Jonathan Frankle is the Chief Scientist at MosaicML, which was recently bought by Databricks for $1.3 billion.  MosaicML helps customers train generative AI models on their data. Lots of companies are excited about gen AI, and the hope is that their company data and information will be what sets them apart from the competition.  In this conversation with Tristan and Julia, Jonathan discusses a potential future where you can train specialized, purpose-built models, the future of MosaicML inside of Databricks, and the importance of responsible AI practices. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.

The Lakehouse architecture has emerged as the ideal data architecture for the AI age. It unites the structured world of analytics with the rapidly evolving world of AI.But what really makes something a “Lakehouse” and why should you care? In this session, Databricks discusses the key components of a lakehouse, what you should look for when adapting this paradigm and how Databricks and dbt are together enabling analytics engineers, analysts and data scientists to collaborate together on a single unified platform.

Speaker: Thor List, Senior Field Engineering Manager, Databricks

Register for Coalesce at https://coalesce.getdbt.com

Supercharge your analytics engineering with the power of automated CI checks. Learn how FINN, a global car subscription service, has harnessed the capabilities of automated CI checks to maintain the delicate balance between swift development and robust data pipeline quality as they've scaled their data teams. Dive into insights and strategies to ensure quality without sacrificing speed and discover how to improve your data operations.

Speakers: Chiel Fernhout, Software Engineer, Datafold; Jorrit Posor, Tech Lead Data Engineering, FINN GmbH; Felix Kreitschmann, Senior PM, Data, FINN Auto

Register for Coalesce at https://coalesce.getdbt.com

How a team of eight Analytics Engineers rolled out dbt across Virgin Media O2 to become a data driven company.

Speakers: Oliver Burt, Lead Analytics Engineer, Virgin Media O2; Jason Jones, Analytics Engineering Manager, Virgin Media O2

Register for Coalesce at https://coalesce.getdbt.com

Showcasing how analytics engineers can add value to a business by simplifying complex asks into an easy to analyze format. This particular example looks at how we can achieve great insight into our product's performance from a standardized table structure and some clever macros.

Speaker: George Apps, Analytics Engineering, Travelperk

Register for Coalesce at https://coalesce.getdbt.com

The Lakehouse architecture unites the structured world of analytics with the rapidly evolving world of AI.

But what really makes something a “Lakehouse” and why should you care? In this session, Databricks discusses the key components of a lakehouse, what you should look for when adapting this paradigm and how Databricks and dbt are together enabling analytics engineers, analysts and data scientists to collaborate together on a single unified platform. You’ll hear from a customer about how they leveraged dbt Cloud on Databricks to deliver powerful customer experiences quickly and efficiently. Ken Wong shares the latest capabilities of Databricks platform and provides a sneak peek of upcoming features.

Speakers: Ken Wong, Senior Director of Product Management, Databricks; Samuel Garfield, Analytics Engineer, Retool

Register for Coalesce at https://coalesce.getdbt.com

Take a look at how the finance data team at Snowflake leverages dbt to drive strategic decision-making within the finance and accounting organizations. This talk spans topics including development velocity, cost governance, and data stewardship.

Speakers: Sandra Herchen, Analytics Engineering Manager, Snowflake; Jack Peele, Business Intelligence Analyst, Snowflake

Register for Coalesce at https://coalesce.getdbt.com

This panel discussion led by Data Clymer brings together data leaders from some of the top professional sports organizations in the U.S. to explore how sports and similar mid-size businesses are leveraging data and analytics engineering best practices to fuel revenue growth, improve business efficiencies, and drive fan engagement.

Speakers: Jesse McCabe, Vice President Marketing, Data Clymer; Keelan Smithers, Data Product Manager, Analytics Engineering, NBA; Paimon Jaberi, Managing Director of Strategy and Analytics, Seattle Seahawks; Jared Chavez, Senior Data Engineer, Pacers Sports & Entertainment

Register for Coalesce at https://coalesce.getdbt.com

When a startup is in its early stages, the data infrastructure is typically built with the best intentions, but doesn’t necessarily scale, and often predates many modern data tools available today. Years later, you might find yourself juggling complexity and tech debt when providing insights. This talk shares the journey Unbounce embarked on to modernize their data stack, including approaches to the following hurdles: demonstrating value and ROI to leadership for buy-in; deciding which tools to adopt; coordinating with data engineers and data analysts to deliver the cross-team project; and ensuring there were no interruptions to stakeholders throughout the migration.

Speaker: Morgan Cabot, Analytics engineering technical lead, Unbounce

Register for Coalesce at https://coalesce.getdbt.com

The Fivetran Analytics Engineering team strives to make its dbt packages multi-faceted enough and functional for the majority of data teams, balancing flexibility against ease of implementation. This means that the packages should get you 80% of the way there out of the box, but you're not alone as you cover the final 20%!

Over the years, the team has further developed its understanding of the nuances of analyses and developed different methods for folks to easily tweak packages to their liking. This session will discuss passthrough columns, union macros, and overriding package models, and will teach you how to use these features to make Fivetran's packages work for you or even leverage the same patterns in your own work.

