Computer Architecture

Technology has gradually transitioned from wired to wireless over the years with tons of benefits. From the internet of things to wireless communication, we are all witnesses of the huge benefits of wireless technologies. This audiobook covers various subjects and highlights both the benefits and challenges of wireless technologies.

We are living in a new urban age and its most tangible expression is the "supertall": megastructures that are dramatically bigger, higher, and more ambitious than any in history. In Supertall, TED Resident Stefan Al—himself an experienced architect who has worked on some of the largest buildings in the world—reveals the advancements in engineering, design, and data science that have led to this worldwide boom.

Cloud computing has transformed the way we think about technology infrastructure and application deployment. The benefits of cloud computing, such as scalability, cost savings, and flexibility, have made it a popular choice for organizations of all sizes. This book aims to provide an in-depth understanding of cloud computing architecture, covering the core concepts, principles, and best practices. It will help you gain a comprehensive understanding of cloud computing, from the basics of virtualization to advanced topics such as cloud-native architecture, AI, and edge computing.

Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes.

Data Lake Architecture will explain how to build a useful data lake where data scientists and data analysts can solve business challenges and identify new business opportunities. Learn how to structure data lakes as well as analog, application, and text-based data ponds to provide maximum business value. Understand the role of the raw data pond and when to use an archival data pond. Leverage the four key ingredients for data lake success: metadata, integration mapping, context, and metaprocess.