Mining big data requires a deep investment in people and time. How can you be sure you’re building the right models? With this hands-on book, you’ll learn a flexible toolset and methodology for building effective analytics applications with Hadoop. Using lightweight tools such as Python, Apache Pig, and the D3.js library, your team will create an agile environment for exploring data, starting with an example application to mine your own email inboxes. You’ll learn an iterative approach that enables you to quickly change the kind of analysis you’re doing, depending on what the data is telling you. All example code in this book is available as working Heroku apps. Create analytics applications by using the agile big data development methodology Build value from your data in a series of agile sprints, using the data-value stack Gain insight by using several data structures to extract multiple features from a single dataset Visualize data with charts, and expose different aspects through interactive reports Use historical data to predict the future, and translate predictions into action Get feedback from users after each sprint to keep your project on track

This book constitutes extended, revised and selected papers from the 6th International Conference on Cloud Computing and Services Science, CLOSER 2016, held in Rome, Italy, in April 2016. The 16 papers presented in this volume were carefully reviewed and selected from a total of 123 submissions. The volume also contains two invited papers. CLOSER 2016 focused on the emerging area of cloud computing, inspired by recent advances related to infrastructures, operations, and service availability through global networks. It also studied the influence of service science in this area.

Platform-as-a-Service (PaaS) is gaining serious traction among web and mobile developers, but as new PaaS providers emerge and existing vendors upgrade their features, it’s hard to keep track of what PaaS has to offer. This thorough introduction takes you through the PaaS model from a developer’s point of view, and breaks down the types of services that Google App Engine, Windows Azure, Heroku, Cloud Foundry, and others deliver. Whether you’re an entrepreneur or part of a large enterprise development team, this book shows you how PaaS can help you focus on innovative applications, rather than spend your time worrying about technical operations. Track the cloud’s evolution from IaaS and DevOps to PaaS Learn how PaaS combines the simplicity of shared web hosting with the control of dedicated hosting Explore the benefits of both portable and non-portable PaaS options Apply best practices for moving legacy apps to PaaS—and understand the challenges involved Write new applications for PaaS from scratch with RESTful meta-services Use PaaS to build mobile apps with backend services that scale Examine the core services that each major provider currently offers Learn the situations in which PaaS might not be advantageous

Many companies move workloads to the cloud only to encounter issues with legacy processes and organizational structures. How do you design new operating models for this environment? This practical book shows IT managers, CIOs, and CTOs how to address the hardest part of any cloud transformation: the people and the processes. Author Mike Kavis (Architecting the Cloud) explores lessons learned from enterprises in the midst of cloud transformations. Youâ??ll learn how to rethink your approach from a technology, process, and organizational standpoint to realize the promise of cost optimization, agility, and innovation that public cloud platforms provide. Learn the difference between working in a data center and operating in the cloud Explore patterns and anti-patterns for organizing cloud operating models Get best practices for making the organizational change required for a move to the cloud Understand why site reliability engineering is essential for cloud operations Improve organizational performance through value stream mapping

Learn the key differences between containers and virtual machines. Adopting a project based approach, this book introduces you to a simple Python application to be developed and containerized with Docker. After an introduction to Containers and Docker you'll be guided through Docker installation and configuration. You'll also learn basic functions and commands used in Docker by running a simple container using Docker commands. The book then moves on to developing a Python based Messaging Bot using required libraries and virtual environment where you'll add Docker Volumes to your project, ensuring your container data is safe. You'll create a database container and link your project to it and finally, bring up the Bot-associated database all at once with Docker Compose. What You'll Learn Build, run, and distribute Docker containers Develop a Python App and containerize it Use Dockerfile to run the Python App Define and run multi-container applications with Docker Compose Work with persisting data generated by and used by Docker containers Who This Book Is For Intermediate developers/DevOps practitioners who are looking to improve their build and release workflow by containerizing applications

Docker containers offer simpler, faster, and more robust methods for developing, distributing, and running software than previously available. With this hands-on guide, you’ll learn why containers are so important, what you’ll gain by adopting Docker, and how to make it part of your development process. Ideal for developers, operations engineers, and system administrators—especially those keen to embrace a DevOps approach—Using Docker will take you from Docker and container basics to running dozens of containers on a multi-host system with networking and scheduling. The core of the book walks you through the steps needed to develop, test, and deploy a web application with Docker. Get started with Docker by building and deploying a simple web application Use Continuous Deployment techniques to push your application to production multiple times a day Learn various options and techniques for logging and monitoring multiple containers Examine networking and service discovery: how do containers find each other and how do you connect them? Orchestrate and cluster containers to address load-balancing, scaling, failover, and scheduling Secure your system by following the principles of defense-in-depth and least privilege

Get from Idea to Product/Market Fit in B2B. The world has changed. Nowadays, there are more companies building B2B products than there’s ever been. Products are entering organizations top-down, middle-out, and bottom-up. Teams and managers control their budgets. Buyers have become savvier and more impatient. The case for the value of new innovations no longer needs to be made. Technology products get hired, and fired faster than ever before. The challenges have moved from building and validating products to gaining adoption in increasingly crowded and fragmented markets. This, requires a new playbook. The second edition of Lean B2B is the result of years of research into B2B entrepreneurship. It builds off the unique Lean B2B Methodology, which has already helped thousands of entrepreneurs and innovators around the world build successful businesses. In this new edition, you’ll learn: - Why companies seek out new products, and why they agree to buy from unproven vendors like startups - How to find early adopters, establish your credibility, and convince business stakeholders to work with you - What type of opportunities can increase the likelihood of building a product that finds adoption in businesses - How to learn from stakeholders, identify a great opportunity, and create a compelling value proposition - How to get initial validation, create a minimum viable product, and iterate until you're able to find product/market fit This second edition of Lean B2B will show you how to build the products that businesses need, want, buy, and adopt.