talk-data.com

What are dbt meetups? dbt Meetups are networking events open to all folks working with data! Talks predominantly focus on community members' experience with dbt, however, you'll catch presentations on broader topics such as analytics engineering, data stacks, data ops, modeling, testing, and team structures. 🤝Organizers: Chitra Sundaram (Cleartelligence), Riddhima Shukla (Cleartelligence) 🏠Venue Host: 125 Summer Street, Boston 02110

🍕Catering: TBD To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy 📝Agenda

• 6:00 - 7:00 \| Check in/Registration/ Networking (60 min)
• 7:00 - 7:05 \| Welcome Remarks by Meetup Host (5 min)
• 7:05 - 7:25 \| Presentation 1: Building a dbt-Powered Data Catalog with Rust & React (15-20 min)
• 7:25 - 7:30 \| Presentation 1 Q&A (5 min)
• 7:30 - 7:50 \| Presentation 2: How dbt compliments Starburst (15-20 min)
• 7:50 - 7:55 \| Presentation 2 Q&A (5 min)
• 7:55 - 8:00 \| Closing Remarks by Meetup Host (5 min)

🗣️Presentation #1: Building a dbt-Powered Data Catalog with Rust & React Speaker: Aidan Correll, Associate BI Engineer, Klaviyo --- 🗣️Presentation #2 How dbt compliments Starburst Speaker: Matt Fuller, Co-Founder and VP of Product, Starburst Data

➡️ Join the dbt Slack community: https://www.getdbt.com/community/ 🤝For the best Meetup experience, make sure to join the #local-boston channel in dbt Slack (https://slack.getdbt.com/). ---------------------------------- dbt is the standard in data transformation, used by over 30,000 organizations worldwide. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust. Learn more: https://www.getdbt.com/

• dbt Meetups are gatherings dedicated to helping you own your analytics engineering workflow. Events will focus on the impact of dbt in the data community and professional development tools for analytics engineers.
• Expect big-picture conversations related to the data stacks, data operations, data teams, modeling, testing, dashboards, etc. If you work with data, this group is for you! We welcome data analysts, scientists, engineers, architects, and more!! While students are welcome, this event is more geared toward professionals.

Due to an ongoing maintenance issue in our regular venue, we are moving just two stops south to Borough. Please double-check the location in the event details before you travel!

Wednesday 15th January we're back with our 20th OpenUK London community meetup! We've had the hype, now let's get real with how AI is working for us, of course the open source kind! (Open AI in the title is not to be confused with OpenAI because that is not open.)

6:30 pm: Arrive on time, grab a bev, a slice and a chat. Scope out our swag table (bring pieces to contribute or trade!) Add to our whiteboarding brainstorm

6:45 pm: Welcome, reminder of code of conduct, and discussion of whiteboard 7:00 pm: State of AI Openness 2024 explained with Amanda Brock, OpenUK CEO 7:20pm: Speech to Speech translation with a cascade of open source models, presented by AI developer Nikita Krasnytskyi 7:40 pm: Unum Cloud, advanced AI computing company for scaling intelligence, presented by founder Ash Vardanian 8:00 pm: Zeval: Open Source Testing Library for LLMs, presented by Matt Carey 8:45 pm: Clean up and leave. Bring tupperware so we don't waste pizza! We will give one ticket away to someone online and to someone in person to this year's State of Open Con!

Thank you to our sponsors Avanade for providing this great space and yummy pizza!

The link for the online version of this event will be added about a week before, so please check back.

By attending this or any OpenUK event, you are adhering to our Code of Respect and OpenUK's Competition Policy. Please read ahead.

If you would like to hear more about OpenUK's other events, you can join our Newsletter. After attending, look out for an email with an invite to our burgeoning Slack community as a way to keep in touch and support each other between activities.

Tuesday 15th October is our 18th OpenUK London community meetup. This month we are discussing the dichotomy of can open source even be a business? Following last month's Economics of Open Source report, we will dive into and discuss the results and talk about how you can get the most out of your most often free open source contributions or how could it be a business?

