Project Management

SQL and MapReduce databases are great—when your data is well-partitioned and the same queries are run regularly. What happens when we don't know what we will want to know in the future? Graph databases are used in everything from Facebook to business intelligence apps. With nodes, edges, and properties to represent and store data, graph databases give us the opportunity to define the landscape as we learn more about our data. Using graph databases we can start at a location and ask for a description of where we are. This allows us to discover pathways and interesting data points that we might not otherwise have been aware of. Andy Palmer explains how you can discover the data landscape and bend it to your will with exploratory reports. Starting with the fundamentals of graph databases—using Neo4J as the tool—your skills with graph databases will increase through the day until you are able to explore and discover new gems of information for yourself.

Bring your laptop and try a big data tool.

On agile teams, testers can struggle to keep up with the pace of development if they continue employing a waterfall verification process―finding bugs after development. Nate Oster challenges you to question waterfall assumptions and replace a “test last” mentality with “specification by example.” Practice “test first” by writing executable specifications for a new feature before development begins. Learn to switch from tests as verification to tests as specification and guide development with concrete examples written in the language of your business. Start by joining a team for a humorous simulation of real-world issues and experience. Learn how specification by example helps build quality in instead of trying to test defects out. Progress to increasingly more realistic scenarios and practice the art of specifying intent with table-based and given-when-then formats. These paper-based simulations give you meaningful practice specifying concrete examples and will change the way you think about writing tests and collaborating as a team. This is not a tools session—no laptops required.

Robust configuration management (CM) practices are critical for creating continuous builds to support agile’s integration and testing demands, and for rapidly packaging, releasing, and deploying applications into production. Classic CM—identifying system components, controlling changes, reporting the system’s configuration, and auditing—won’t do the trick anymore. Bob Aiello presents an in-depth tour of a more robust and powerful approach to CM consisting of six key functions: source code management, build engineering, environment management, change management and control, release management, and deployment. Bob describes current and emerging CM trends—support for agile development, cloud computing, and mobile apps development—and reviews the industry standards and frameworks available in practice today. Take back an integrated approach to establish proper IT governance and compliance using the latest CM practices while offering development teams the most effective CM practices available today.

One of the latest facets of the mobile paradigm is mobile wearables―a new generation of personalized technology that knows us better than our closest friends do. How many of your friends know how far you walked or what you ate today? Although you may think mobile wearables are just for geeks, they will become commonplace very quickly. Our challenge is to develop applications that can synthesize context from the gigantic amount of data these devices and their sensors generate. Ensuring the privacy and security of device usage and its data will be of highest concern. Philip Lew systematically analyzes context―the most important element in future design and development of mobile applications while incorporating big data, privacy, and security. Using examples, Philip shows the contextual elements you need to consider now and discusses how to identify key factors for a future generation of wearable products based on discovering anticipatory services.

If you are new to agile methods—or trying to improve your estimation and planning skills—this session is for you. David Hussman brings years of experience coaching teams on how to employ XP, lean, Scrum, and kanban. He advises teams to obtain the estimating skills they need from these approaches rather than following a prescribed process. From start to finish, David focuses on learning from estimates as you learn to estimate. He covers skills and techniques from story point estimating delivered within iterations to planning without estimates by delivering a continuous flow of value. Going beyond the simple mechanics of estimation and planning, David explores agile techniques to enable continuous learning and ways to prevent sprint planning sessions from becoming empty rituals. Join David and your peers to practice your agile estimation and planning techniques so they can become powerful tools within your project.

DevOps is an emerging set of principles, methods, and practices that enable the rapid deployment of software systems. DevOps focuses on lowering barriers between development, testing, security, and operations in support of rapid iterative development and deployment. Many organizations struggle when implementing DevOps because of its inherent technical, process, and cultural challenges. Bob Aiello shares DevOps best practices starting with its role early in the application lifecycle and bridging the gap with testing, security, and operations. Bob explains how to implement DevOps using industry standards and frameworks such as ITIL v3 (IT Service Management) in both agile and non-agile environments, focusing on automated deployment frameworks that quickly deliver value to the business. DevOps includes server provisioning essential for cloud computing in what is becoming known as Infrastructure as Code. Bob equips you with practical and effective DevOps practices—automated application build, packaging, and deployment—essential for meeting today's business and technology demands.

 Transitioning to agile can be difficult—often downright wrenching—for teams, so many organizations are turning to kanban instead. Kanban, which involves just-in-time software delivery, offers a more gradual transition to agile and is adaptable to many company cultures and environments. With kanban, developers pull work from a queue—taking care not to exceed a threshold for simultaneous tasks—while making progress visible to all. Ken Pugh shares eight steps to adopt kanban in your team and organization. Ken begins with a value stream map of existing processes to establish an initial kanban board, providing transparency into the state of the current workflow. Another step establishes explicit policies to define workflow changes and engender project visibility. Because you can easily expand kanban to cover many parts of development, another step is to increase stakeholder involvement in the process. Join this interactive session to practice these key steps with hands-on exercises and take away an initial plan for implementing kanban in your organization.

For a project manager, successfully transitioning from traditional project management to a more agile approach can be difficult due to the staggering learning curve. Using a combination of case studies, exercises, and best practices identified in the PMBOK® Guide, Ken Whitaker gets you up to speed on the essential fundamentals you need to effectively facilitate and lead Scrum-based agile projects. Learn ways to avoid being yet another project failure statistic, how to make better tradeoffs using a simple technique based on a design hierarchy, and adopt innovative ways to better collaborate with product management to focus on what’s really important to the customer. To become an effective leader, discover how to size up and then help your team rise up in their hierarchy of needs while adapting your leadership style to effectively communicate with stakeholders. This workshop is designed to give you practical tools to help you lead and motivate your team to deliver projects on time, every time.

Agile initiatives always begin with the best of intentions—accelerate delivery, better meet customer needs, or improve software quality. Unfortunately, some agile projects do not deliver on these expectations. If you want help to ensure the success of your agile project or get an agile project back on track, this session is for you. Jeffery Payne discusses the most common causes of agile project failure and how you can avoid these issues—or mitigate their damaging effects. Poor project management, ineffective requirements development, failed communications, software development problems, and (non)agile testing can all contribute to project failure. Learn practical tips and techniques for identifying early warning signs that your agile project might be in trouble and how you can best get your project back on track. Gain the knowledge you need to guide your organization toward agile project implementations that serve the business and the stakeholders.

Data warehouses have become a popular mechanism for collecting, organizing, and making information readily available for strategic decision making. The ability to review historical trends and monitor near real-time operational data has become a key competitive advantage for many organizations. Yet the methods for assuring the quality of these valuable assets are quite different from those of transactional systems. Ensuring that the appropriate testing is performed is a major challenge for many enterprises. Geoff Horne has led a number of data warehouse testing projects in both the telecommunications and ERP sectors. Join Geoff as he shares his approaches and experiences, focusing on the key “uniques” of data warehouse testing including methods for assuring data completeness, monitoring data transformations, and measuring quality. He explores the opportunities for test automation as part of the data warehouse process, describing how you can harness automation to streamline and minimize overhead.