Learn IT - Books tags hadoop

Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Packt Publishing, 2019

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

Get a hands-on, fast-paced introduction to the Python data science stack

Explore ways to create useful metrics and statistics from...

Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

Packt Publishing, 2018

Get command of your organizational Big Data using the power of data science and analytics

Key Features

A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions

Work with the best tools such as Apache...

Google Cloud Platform for Architects: Design and manage powerful cloud solutions

Packt Publishing, 2018

Get started with GCP and manage robust, highly available, and dynamic solutions to drive business objectives

Key Features

Identify the strengths, weaknesses and ideal use cases for individual services offered on the Google Cloud Platform (GCP)

Make intelligent choices...

Data Science For Dummies

For Dummies, 2015

Discover how data science can help you gain in-depth insight into your business – the easy way!

Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles in organizations. Data Science For Dummies is the perfect starting point for IT professionals...

Pro PowerShell for Microsoft Azure

Apress, 2015

This book is written for Windows professionals who are familiar with PowerShell and want to learn to build, operate, and administer their Windows workloads in the Microsoft cloud. Pro PowerShell for Microsoft Azure is packed with practical examples and scripts, with easy-to-follow explanations for a wide range of day-to-day...

Beginning Big Data with Power BI and Excel 2013: Big Data Processing and Analysis Using PowerBI in Excel 2013

Apress, 2015

In Beginning Big Data with Power BI and Excel 2013, you will learn to solve business problems by tapping the power of Microsoft’s Excel and Power BI to import data from NoSQL and SQL databases and other sources, create relational data models, and analyze business problems through sophisticated dashboards and data-driven...

Pro Docker

Apress, 2015

In this fast-paced book on the Docker open standards platform for developing, packaging and running portable distributed applications, Deepak Vorha

discusses how to build, ship and run applications on any platform such as a PC, the cloud, data center or a virtual machine. He describes how to install and...

Practical Machine Learning

Packt Publishing, 2016

About This Book

Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark

Comprehensive practical solutions taking you into the future of machine learning

Go a step further and integrate your machine learning projects with...

Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library

Apress, 2018

Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it.

...

Kubernetes Microservices with Docker

Apress, 2016

Start using Kubernetes in complex big data and enterprise applications, including Docker containers. Starting with installing Kubernetes on a single node, the book introduces Kubernetes with a simple Hello example and discusses using environment variables in Kubernetes.

Next, Kubernetes Microservices with...

Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset

Apress, 2014

Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.

As Big Data Made Easy: A Working...

Data Warehousing in the Age of Big Data (The Morgan Kaufmann Series on Business Intelligence)

Morgan Kaufmann, 2013

Web 2.0 has changed the way we conduct business, interact with customers, share information with friends and family, measure success in terms of business revenue and customer wallet share, and define brand management, and, most importantly, it has created a revenue channel like none other. Whether you plan your vacation, buy the newest...

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