Chavez / Moncada Business Intelligence Career Master Plan

Launch and advance your BI career with proven techniques and actionable insights
1. Auflage 2023
ISBN: 978-1-80107-969-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 284 Seiten

No detailed description available for "Business Intelligence Career Master Plan".

Autoren/Hrsg.

Chavez, Eduardo

Moncada, Danny

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - How to enter the BI world
- How to become proficient analyzing data
- How to talk data
- How to crack interviews
- Business Intelligence Landscape
- Becoming Data Proficient or Subject Matter Expert
- Business Intelligence Education
- Beyond Business Intelligence
- Data Wrangling & Data Visualization Hands On

Über Autor(innen)

Chavez Eduardo:

Eduardo Chavez, a Google Professional with over 18 years of industry experience, hails from Mazatlan, Mexico. He holds multiple Data certifications from Oracle, Microsoft, Google, and AWS since 2010. With a Bachelor's degree in Information Systems and three Master's degrees, including IT, Business Administration, and Business Analytics, Eduardo specializes in SQL, Semantic Layers, and Data Modeling. He has worked for prominent private companies like Accenture, Oracle, and Google, as well as the University of Minnesota in the Public Sector. Eduardo is known for advocating the rapid development cycle, emphasizing Late Binding Data Warehousing, Rapid Prototyping, and a Top-Down approach.Moncada Danny:

Danny Moncada is a seasoned IT professional with 15 years of experience, excelling in project implementations related to database administration, data analysis, and data engineering. He has contributed his expertise to renowned companies like Cigna Healthcare, Indeed, IOTAS, as well as the University of Minnesota in the non-profit sector. In 2020, Danny completed his M.S. in Business Analytics from the Carlson School of Management, where he was recognized as the most helpful student by his peers. He has achieved various certifications, including Python Programming from NYU, Google Cloud Platform, and IBM Data Engineering paths from Coursera. Danny's specialties lie in data visualization, analysis, and data warehousing.