Các sản phẩm được gắn thẻ 'computers'

Aimed at helping business and IT managers clearly communicate with each other, this helpful book addresses concerns straight-on and provides practical methods to building a collaborative data warehouse

In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming.

Cloud computing is changing the way IT is delivered in enterprises around the world. The world’s leading open source cloud computing platform, Cloudstack, helps you implement a cloud computing service in your enterprise or set up an infrastructure as a service (IaaS) offering for your customers. With "Apache Cloudstack Cloud Computing", learn the leading open source cloud computing platform in an easy step-by-step approach, from understanding the basics of setting up an infrastructure as a service cloud to actual deployment scenarios and extensibility features of CloudStack.

An expert guide to selecting the right cloud service model for your business Cloud computing is all the rage, allowing for the delivery of computing and storage capacity to a diverse community of end-recipients. However, before you can decide on a cloud model, you need to determine what the ideal cloud service model is for your business. Helping you cut through all the haze, Architecting the Cloud is vendor neutral and guides you in making one of the most critical technology decisions that you will face: selecting the right cloud service model(s) based on a combination of both business and technology requirements.

Analyze company data quickly and easily using Microsoft’s powerful data tools. Learn to build scalable and robust data models, clean and combine different data sources effectively, and create compelling and professional visuals.

If you're an R developer looking to harness the power of big data analytics with Hadoop, then this book tells you everything you need to integrate the two. You'll end up capable of building a data analytics engine with huge potential. Overview * Write Hadoop MapReduce within R * Learn data analytics with R and the Hadoop platform * Handle HDFS data within R * Understand Hadoop streaming with R * Encode and enrich datasets into R