Learn IT - Books tags cluster

Books tags: cluster

Hands-on DevOps: Explore the concept of continuous delivery and integrate it with data science concepts

Packt Publishing, 2017

Transform yourself into a specialist in DevOps adoption for Big Data on cloud

Key Features

Learn the concepts of Bigdata and Devops and Implement them

Get Acquainted with DevOps Frameworks Methodologies and Tools

A practical approach to build and work efficiently with your...

Massively Parallel Evolutionary Computation on GPGPUs (Natural Computing Series)

Springer, 2013

Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have...

Docker Cookbook: Solutions and Examples for Building Distributed Applications

O'Reilly, 2015

Whether you’re deploying applications on premise or in the cloud, this cookbook provides developers, operators, and IT professionals with more than 130 proven recipes for working with Docker.

With these practical solutions, experienced developers with no previous knowledge of Docker will be able to package and...

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...

Hadoop Real World Solutions Cookbook

Packt Publishing, 2013

Ever felt you could use some no-nonsense, practical help when developing applications with Hadoop? Well, you've just found it. This real-world solutions cookbook is packed with handy recipes you can apply to your own everyday issues.

Overview

Solutions to common problems when working in the Hadoop...

Pro Apache Hadoop

Apress, 2014

Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop – the framework of big data. Revised to cover Hadoop 2.0, the book covers the very latest developments such as YARN (aka MapReduce 2.0), new HDFS high-availability features, and increased scalability in the form of HDFS Federations. All the old content has been...

Spark for Python Developers

Packt Publishing, 2015

Key Features

Set up real-time streaming and batch data intensive infrastructure using Spark and Python
Deliver insightful visualizations in a web app using Spark (PySpark)
Inject live data using Spark Streaming with real-time events

Book Description

Looking...

Learning Cloudera Impala

Packt Publishing, 2013

Perform interactive, real-time in-memory analytics on large amounts of data using the massive parallel processing engine Cloudera Impala

Overview

Step-by-step guidance to get you started with Impala on your Hadoop cluster

Manipulate your data rapidly by writing proper SQL statements

...

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Packt Publishing, 2018

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

Discover high-performing machine learning algorithms and understand how they work in depth

One-stop solution to mastering supervised, unsupervised, and...

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...

Numerical Solution of Partial Differential Equations on Parallel Computers

Springer, 2006

Since the dawn of computing, the quest for a better understanding of Nature has been a driving force for technological development. Groundbreaking achievements by great scientists have paved the way from the abacus to the supercomputing power of today. When trying to replicate Nature in the computer’s silicon test tube, there is need...

Parallel Programming: for Multicore and Cluster Systems

Springer, 2010

Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be...

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