September 2019
Beginner to intermediate
332 pages
7h 35m
English
Content preview from Practical Data Science with SAP
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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.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.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.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.
Preface
The future of data science and artificial intelligence has never looked brighter. AI now beats humans at games ranging from twitchy, reflexive Pong to deep, contemplative Go. Deep learning models recognize objects nearly as well as humans. Some even say self-driving cars perform better than their distracted human counterparts. The past decade’s massive gains in data volume, storage capacity, and computing power have enabled rapid advances in data science.
And of course technology has spread into every facet of your business (from finance and sales to production and logistics). However, is each part of your business turbocharged by data science and AI? Likely not. As wonderful as they might be, if you are not designing a self-driving car or predicting customer behavior, you are probably not using these technologies.
Many organizations may have access to business data from an enterprise resource planning (ERP) system such as SAP, and yours is likely no different. Data coming from a business system such as SAP is largely perfect as often validations and checks are in place before it is allowed to save to the database (and, one of the most essential and least rewarding tasks of a data scientist is cleaning the data). This means ERP data in SAP is ripe for the picking, and data science is here to do the harvesting!
Let’s take a hypothetical scenario. The SAP Team at Big Bonanza Warehouse is in a constant state of process improvement. They know how to configure their SAP system ...
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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.