Speaker: Jamie Rodriguez, Senior Analytics Engineer, Fivetran

Register for Coalesce at https://coalesce.getdbt.com

Join Snowflake & Deloitte as they discuss how organizations can become exponential enterprise ready through the power of the Snowflake Data Cloud and dbt Cloud's ability to write, test, and ship reliable data in quick time. This session updates you on what your organization needs to do to become exponential enterprise ready. This session also shares examples of organizations that have already made the successful transformation and why they are winning in the market with dbt, Deloitte and Snowflake.

Speakers: Mathew Zele, Cloud & ISV Lead, Snowflake; Vivek Pradhan Lead Partner - Data and AI Platforms , Deloitte; Sagar Kulkarni Partner Sales Engineer, Snowflake

Register for Coalesce at https://coalesce.getdbt.com/

Does career growth feel like a black box? Does the question "where do you want to be in five years" fill you with existential dread? Data people come in all shapes and sizes, from backgrounds and disciplines, which can make it hard to see a clear growth path through the industry. In this session, Kasey Mazza at Hubspot explains how you can explore the whole ecosystem of data roles without feeling overwhelmed.

As the great Natasha Bedingfield once said,” the rest is still unwritten.” While a blank canvas ahead of you can be scary, it's also full of promise and opportunity. You'll leave this session with actionable next steps on how to be in control of your career growth and your destiny.

Speaker: Kasey Mazza, Manager, Analytics Engineering, HubSpot

Register for Coalesce at https://coalesce.getdbt.com/

Video highlights from Coalesce 2023 in San Diego. Coalesce is a conference for data practitioners, by data practitioners.

Coalesce is hosted by dbt Labs and crafted in collaboration with partners to advance the practice of the analytics engineering industry. Anyone that seeks new tips, tools, or techniques for more impactful data work is welcome to attend.

Sign up for our next Coalesce: https://coalesce.getdbt.com/

In this conversation with Tristan recorded at Coalesce 2023, Kasey Mazza, an analytics engineering manager on the RevOps team at HubSpot, discusses the roles of data analysts and analytics engineers, the importance of building internal data communities, and the evolving landscape of data teams.  Watch Kasey's Coalescse 2023 presentation The career growth software development lifecycle. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.  The Analytics Engineering Podcast is sponsored by dbt Labs.

Uncover the transformative power of decentralising data with host Jason Foster and Nachiket Mehta, Head of Data and Analytics Engineering at Wayfair. They delve into Wayfair's journey from a centralised data approach to a decentralised model, the challenges they encountered, the value created, and how it has led to faster and more informed decision-making. Explore how Wayfair is utilising domain models, data contracts, and a platform-based approach to empower teams and enhance overall performance, and learn how decentralisation can revolutionise your organisation's data practices and drive business growth.

It turns out data plays a big role in getting cereal manufactured and delivered so you can enjoy your Cheerios reliably for breakfast. We talk with Arjun Narayan, CEO of Materialize, a company building an operational warehouse, and Nathan Bean, a data leader at General Mills responsible for all of the company's manufacturing analytics and insights.  We discuss Materialize's founding story, how streaming technology has matured, and how exactly companies are leveraging their warehouse to operationalize their business—in this case, at one of the largest consumer product companies in the United States.  For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.  The Analytics Engineering Podcast is sponsored by dbt Labs.

Jerry Liu is the CEO and co-founder of LlamaIndex. LlamaIndex is an open-source framework that helps people prep their data for use with large language models in a process called retrieval augmented generation. LLMs are great decision engines, but in order for them to be useful for organizations, they need additional knowledge and context, and Jerry discusses how companies are bringing their data to tailor LLMs for their needs. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.  The Analytics Engineering Podcast is sponsored by dbt Labs.

Ian Macomber, head of analytics engineering and data science at Ramp and formerly the VP of analytics and data engineering at Drizly, and Ryan Delgado, a staff software engineer at Ramp, have played pivotal roles in establishing Ramp's data team from the ground up and are spearheading the development of their comprehensive roadmap. In this conversation with Tristan and Julia, Ian and Ryan share insights on how Ramp's data team transformed unstructured data from contracts into valuable insights to enable faster decision-making. The $8 billion company values speed and empowers teams to build, ship, and measure products quickly. Ian and Ryan also talked about their approach to adopting new tech and elevating data as an equal player alongside product engineering and design. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.  The Analytics Engineering Podcast is sponsored by dbt Labs.

Daniel Le is the CFO at dbt Labs where he has built multiple teams. He is also the former head of FP&A and operations at Zoom, and he helped scale FP&A as the former finance director at Okta.  In this conversation with Julia, Daniel shares his view as CFO on the challenges SaaS companies face and the importance of finance teams creating a holistic view of their business. Daniel gives advice to data leaders about how they can automate business processes with dbt Cloud and use self-service analytics to automate revenue recognition, generate consistent headcount analytics, and more to impact their organization. Read more about Daniel's story here. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.  The Analytics Engineering Podcast is sponsored by dbt Labs.

Hear from three guests. Harrison Chase (CEO, LangChain) and Nicolas Palaez (Sr. Technical Marketing Manager, Databricks) on LLMs and generative AI. Third guest, Drew Banin (co-founder, dbt Labs), discusses analytics engineering workflow with his company dbt Labs, how he started the company, and how they provide value with the Databricks partnership. Hosted by Ari Kaplan (Head of Evangelism, Databricks) and Pearl Ubaru (Sr Technical Marketing Engineer, Databricks)

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