Malik / Goldwasser / Johnston SQL for Data Analytics

Perform fast and efficient data analysis with the power of SQL
1. Auflage 2019
ISBN: 978-1-78980-384-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 386 Seiten

No detailed description available for "SQL for Data Analytics".

Autoren/Hrsg.

Malik, Upom

Goldwasser, Matt

Johnston, Benjamin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Table of Contents - Understanding and Describing Data
- The Basics of SQL for Analytics
- SQL for Data Preparation
- Aggregate Functions for Data Analysis
- Window Functions for Data Analysis
- Importing and Exporting Data
- Analytics Using Complex Data Types
- Performant SQL
- Using SQL to Uncover the Truth - A Case Study

Über Autor(innen)

Malik Upom:

Upom Malik is a data science and analytics leader who has worked in the technology industry for over 8 years. He has a master's degree in chemical engineering from Cornell University and a bachelor's degree in biochemistry from Duke University. As a data scientist, Upom has overseen efforts across machine learning, experimentation, and analytics at various companies across the United States. He uses SQL and other tools to solve interesting challenges in finance, energy, and consumer technology. Outside of work, he likes to read, hike the trails of the Northeastern United States, and savor ramen bowls from around the world.Goldwasser Matt:

Matt Goldwasser is the Head of Applied Data Science at the T. Rowe Price NYC Technology Development Center. Prior to his current role, Matt was a data science manager at OnDeck, and prior to that, he was an analyst at Millennium Management. Matt holds a bachelor of science in mechanical and aerospace engineering from Cornell University.Johnston Benjamin:

Benjamin Johnston is a senior data scientist for one of the world's leading data-driven MedTech companies and is involved in the development of innovative digital solutions throughout the entire product development pathway, from problem definition to solution research and development, through to final deployment. He is currently completing his Ph.D. in machine learning, specializing in image processing and deep convolutional neural networks. He has more than 10 years of experience in medical device design and development, working in a variety of technical roles, and holds first-class honors bachelor's degrees in both engineering and medical science from the University of Sydney, Australia.