be talking about next.
Open source software is one of the largest and fastest growing segments within the data landscape. And if you’re implementing DataOps practices or considering data mesh, openness and flexibility are key architectural principles.
The data landscape has evolved substantially over the last decade. We’ve gone from data lakes to data hubs to lake houses. We see data represented as documents, columns, graphs, and time series. So how might this evolution continue over the next ten years?
We're "back in the office." Now what? Hear Juan, Tim and Former U.S. Chief Data Scientist, DJ Patil discuss what we learned about data work and data people over the last year.
Panel Discussion on Data Architecture at the Knowledge Graph Conference
Hosts Juan and Tim embarked on this journey that turned into a 50-episode series.
Explore the intersection of BI, analytics, and artificial intelligence.
We always talk about managing metadata and data...but what about managing knowledge? It has to be more than keeping a spreadsheet of a business glossary!
Classic Rock, historical paintings, and fine wine; some things are better left untouched. When it comes to your data stack however, that rule doesn’t apply.
Every maturing company hits a point where the processes and systems that once worked no longer scale. Don’t let this happen to your data organization.
Join Tim, Juan, and Chris Bergh from Data Kitchen for a conversation about DataOps and why it's imperative for your organization.
Mesh is everywhere. It’s in our clothes, our fishing nets, our Wifi networks, and now our data architecture. But what is a data mesh? Do you need one? And if so, how do you start?
Get a gist of the Data Science U syllabus as George Fletcher, Professor at TU Eindhoven, discusses how higher level institutions are preparing the future data workforce.
Know what it takes to shift from an application-centric to a data-centric mindset? There's a couple things to do... and it all starts from right within your organization.
Your company is making poor decisions about how to bring its latest product to market. Step one is building a strong data and analytics team.
Like the origins of the universe, there can be quite a mystery surrounding the genesis of your company’s datasets.
What’s the best way to get to know your customers? Learn how Wunderman Thompson understands their market using their identity graph.
We've relied on data integration processes like ETL (Extract-Transform-Load) to get the data in for decades, and little has changed in that time. Why?
When data is powering your business, you expect that data to be trustworthy in real time, all the time, but that’s easier said than done.
If data is the new oil, does that mean Chief Data Officers are the new baron? Not exactly, but it is a fast growing executive role.
We test our food. We test our cars. We test our code. But do we test our data? Data testing is a state of mind and commitment.
The insurance industry thrives on robust, diverse, accurate, and innovative data. In fact, it’s one of the most data rich verticals around, dealing in claims, ratings, coverage, pricing, geographic, and people data and so much more.
Is data governance making you more productive? Or is it a pain that you just have to deal with for the good of the company? If you’ve got data issues, it may be time for a therapy session.
Let’s talk data management frameworks. What is a data fabric and how is it different from a data mesh? No seriously, we’re trying to figure it out ourselves.
There’s a dashboard for everything in the enterprise now, so it’s easy to answer your complex questions in graphical form.
Our podcast began with an ambitious episode titled, “the future of data management.” And since then we’ve covered a lot of ground, from career paths and culture changes to data governance and data policy.
You may recognize your company needs a data catalog. But does your boss get it? Can you justify the investment and determine how quickly and what kind of return you’ll get?
What’s the secret behind Airbnb’s famously data-driven culture? It’s the company’s ability to provide all employees - not just the ‘data people’ - the ability to discover, understand, and trust data.
Master Data Management (MDM) sits at the intersection of metadata and data and has a lot in common with data integration, data modeling, and knowledge building use cases. It’s “old school” technology that even today confuses many data leaders. Is it still relevant?
The latest 2020 Data & AI Landscape now includes 80 boxes, each featuring anywhere from 10-30 vendor offerings! How do you navigate this landscape? Where do you start? And how do you know when you’re done?
“I love documentation” … said no one. But let’s be honest, what’s worse: having no documentation or having bad/outdated documentation? And to further make the situation worse, documentation is an afterthought for metadata and data projects.
Does the very idea of creating and managing new data assets keep you up at night? Do you get goosebumps just thinking about the state of your column headers?
When you think about enterprise data, do you only consider the data associated directly with your company and its customers? It might surprise you to know external data is the fastest growing segment of enterprise data.
Is your data culture a drag? Turning it around requires you to be bold and take action. Join Tim and Juan as they discuss examples of what you should and shouldn’t do, and how to accelerate the transition to data awesomeness.
Since 1848, The Associated Press has been counting and reporting the votes in US elections. But they haven’t always done it the same way.
Have you ever heard someone say, “data is a team sport?” The comparison makes sense. You can’t be successful on your own, you need to work well with peers, you run up against tough opposing forces.
Juan and Tim recap the biggest ideas and perspectives shared at this year’s data.world summit.
Data catalogs are foundational to a successful enterprise data management strategy. But, should you buy one off the rack or build it yourself using open source tools?
Enterprises are looking to ML/AI innovations in data management to accelerate their data strategies and achieve critical business goals. But how much of what we hear about ML/AI is real, and how much is hype?
The power of the crowd is everywhere these days. We fund companies through crowdsourcing. We crowdsource products, commercials, and designs for ugly Christmas sweaters.
Does the future of data management involve semantic technologies? Is Semantic Web an answer to providing a universal medium to exchange data and knowledge?
What do you know about the quality of your data? Who’s responsible for cleaning and maintaining it? And what would ‘beautiful data’ mean to your company?
What comes first, the data warehouse, or the data catalog? It’s a vexing chicken and egg question that data teams must answer.
In this episode, we’ll explore how these various personas interact and why we believe a data product manager should sit right smack in the middle.
Data management is a broad discipline with so many people, tools, and methodologies. Sorting it all out is tough, and many companies are inclined to ”boil the ocean.”
60% of organizations will use data catalogs by 2023. This prediction by IDC suggests a large number of companies are still using manual and complex processes to make sense of data.
The Coronavirus pandemic is also a case study in public data. Everywhere we look we find statistics: number of coronavirus cases, unemployment levels, economic predictions, etc.
Successful enterprises understand the importance of data-informed decisions. But what role does data play in government affairs?
How can you be certain the data you’re working with is trusted, up-to-date and understandable?
What do companies like Airbnb, Google, and Lyft have in common? They put knowledge graphs at the center of their metadata and data strategy.
In this episode, we will chat how these pain points should be addressed by a data catalog in order to provide value to data teams.
In this episode, we will chat about the myriad personas that interact with data, from producers to consumers and everything in between.
In episode three, data.world CTO and co-founder Bryon Jacob joins Juan and Tim to share how data integration nightmares in a prior role put him on the path to data and metadata enlightenment.
This episode will look at how catalogs can address the continuum of metadata and data management and give you an achievable starting point on your journey to understanding all your data.
Data warehouses, big data, data lakes. How did we get here? Where is it all heading? Step up to the bar, and join Juan Sequeda and Tim Gasper as they discuss the future of enterprise data management.