We are kicking off a bit later this month but you can check in downstairs from 645. 7:00pm: Arrive, grab a bev, a slice and a chat. Scope out our swag table (bring pieces to contribute or trade!) 7:15 pm: Panel including Lee Wright, Liam Crilly, Amanda Brock, Matt Barker and Paula Kennedy, moderated by Jennifer Riggins Followed by an interactive fishbowl: five seats at the front of the room, with one always empty. If a fifth sits down, one of the others gets up. A continuous discussion that flows around a topic. Anyone is welcome to jump right into the "bowl" at any time with questions, topics or responses. 8:30-8:45 pm: Cleanup and see-ya-next-time.

Please remember to bring your I.D. if you are attending in person, as it is required to access the venue. Note the venue does not permit e-scooters or bicycles within the building.

Thank you to our sponsors Avanade for providing this great space and yummy pizza! By attending this or any OpenUK event, you are adhering to our Code of Respect and OpenUK's Competition Policy. Please read ahead.

If you would like to hear more about OpenUK's other events, you can join our Newsletter. After attending, look out for an email with an invite to our burgeoning Slack community as a way to keep in touch and support each other between activities.

It is PAID event. You may access training with paid subscription to Ai+ training platform or purchase access to this specific session. More details are here - https://hubs.li/Q02F61jN0

This workshop will show how to use XGBoost. It will demonstrate model creation, model tuning, model evaluation, and model interpretation. The XGBoost library is one of the most popular libraries with data scientists for creating predictive models with structured (or tabular) data. This workshop will cover the library, tuning it, evaluating models created by it, and understanding predictions from it. Attendees will have the chance to try it out with the labs.

Instructor's bio: Matt Harrison\, Python & Data Science Corporate Trainer \| Consultant \| MetaSnake Matt Harrison has been using Python since 2000. He runs MetaSnake, a Python and Data Science consultancy and corporate training shop. In the past, he has worked across the domains of search, build management and testing, business intelligence, and storage. He has presented and taught tutorials at conferences such as Strata, SciPy, SCALE, PyCON, and OSCON as well as local user conferences.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

It is PAID event. You may access training with paid subscription to Ai+ training platform or purchase access to this specific session. More details are here - https://hubs.li/Q02F61jN0

This workshop will show how to use XGBoost. It will demonstrate model creation, model tuning, model evaluation, and model interpretation. The XGBoost library is one of the most popular libraries with data scientists for creating predictive models with structured (or tabular) data. This workshop will cover the library, tuning it, evaluating models created by it, and understanding predictions from it. Attendees will have the chance to try it out with the labs.

Instructor's bio: Matt Harrison\, Python & Data Science Corporate Trainer \| Consultant \| MetaSnake Matt Harrison has been using Python since 2000. He runs MetaSnake, a Python and Data Science consultancy and corporate training shop. In the past, he has worked across the domains of search, build management and testing, business intelligence, and storage. He has presented and taught tutorials at conferences such as Strata, SciPy, SCALE, PyCON, and OSCON as well as local user conferences.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

It is PAID event. You may access training with paid subscription to Ai+ training platform or purchase access to this specific session. More details are here - https://hubs.li/Q02F61jN0

This workshop will show how to use XGBoost. It will demonstrate model creation, model tuning, model evaluation, and model interpretation. The XGBoost library is one of the most popular libraries with data scientists for creating predictive models with structured (or tabular) data. This workshop will cover the library, tuning it, evaluating models created by it, and understanding predictions from it. Attendees will have the chance to try it out with the labs.

Instructor's bio: Matt Harrison\, Python & Data Science Corporate Trainer \| Consultant \| MetaSnake Matt Harrison has been using Python since 2000. He runs MetaSnake, a Python and Data Science consultancy and corporate training shop. In the past, he has worked across the domains of search, build management and testing, business intelligence, and storage. He has presented and taught tutorials at conferences such as Strata, SciPy, SCALE, PyCON, and OSCON as well as local user conferences.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

It is PAID event. You may access training with paid subscription to Ai+ training platform or purchase access to this specific session. More details are here - https://hubs.li/Q02F61jN0

This workshop will show how to use XGBoost. It will demonstrate model creation, model tuning, model evaluation, and model interpretation. The XGBoost library is one of the most popular libraries with data scientists for creating predictive models with structured (or tabular) data. This workshop will cover the library, tuning it, evaluating models created by it, and understanding predictions from it. Attendees will have the chance to try it out with the labs.

