Data s přehledem : naučte se pracovat s daty a zajistěte si skvělou kariéru

Data for all
Autor: Thompson, John K.
Vydáno: (2023)

Communicating with data : making your case with data
Autor: Allchin, Carl
Vydáno: (2021)

Learning Microsoft Power BI : transforming data into insights
Autor: Arnold, Jeremey
Vydáno: (2022)

Make your data speak : creating actionable data through Excel for non-technical professionals
Autor: Kolokolov, Alex
Vydáno: (2023)

Learning Spark : lightning-fast data analytics
Autor: Damji, Jules S.
Vydáno: (2020)

Big data analytics : from strategic planning to enterprise integration with tools, techniques, NoSQL, and graph
Autor: Loshin, David, 1963-
Vydáno: (2013)

Data science & big data analytics : discovering, analyzing, visualizing and presenting data
Vydáno: (2015)

Pro Apache Hadoop
Autor: Wadkar, Sameer
Vydáno: (2014)

Big data : a primer
Vydáno: (2015)

Data architecture : a primer for the data scientist : big data, data warehouse and data vault
Autor: Inmon, William H., 1945-
Vydáno: (2015)

Data mesh in action
Autor: Majchrzak, Jacek
Vydáno: (2023)

High performance Spark : best practices for scaling and optimizing Apache Spark
Autor: Karau, Holden
Vydáno: (2017)

Mastering Tableau 2021 : implement advanced business intelligence techniques and analytics with Tableau
Autor: Meier, Marleen
Vydáno: (2021)

Data fabric and data mesh approaches with AI : a guide to AI-based data cataloging, governance, integration, orchestration, and consumption
Autor: Hechler, Eberhard
Vydáno: (2023)

Big data optimization : recent developments and challenges
Vydáno: (2016)

The data science handbook
Autor: Cady, Field, 1984-
Vydáno: (2017)

Autographic design : the matter of data in a self-inscribing world
Autor: Offenhuber, Dietmar
Vydáno: (2024)

Big data for the greater good
Vydáno: (2019)

Basic Python for data Management, finance, and marketing : advance your career by learning the most powerful analytical tool
Autor: Yudin, Art
Vydáno: (2021)

Analytics in a big data world : the essential guide to data science and its applications
Autor: Baesens, Bart, 1975-
Vydáno: (2014)

Principles of big data : preparing, sharing, and analyzing complex information
Autor: Berman, Jules J., 1950-
Vydáno: (2013)

Analytics and big data for accountants
Autor: Lindell, James
Vydáno: (2017)

Getting started with Kudu : perform fast analytics on fast data
Autor: Spaggiari, Jean-Marc
Vydáno: (2018)

Application of big data and business analytics
Vydáno: (2021)

Data protection : ensuring data availability
Autor: De Guise, Preston
Vydáno: (2017)

Limitless analytics with Azure Synapse : an end-to-end analytics service for data processing, management, and ingestion for BI and ML requirements
Autor: Mishra, Prashant Kumar
Vydáno: (2021)

The enterprise data catalog : improve data discovery, ensure data governance, and enable innovation
Autor: Olesen-Bagneux, Ole
Vydáno: (2023)

Big data : principles and best practices of scalable real-time data systems
Autor: Marz, Nathan
Vydáno: (2015)

Deep learning in data analytics : recent techniques, practices and applications
Vydáno: (2022)

The enterprise big data framework : building critical capabilities to win in the data economy
Autor: Middelburg, Jan-Willem
Vydáno: (2024)

Big data in complex systems : challenges and opportunities
Vydáno: (2015)

Beginning Azure Synapse Analytics : transition from data warehouse to data lakehouse
Autor: Shiyal, Bhadresh
Vydáno: (2021)

Pig design patterns : simplify Hadoop programming to create complex end-to-end enterprise Big Data solutions with Pig
Autor: Pasupuleti, Pradeep
Vydáno: (2014)

Big data analytics : methods and applications
Vydáno: (2016)

Business data processing
Autor: Awad, Elias M. (Michael), 1934-
Vydáno: (1965)

Numsense! data science for the layman : no math added
Autor: Ng, Annalyn
Vydáno: (2017)