QR kód

Data Professionals at Work

Enjoy reading interviews with more than two dozen data professionals to see a picture of what it's like to work in the industry managing and analyzing data, helping you to know what it takes to move from your current expertise into one of the fastest growing areas of technology today. Data is t...

Uloženo v:

Podrobná bibliografie
Hlavní autor:	Mahadevan, Malathi (Autor)
Médium:	Elektronický zdroj E-kniha
Jazyk:	angličtina
Vydáno:	Berkeley, CA : Apress, 2018.
Vydání:	1st ed. 2018.
Témata:	Database management. Big data. Engineering-Vocational guidance.
ISBN:	9781484239674
On-line přístup:
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Podobné jednotky

Data Science Landscape Towards Research Standards and Protocols /
Vydáno: (2018)

Expert Apache Cassandra Administration
Autor: Alapati, Sam R.
Vydáno: (2018)

Innovation for Engineers Developing Creative and Entrepreneurial Success /
Autor: Mehregany, Mehran
Vydáno: (2018)

Complete Guide to Open Source Big Data Stack
Autor: Frampton, Michael
Vydáno: (2018)

Data Mining /
Autor: Cleve, Jürgen, a další
Vydáno: (2020)

Organizational Behaviour and Human Resource Management A Guide to a Specialized MBA Course /
Vydáno: (2018)

Project Managers at Work
Autor: Harpham, Bruce
Vydáno: (2018)

Practical Web Scraping for Data Science Best Practices and Examples with Python /
Autor: vanden Broucke, Seppe
Vydáno: (2018)

Beginning Blockchain A Beginner's Guide to Building Blockchain Solutions /
Autor: Singhal, Bikramaditya
Vydáno: (2018)

Teaching the Entrepreneurial Mindset to Engineers
Autor: Bosman, Lisa
Vydáno: (2018)

A First Course in Engineering Drawing
Autor: Rathnam, K.
Vydáno: (2018)

Contributions to Higher Engineering Education
Vydáno: (2018)

Women in Security Changing the Face of Technology and Innovation /
Vydáno: (2018)

Supporting University Ventures in Nanotechnology, Biomaterials and Magnetic Sensing Applications Policies, Practices, and Future /
Vydáno: (2018)

Oracle Incident Response and Forensics Preparing for and Responding to Data Breaches /
Autor: Finnigan, Pete
Vydáno: (2018)

From Bench to Boardroom The R&D Leader's Guide /
Autor: Spiro, Clifford L.
Vydáno: (2018)

Optimizing Data-to-Learning-to-Action The Modern Approach to Continuous Performance Improvement for Businesses /
Autor: Flinn, Steven
Vydáno: (2018)

The Tech Professional's Guide to Communicating in a Global Workplace Adapting Across Cultural and Gender Boundaries /
Autor: Wells, April
Vydáno: (2018)

Mom the Chemistry Professor Personal Accounts and Advice from Chemistry Professors who are Mothers /
Vydáno: (2018)

Next-Generation Big Data A Practical Guide to Apache Kudu, Impala, and Spark /
Autor: Quinto, Butch
Vydáno: (2018)

SQL Server Advanced Data Types JSON, XML, and Beyond /
Autor: Carter, Peter A.
Vydáno: (2018)

Dark Data : Why What You Don't Know Matters /
Autor: Hand, David J.
Vydáno: (2020)

Research handbook on big data law /
Vydáno: (2021)

Statistical Analysis of Microbiome Data with R
Autor: Xia, Yinglin
Vydáno: (2018)

Advances in Big Data and Cloud Computing
Vydáno: (2018)

Analytics and Data Science Advances in Research and Pedagogy /
Vydáno: (2018)

Computer data management and data base technology /
Autor: Katzan, Harry jr
Vydáno: (1975)

Classification, (Big) Data Analysis and Statistical Learning
Vydáno: (2018)

AI and big data : disruptive regulation /
Autor: Findlay, Mark, a další
Vydáno: (2023)

UX Optimization Combining Behavioral UX and Usability Testing Data to Optimize Websites /
Autor: Tomlin, W. Craig
Vydáno: (2018)

Data Driven An Introduction to Management Consulting in the 21st Century /
Autor: Curuksu, Jeremy David
Vydáno: (2018)

Multifractal Detrended Analysis Method and Its Application in Financial Markets
Autor: Cao, Guangxi
Vydáno: (2018)

Practical Enterprise Data Lake Insights Handle Data-Driven Challenges in an Enterprise Big Data Lake /
Autor: Gupta, Saurabh
Vydáno: (2018)

Beginning Backup and Restore for SQL Server Data Loss Management and Prevention Techniques /
Autor: Beard, Bradley
Vydáno: (2018)

Veracity of Big Data Machine Learning and Other Approaches to Verifying Truthfulness /
Autor: Pendyala, Vishnu
Vydáno: (2018)

Practical Data Science A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets /
Autor: Vermeulen, Andreas François
Vydáno: (2018)

Commercialization secrets for scientists and engineers /
Autor: Szycher, Michael
Vydáno: (2017)

Measuring the Data Universe Data Integration Using Statistical Data and Metadata Exchange /
Autor: Stahl, Reinhold
Vydáno: (2018)

Advances in Machine Learning and Data Science Recent Achievements and Research Directives /
Vydáno: (2018)

Ecological Informatics Data Management and Knowledge Discovery /
Vydáno: (2018)