Instructor's bio: Matt Harrison\, Python & Data Science Corporate Trainer \| Consultant \| MetaSnake Matt Harrison has been using Python since 2000. He runs MetaSnake, a Python and Data Science consultancy and corporate training shop. In the past, he has worked across the domains of search, build management and testing, business intelligence, and storage. He has presented and taught tutorials at conferences such as Strata, SciPy, SCALE, PyCON, and OSCON as well as local user conferences.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

It is PAID event. You may access training with paid subscription to Ai+ training platform or purchase access to this specific session. More details are here - https://hubs.li/Q02F61jN0

This workshop will show how to use XGBoost. It will demonstrate model creation, model tuning, model evaluation, and model interpretation. The XGBoost library is one of the most popular libraries with data scientists for creating predictive models with structured (or tabular) data. This workshop will cover the library, tuning it, evaluating models created by it, and understanding predictions from it. Attendees will have the chance to try it out with the labs.

Instructor's bio: Matt Harrison\, Python & Data Science Corporate Trainer \| Consultant \| MetaSnake Matt Harrison has been using Python since 2000. He runs MetaSnake, a Python and Data Science consultancy and corporate training shop. In the past, he has worked across the domains of search, build management and testing, business intelligence, and storage. He has presented and taught tutorials at conferences such as Strata, SciPy, SCALE, PyCON, and OSCON as well as local user conferences.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

It is PAID event. You may access training with paid subscription to Ai+ training platform or purchase access to this specific session. More details are here - https://hubs.li/Q02F61jN0

This workshop will show how to use XGBoost. It will demonstrate model creation, model tuning, model evaluation, and model interpretation. The XGBoost library is one of the most popular libraries with data scientists for creating predictive models with structured (or tabular) data. This workshop will cover the library, tuning it, evaluating models created by it, and understanding predictions from it. Attendees will have the chance to try it out with the labs.

Instructor's bio: Matt Harrison\, Python & Data Science Corporate Trainer \| Consultant \| MetaSnake Matt Harrison has been using Python since 2000. He runs MetaSnake, a Python and Data Science consultancy and corporate training shop. In the past, he has worked across the domains of search, build management and testing, business intelligence, and storage. He has presented and taught tutorials at conferences such as Strata, SciPy, SCALE, PyCON, and OSCON as well as local user conferences.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q01S37XT0

Topic: “Overcoming External Data Hurdles and Enriching Predictive Forecasts at Scale”

Speaker#1: Baylen Springer, CEO of Ready Signal Baylen has over 20 years of experience in marketing, analytics, and product development. Prior, Baylen was the Chief Product Officer at Leavened, leading product development for a platform delivering Marketing Mix Modeling and Television optimization solutions. Additionally, he was an SVP of Media Analytics for Ford Motor Company. Baylen received his B.S. in computer science from the University of Michigan and an MBA from the University of Michigan Ross School of Business.

Speaker#2: Matt Schaefer, Chief Growth Officer of Ready Signal Matt is an accomplished SaaS technology executive with a seasoned background in Data Analytics, Artificial Intelligence and Machine Learning at hyper-growth technology companies. During his evolving roles, he has built transformative value in the mid-market and Fortune 1000 space, operationalizing data into industry vertical solutions and helped scale organizations from start-up to successful IPO. At Ready Signal, he is responsible for leading the strategic growth efforts for the disruptive technology company that streamlines the integration of data from external factors to drive real-time, contextual decisions and forecasting solutions for any organization.

Abstract: A well-structured plan for using external or “alternative” data in your data science and analytics practice can be a competitive advantage. The problem is the external data ecosystem is fragmented and expanding rapidly. Thousands of data outlets that are not normalized or easy to procure makes the data wrangling task even more challenging, but not insurmountable.

