Rivera / Prokaieva / Baker Databricks ML in Action

Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
1. Auflage 2024
ISBN: 978-1-80056-400-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 280 Seiten

No detailed description available for "Databricks ML in Action".

Autoren/Hrsg.

Rivera, Stephanie

Prokaieva, Anastasia

Baker, Amanda

Horn, Hayley

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie

Inhaltsverzeichnis

Table of Contents - Getting Started with This Book and Lakehouse Concepts
- Designing Databricks: Day One
- Building Out Our Bronze Layer
- Getting to Know Your Data
- Feature Engineering on Databricks
- Searching for a Signal
- Productionizing ML on Databricks
- Monitoring, Evaluating, and More

Über Autor(innen)

Rivera Stephanie:
Stephanie Rivera has worked in big data and machine learning for 12 years. She collaborates with teams and companies as they design their Lakehouse as a Sr. Solutions Architect for Databricks. Previously Stephanie was the VP, Data Intelligence for a global company, taking in 20+ terabytes of data daily. She led the data science, data engineering, and business intelligence teams.Prokaieva Anastasia:
Anastasia Prokaieva began her career 9 years ago as a research scientist at CEA (France), focusing on large data analysis and satellite data assimilation, treating terabytes of data. She has been working within the big data analysis and machine learning domain since then. In 2021, she joined Databricks and became the regional AI subject matter expert. On a daily basis, Anastasia consults Databricks users on best practices for implementing AI projects end-to-end. She also delivers training and workshops to democratize AI. Anastasia holds two MSc degrees in theoretical physics and energy science.Baker Amanda:
Mandy Baker began her career in data 8 years ago. She loves leveraging her skills as a data scientist to orchestrate transformative journeys for companies across diverse industries as a Solutions Architect for Databricks. Her experiences have brought her from large corporations to small startups and everything in between. Mandy is a graduate of Carnegie Mellon University and the University of Washington.Horn Hayley:
Hayley Horn started her data career 15 years ago as a data quality consultant on enterprise data integration projects. As a data scientist, she specialized in customer insights and strategy, and presented at Data Science and AI conferences in the US and Europe. She is currently a Sr. Solutions Architect for Databricks, with expertise in data science and technology modernization. A graduate of the MS Data Science program at Southern Methodist University in Dallas, Texas, USA, she is now a capstone advisor to students in their final semesters of the program.