talk-data.com

Data Mesh Learning (DML) is a global community of 8K+ data professionals at various stages of their data mesh journey. It is an independent, vendor-neutral space where people are encouraged to share knowledge and experiences to foster learning.

Agenda

In conjunction with the release of their new book, "Implementing Data Mesh", Eric Broda and Jean-Georges Perrin share their data mesh expertise with the Data Mesh Learning community in a series of rountable discussions moderated by John Miller, Data Strategy and Architect, Silicon Valley Data Solutions Group.

In each session, Eric and Jean-Georges will cover a different topic from their book. Attend all of the sessions and get the full picture.

***10:00 AM PT ***

Community Announcements Paul Au, Head of Community for Data Mesh Learning

***10:05 AM PT ***

Establishing a roadmap for data products, data contracts, and data mesh A practical roadmap for accelerating delivery of data products, data contracts, and data mesh (Lessons learned implementing data mesh at large enterprises)

• Eric Broda, President, Broda Group Software, Inc.
• Jean-Georges Perrin, Chief Innovation Officer, AbeaData
• John Miller, Data Strategy and Architect, Silicon Valley Data Solutions Group

Data Mesh Learning (DML) is a global community of 8K+ data professionals at various stages of their data mesh journey. It is an independent, vendor-neutral space where people are encouraged to share knowledge and experiences to foster learning.

Agenda

In conjunction with the release of their new book, "Implementing Data Mesh", Eric Broda and Jean-Georges Perrin share their data mesh expertise with the Data Mesh Learning community in a series of rountable discussions moderated by John Miller, Data Strategy and Architect, Silicon Valley Data Solutions Group.

In each session, Eric and Jean-Georges will cover a different topic from their book. Attend all of the sessions and get the full picture.

***10:00 AM PT ***

Community Announcements Paul Au, Head of Community for Data Mesh Learning

***10:05 AM PT ***

Radically Transforming Data Governance with Data Mesh Combining industry standard “certification” models with data mesh to make data governance agile

• Eric Broda, President, Broda Group Software, Inc.
• Jean-Georges Perrin, Chief Innovation Officer, AbeaData
• John Miller, Data Strategy and Architect, Silicon Valley Data Solutions Group

Data Mesh Learning (DML) is a global community of 8K+ data professionals at various stages of their data mesh journey. It is an independent, vendor-neutral space where people are encouraged to share knowledge and experiences to foster learning.

Agenda

In conjunction with the release of their new book, "Implementing Data Mesh", Eric Broda and Jean-Georges Perrin share their data mesh expertise with the Data Mesh Learning community in a series of rountable discussions moderated by John Miller, Data Strategy and Architect, Silicon Valley Data Solutions Group.

In each session, Eric and Jean-Georges will cover a different topic from their book. Attend all of the sessions and get the full picture.

***10:00 AM PT ***

Community Announcements Paul Au, Head of Community for Data Mesh Learning

***10:05 AM PT ***

Establishing a Data Mesh Operating Model An approach to building your data product team and operating model to deliver data products, contracts, and data mesh at-scale

• Eric Broda, President, Broda Group Software, Inc.
• Jean-Georges Perrin, Chief Innovation Officer, AbeaData
• John Miller, Data Strategy and Architect, Silicon Valley Data Solutions Group

Data Mesh Learning (DML) is a global community of 8K+ data professionals at various stages of their data mesh journey. It is an independent, vendor-neutral space where people are encouraged to share knowledge and experiences to foster learning.

Agenda

In conjunction with the release of their new book, "Implementing Data Mesh", Eric Broda and Jean-Georges Perrin share their data mesh expertise with the Data Mesh Learning community in a series of rountable discussions moderated by John Miller, Data Strategy and Architect, Silicon Valley Data Solutions Group.

In each session, Eric and Jean-Georges will cover a different topic from their book. Attend all of the sessions and get the full picture.

***10:00 AM PT ***

Community Announcements Paul Au, Head of Community for Data Mesh Learning

***10:05 AM PT ***

Implementing Data Mesh At-Scale An overview of the architecture components and delivery practices to build data marketplaces, data products, data contract, and data mesh at-scale

• Eric Broda, President, Broda Group Software, Inc.
• Jean-Georges Perrin, Chief Innovation Officer, AbeaData
• John Miller, Data Strategy and Architect, Silicon Valley Data Solutions Group

Data Mesh Learning (DML) is a global community of 8K+ data professionals at various stages of their data mesh journey. It is an independent, vendor-neutral space where people are encouraged to share knowledge and experiences to foster learning.

Agenda

In conjunction with the release of their new book, "Implementing Data Mesh", Eric Broda and Jean-Georges Perrin share their data mesh expertise with the Data Mesh Learning community in a series of rountable discussions moderated by John Miller, Data Strategy and Architect, Silicon Valley Data Solutions Group.

In each session, Eric and Jean-Georges will cover a different topic from their book. Attend all of the sessions and get the full picture.

In this session, the topic of conversation will be:

Data Mesh: Making Data Agile Using data products, data contracts, and data mesh to bring agile software practices to data

***10:00 AM PT ***

Community Announcements Paul Au, Head of Community for Data Mesh Learning

***10:05 AM PT ***

Roundtable Discussion

• Eric Broda, President, Broda Group Software, Inc.
• Jean-Georges Perrin, Chief Innovation Officer, AbeaData
• John Miller, Data Strategy and Architect, Silicon Valley Data Solutions Group

Building Statistical Models in Python is your go-to guide for mastering statistical modeling techniques using Python. By reading this book, you will explore how to use Python libraries like stats models and others to tackle tasks such as regression, classification, and time series analysis. What this Book will help me do Develop a deep practical knowledge of statistical concepts and their implementation in Python. Create regression and classification models to solve real-world problems. Gain expertise analyzing time series data and generating valuable forecasts. Learn to perform hypothesis verification to interpret data correctly. Understand survival analysis and apply it in various industry scenarios. Author(s) Huy Hoang Nguyen, Paul N Adams, and Stuart J Miller bring their extensive expertise in data science and Python programming to the table. With years of professional experience in both industry and academia, they aim to make statistical modeling approachable and applicable. Combining technical depth with hands-on coding, their goal is to ensure readers not only understand the theory but also gain confidence in its application. Who is it for? This book is tailored for beginners and intermediate programmers seeking to learn statistical modeling without a prerequisite in mathematics. It's ideal for data analysts, data scientists, and Python enthusiasts who want to leverage statistical models to gain insights from data. With this book, you will journey from the basics to advanced applications, making it perfect for those who aim to master statistical analysis.