Join this interactive session with experts from Ready Signal as they explore strategies to mature your data integration and decision intelligence processes. Session takeaways include: - Evolving your data strategy: The Importance of Alternative Data - Overcoming challenges in building quality alternative data sources into analytics workflows and predictive models. - Real-world use cases in scaling external data sources to optimize cost and maximize business value

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01Qnvfb0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q01S37XT0

Topic: “Overcoming External Data Hurdles and Enriching Predictive Forecasts at Scale”

Speaker#1: Baylen Springer, CEO of Ready Signal Baylen has over 20 years of experience in marketing, analytics, and product development. Prior, Baylen was the Chief Product Officer at Leavened, leading product development for a platform delivering Marketing Mix Modeling and Television optimization solutions. Additionally, he was an SVP of Media Analytics for Ford Motor Company. Baylen received his B.S. in computer science from the University of Michigan and an MBA from the University of Michigan Ross School of Business.

Speaker#2: Matt Schaefer, Chief Growth Officer of Ready Signal Matt is an accomplished SaaS technology executive with a seasoned background in Data Analytics, Artificial Intelligence and Machine Learning at hyper-growth technology companies. During his evolving roles, he has built transformative value in the mid-market and Fortune 1000 space, operationalizing data into industry vertical solutions and helped scale organizations from start-up to successful IPO. At Ready Signal, he is responsible for leading the strategic growth efforts for the disruptive technology company that streamlines the integration of data from external factors to drive real-time, contextual decisions and forecasting solutions for any organization.

Abstract: A well-structured plan for using external or “alternative” data in your data science and analytics practice can be a competitive advantage. The problem is the external data ecosystem is fragmented and expanding rapidly. Thousands of data outlets that are not normalized or easy to procure makes the data wrangling task even more challenging, but not insurmountable.

Join this interactive session with experts from Ready Signal as they explore strategies to mature your data integration and decision intelligence processes. Session takeaways include: - Evolving your data strategy: The Importance of Alternative Data - Overcoming challenges in building quality alternative data sources into analytics workflows and predictive models. - Real-world use cases in scaling external data sources to optimize cost and maximize business value

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01Qnvfb0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q01S37XT0

Topic: “Overcoming External Data Hurdles and Enriching Predictive Forecasts at Scale”

Speaker#1: Baylen Springer, CEO of Ready Signal Baylen has over 20 years of experience in marketing, analytics, and product development. Prior, Baylen was the Chief Product Officer at Leavened, leading product development for a platform delivering Marketing Mix Modeling and Television optimization solutions. Additionally, he was an SVP of Media Analytics for Ford Motor Company. Baylen received his B.S. in computer science from the University of Michigan and an MBA from the University of Michigan Ross School of Business.

Speaker#2: Matt Schaefer, Chief Growth Officer of Ready Signal Matt is an accomplished SaaS technology executive with a seasoned background in Data Analytics, Artificial Intelligence and Machine Learning at hyper-growth technology companies. During his evolving roles, he has built transformative value in the mid-market and Fortune 1000 space, operationalizing data into industry vertical solutions and helped scale organizations from start-up to successful IPO. At Ready Signal, he is responsible for leading the strategic growth efforts for the disruptive technology company that streamlines the integration of data from external factors to drive real-time, contextual decisions and forecasting solutions for any organization.

Abstract: A well-structured plan for using external or “alternative” data in your data science and analytics practice can be a competitive advantage. The problem is the external data ecosystem is fragmented and expanding rapidly. Thousands of data outlets that are not normalized or easy to procure makes the data wrangling task even more challenging, but not insurmountable.

Join this interactive session with experts from Ready Signal as they explore strategies to mature your data integration and decision intelligence processes. Session takeaways include: - Evolving your data strategy: The Importance of Alternative Data - Overcoming challenges in building quality alternative data sources into analytics workflows and predictive models. - Real-world use cases in scaling external data sources to optimize cost and maximize business value

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01Qnvfb0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q01S37XT0

Topic: “Overcoming External Data Hurdles and Enriching Predictive Forecasts at Scale”

Speaker#1: Baylen Springer, CEO of Ready Signal Baylen has over 20 years of experience in marketing, analytics, and product development. Prior, Baylen was the Chief Product Officer at Leavened, leading product development for a platform delivering Marketing Mix Modeling and Television optimization solutions. Additionally, he was an SVP of Media Analytics for Ford Motor Company. Baylen received his B.S. in computer science from the University of Michigan and an MBA from the University of Michigan Ross School of Business.

