Description
Each chapter addresses a piece of the software development life cycle and identifies patterns to maximize long-term success throughout the life of your project. Start the planning process by considering the key data project types. Use guidelines to evaluate and select data management solutions. Reduce risk related to technology, your team, and vague requirements. Explore system interface design using APIs, REST, and pub/sub systems. Choose the right distributed storage system for your big data system. Plan and implement metadata collections for your data architecture. Use data pipelines to ensure data integrity from source to final storage. Evaluate the attributes of various engines for processing the data you collect.
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Details
Are you ready to take your big data projects to the next level? Look no further than Foundations for Architecting Data Solutions: Managing Successful Data Projects. This comprehensive book by Ted Malaska and Jonathan Seidman provides you with all the knowledge and guidance you need to start, architect, and develop successful big data projects. Whether you're a CIO, COO, lead architect, or developer, this book will help you navigate through the complexities of big data development and ensure long-term success for your projects.
Unlike other books that focus solely on implementation details, this book takes a wider view of big data development. It starts with the initial planning phase and guides you all the way to execution, addressing key components and patterns necessary for success. From evaluating and selecting data management solutions to designing system interfaces using APIs, REST, and pub/sub systems, you'll learn everything you need to know to excel in big data architecture.
One of the strengths of this book is its coverage of various big data architectures and applications. Whether you're dealing with massive data pipelines or web-scale applications, you'll find valuable insights and practical advice to overcome any challenges you may face. With the authors' expertise and real-world examples, you'll be able to reduce risks, make informed decisions, and ensure data integrity from source to final storage.
Dive into the world of big data with Foundations for Architecting Data Solutions: Managing Successful Data Projects. Equip yourself with the tools and knowledge needed to navigate the software development life cycle and maximize the potential of your big data projects. Take the first step towards success by reading this book today.
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