Rate this book
What to read after Data Architecture: A Primer for the Data Scientist?
Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Data Architecture: A Primer for the Data Scientist" by Daniel Linstedt! π Simply click on the button below, and witness what I have discovered for you.
Data Architecture: A Primer for the Data Scientist
A Primer for the Data Scientist
Daniel Linstedt , Mary Levins , W.H. Inmon
Computers / Business & Productivity Software / Business Intelligence
Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things.
Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data. Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential. Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together.
- New case studies include expanded coverage of textual management and analytics
- New chapters on visualization and big data
- Discussion of new visualizations of the end-state architecture
Are you curious to discover the likelihood of your enjoyment of "Data Architecture: A Primer for the Data Scientist" by Daniel Linstedt? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.