Speaker#2: Matt Schaefer, Chief Growth Officer of Ready Signal Matt is an accomplished SaaS technology executive with a seasoned background in Data Analytics, Artificial Intelligence and Machine Learning at hyper-growth technology companies. During his evolving roles, he has built transformative value in the mid-market and Fortune 1000 space, operationalizing data into industry vertical solutions and helped scale organizations from start-up to successful IPO. At Ready Signal, he is responsible for leading the strategic growth efforts for the disruptive technology company that streamlines the integration of data from external factors to drive real-time, contextual decisions and forecasting solutions for any organization.

Abstract: A well-structured plan for using external or “alternative” data in your data science and analytics practice can be a competitive advantage. The problem is the external data ecosystem is fragmented and expanding rapidly. Thousands of data outlets that are not normalized or easy to procure makes the data wrangling task even more challenging, but not insurmountable.

Join this interactive session with experts from Ready Signal as they explore strategies to mature your data integration and decision intelligence processes. Session takeaways include: - Evolving your data strategy: The Importance of Alternative Data - Overcoming challenges in building quality alternative data sources into analytics workflows and predictive models. - Real-world use cases in scaling external data sources to optimize cost and maximize business value

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01Qnvfb0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q01S37XT0

Topic: “Overcoming External Data Hurdles and Enriching Predictive Forecasts at Scale”

Speaker#1: Baylen Springer, CEO of Ready Signal Baylen has over 20 years of experience in marketing, analytics, and product development. Prior, Baylen was the Chief Product Officer at Leavened, leading product development for a platform delivering Marketing Mix Modeling and Television optimization solutions. Additionally, he was an SVP of Media Analytics for Ford Motor Company. Baylen received his B.S. in computer science from the University of Michigan and an MBA from the University of Michigan Ross School of Business.

Speaker#2: Matt Schaefer, Chief Growth Officer of Ready Signal Matt is an accomplished SaaS technology executive with a seasoned background in Data Analytics, Artificial Intelligence and Machine Learning at hyper-growth technology companies. During his evolving roles, he has built transformative value in the mid-market and Fortune 1000 space, operationalizing data into industry vertical solutions and helped scale organizations from start-up to successful IPO. At Ready Signal, he is responsible for leading the strategic growth efforts for the disruptive technology company that streamlines the integration of data from external factors to drive real-time, contextual decisions and forecasting solutions for any organization.

Abstract: A well-structured plan for using external or “alternative” data in your data science and analytics practice can be a competitive advantage. The problem is the external data ecosystem is fragmented and expanding rapidly. Thousands of data outlets that are not normalized or easy to procure makes the data wrangling task even more challenging, but not insurmountable.

Join this interactive session with experts from Ready Signal as they explore strategies to mature your data integration and decision intelligence processes. Session takeaways include: - Evolving your data strategy: The Importance of Alternative Data - Overcoming challenges in building quality alternative data sources into analytics workflows and predictive models. - Real-world use cases in scaling external data sources to optimize cost and maximize business value

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01Qnvfb0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q01S37XT0

Topic: “Overcoming External Data Hurdles and Enriching Predictive Forecasts at Scale”

Speaker#1: Baylen Springer, CEO of Ready Signal Baylen has over 20 years of experience in marketing, analytics, and product development. Prior, Baylen was the Chief Product Officer at Leavened, leading product development for a platform delivering Marketing Mix Modeling and Television optimization solutions. Additionally, he was an SVP of Media Analytics for Ford Motor Company. Baylen received his B.S. in computer science from the University of Michigan and an MBA from the University of Michigan Ross School of Business.

Speaker#2: Matt Schaefer, Chief Growth Officer of Ready Signal Matt is an accomplished SaaS technology executive with a seasoned background in Data Analytics, Artificial Intelligence and Machine Learning at hyper-growth technology companies. During his evolving roles, he has built transformative value in the mid-market and Fortune 1000 space, operationalizing data into industry vertical solutions and helped scale organizations from start-up to successful IPO. At Ready Signal, he is responsible for leading the strategic growth efforts for the disruptive technology company that streamlines the integration of data from external factors to drive real-time, contextual decisions and forecasting solutions for any organization.

