Filter
Datavetenskap
Filter
With more than 500 new apps entering the market every day, what does it take to build a successful digital product? You can greatly reduce your risk of failure with design sprints, …
What will you learn from this book? It’s no secret the world around you is becoming more connected, more configurable, more programmable, more computational. You can remain a …
Packed with practical advice, this hands-on guide provides valuable information you need to most effectively optimize and manage the XenServer open source virtualization platform. …
Some companies think that adopting devops means bringing in specialists or a host of new tools. With this practical guide, you'll learn why devops is a professional and cultural …
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on …
As you move data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure your organization meets …
There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With …
Most companies developing software employ something they call "Agile." But there's widespread misunderstanding of what Agile is and how to use it. If you want to improve your …
Customers who have inconsistent experiences with products and services are understandably frustrated. But it's worse for organizations that can't pinpoint the causes of these …
If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for …