Mahmood Qureshi / Sharif Snowflake Cookbook

Techniques for building modern cloud data warehousing solutions
1. Auflage 2021
ISBN: 978-1-80056-018-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 330 Seiten

No detailed description available for "Snowflake Cookbook".

Autoren/Hrsg.

Mahmood Qureshi, Hamid

Sharif, Hammad

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Groupware
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur

Inhaltsverzeichnis

Table of Contents - Getting Started with Snowflake
- Managing the Data Life Cycle
- Loading and Extracting Data into and out of Snowflake
- Building Data Pipelines in Snowflake
- Data Protection and Security in Snowflake
- Performance and Cost Optimization
- Secure Data Sharing
- Back to the Future with Time Travel
- Advanced SQL Techniques
- Extending Snowflake's Capabilities

Über Autor(innen)

Mahmood Qureshi Hamid:
Hamid Qureshi is a senior cloud and data warehouse professional with almost two decades of total experience, having architected, designed, and led the implementation of several data warehouse and business intelligence solutions. He has extensive experience and certifications across various data analytics platforms, ranging from Teradata, Oracle, and Hadoop to modern, cloud-based tools such as Snowflake. Having worked extensively with traditional technologies, combined with his knowledge of modern platforms, he has accumulated substantial practical expertise in data warehousing and analytics in Snowflake, which he has subsequently captured in his publications.Sharif Hammad:
Hammad Sharif is an experienced data architect with more than a decade of experience in the information domain, covering governance, warehousing, data lakes, streaming data, and machine learning. He has worked with a leading data warehouse vendor for a decade as part of a professional services organization, advising customers in telco, retail, life sciences, and financial industries located in Asia, Europe, and Australia during presales and post-sales implementation cycles. Hammad holds an MSc. in computer science and has published conference papers in the domains of machine learning, sensor networks, software engineering, and remote sensing.