Abstract: A well-structured plan for using external or “alternative” data in your data science and analytics practice can be a competitive advantage. The problem is the external data ecosystem is fragmented and expanding rapidly. Thousands of data outlets that are not normalized or easy to procure makes the data wrangling task even more challenging, but not insurmountable.

Join this interactive session with experts from Ready Signal as they explore strategies to mature your data integration and decision intelligence processes. Session takeaways include: - Evolving your data strategy: The Importance of Alternative Data - Overcoming challenges in building quality alternative data sources into analytics workflows and predictive models. - Real-world use cases in scaling external data sources to optimize cost and maximize business value

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01Qnvfb0 • Code of conduct: https://odsc.com/code-of-conduct/

Summary Data engineering is a difficult job, requiring a large number of skills that often don’t overlap. Any effort to understand how to start a career in the role has required stitching together information from a multitude of resources that might not all agree with each other. In order to provide a single reference for anyone tasked with data engineering responsibilities Joe Reis and Matt Housley took it upon themselves to write the book "Fundamentals of Data Engineering". In this episode they share their experiences researching and distilling the lessons that will be useful to data engineers now and into the future, without being tied to any specific technologies that may fade from fashion.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Go to dataengineeringpodcast.com/linode today and get a $100 credit to launch a database, create a Kubernetes cluster, or take advantage of all of their other services. And don’t forget to thank them for their continued support of this show! Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. Prefect is the modern Dataflow Automation platform for the modern data stack, empowering data practitioners to build, run and monitor robust pipelines at scale. Guided by the principle that the orchestrator shouldn’t get in your way, Prefect is the only tool of its kind to offer the flexibility to write code as workflows. Prefect specializes in glueing together the disparate pieces of a pipeline, and integrating with modern distributed compute libraries to bring power where you need it, when you need it. Trusted by thousands of organizations and supported by over 20,000 community members, Prefect powers over 100MM business critical tasks a month. For more information on Prefect, visit dataengineeringpodcast.com/prefect today. Your host is Tobias Macey and today I’m interviewing Joe Reis and Matt Housley about their new book on the Fundamentals of Data Engineering

Interview

Introduction How did you get involved in the area of data management? Can you explain what possessed you to write such an ambitious book? What are your goals with this book? What was your process for determining what subject areas to include in the book?

How did you determine what level of granularity/detail to use for each subject area?

Closely linked to what subjects are necessary to be effective as a data engineer is the concept of what that title encompasses. How have the definitions shifted over the past few decades?

In your experiences working in industry and researching for the book, what is the prevailing view on what data engineers do? In the book you focus on what you term the "data lifecycle engineer". What are the skills and background that are needed to be successful in that role?

Any discussion of technological concepts and how to build systems tends to drift toward specific tools. How did you balance the need to be agnostic to speci

2016 is almost in the books! In just over a week, we'll be ringing in the new year, and we have it on Very Good Authority that 2017 will be the Year of Mobile. But, this episode is as much about looking back as it is about looking forward -- looking back on how our industry has evolved, what product launches piqued our interest the most, and what Snoop Dogg-related stunt marketing occurred during the year. We even do a little navel gazing about the podcast itself: our favorite topics and guests (although we love ALL the topics and guests!), and a bit of news about what will be happening with the podcast in 2017. So kick back, bust open a few roasted chestnuts, spike your eggnog generously, and give it a listen! Technologies, services, and random items mentioned in this episode include: more past episodes than are worth linking to, RSiteCatalyst, Hidden Brain podcast: Can Social Science Help You Quit Smoking for Good?, SUPERWEEK, Matt Gershoff, Caleb Whitmore, Adobe Summit, eMetrics, MeasureCamp, Un-Summit, Digital Analytics Hub, Gary Angel / Digital Mortar, Paco Underhill / Why We Buy: The Science of Shopping, Jan Exner, Justin Cutroni, Kevin Hillstrom, Measure Slack, Lee Isensee, Tableau, Domo, the Domo stunt at the Tableau Conference, John Scalzi, Joe Haldeman, and Philip K. Dick.