June 2017
Beginner to intermediate
470 pages
19h 50m
English
book
Software Architecture for Big Data and the Cloud
by Ivan Mistrik, Rami Bahsoon, Nour Ali, Maritta Heisel, Bruce Maxim
Content preview from Software Architecture for Big Data and the Cloud
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Foreword by Mandy Chessell
Amnesia or Progress?
Over the last few years, big data processing techniques and practices have matured. We no longer hear claims that the sheer volume of “big data” renders old fashioned, complex and time-consuming practices, such as data quality management, obsolete. In fact, many practices that were developed for data warehousing are being introduced into big data projects. There is a rise in the demand for data modelers, and technologies such as SQL and ETL engines are being ported and enhanced to execute on big data platforms.
So what have we gained in this movement to big data? Was it just a case of collective industry amnesia as we cast aside the years of ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.