Houghton Data Engineering with Alteryx

Helping data engineers apply DataOps practices with Alteryx
1. Auflage 2022
ISBN: 978-1-80323-198-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 366 Seiten

No detailed description available for "Data Engineering with Alteryx".

Autoren/Hrsg.

Houghton, Paul

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung

Inhaltsverzeichnis

Table of Contents - Getting Started with Alteryx
- Data Engineering with Alteryx
- DataOps and Its Benefits
- Sourcing the Data
- Data Processing and Transformations
- Destination Management
- Extracting Value
- Beginning Advanced Analytics
- Testing Workflows and Outputs
- Monitoring DataOps and Managing Changes
- Securing and Managing Access
- Making Data Easy to Use and Discoverable with Alteryx
- Conclusion

Über Autor(innen)

Houghton Paul:
Paul Houghton is an experienced business analyst with the ability to make focused data-led decisions. He is able to utilize data from a multitude of sources, including structured company data alongside unstructured data, such as social media sites. Paul's ability to combine data from structured business sources with open and unstructured data and analyze a range of datasets enables him to make fast, accurate, and relevant business decisions.