| Author | : United States. Congress. House. Committee on Science and Technology (2007). Subcommittee on Energy and Environment |
| Publisher | : |
| Total Pages | : 136 |
| Release | : 2008 |
| Genre | : Business & Economics |
| ISBN | : |
Storm Applied
| Author | : Matthew Jankowski |
| Publisher | : Simon and Schuster |
| Total Pages | : 408 |
| Release | : 2015-03-30 |
| Genre | : Computers |
| ISBN | : 163835118X |
Summary Storm Applied is a practical guide to using Apache Storm for the real-world tasks associated with processing and analyzing real-time data streams. This immediately useful book starts by building a solid foundation of Storm essentials so that you learn how to think about designing Storm solutions the right way from day one. But it quickly dives into real-world case studies that will bring the novice up to speed with productionizing Storm. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. Summary Storm Applied is a practical guide to using Apache Storm for the real-world tasks associated with processing and analyzing real-time data streams. This immediately useful book starts by building a solid foundation of Storm essentials so that you learn how to think about designing Storm solutions the right way from day one. But it quickly dives into real-world case studies that will bring the novice up to speed with productionizing Storm. About the Technology It's hard to make sense out of data when it's coming at you fast. Like Hadoop, Storm processes large amounts of data but it does it reliably and in real time, guaranteeing that every message will be processed. Storm allows you to scale with your data as it grows, making it an excellent platform to solve your big data problems. About the Book Storm Applied is an example-driven guide to processing and analyzing real-time data streams. This immediately useful book starts by teaching you how to design Storm solutions the right way. Then, it quickly dives into real-world case studies that show you how to scale a high-throughput stream processor, ensure smooth operation within a production cluster, and more. Along the way, you'll learn to use Trident for stateful stream processing, along with other tools from the Storm ecosystem. This book moves through the basics quickly. While prior experience with Storm is not assumed, some experience with big data and real-time systems is helpful. What's Inside Mapping real problems to Storm components Performance tuning and scaling Practical troubleshooting and debugging Exactly-once processing with Trident About the Authors Sean Allen, Matthew Jankowski, and Peter Pathirana lead the development team for a high-volume, search-intensive commercial web application at TheLadders. Table of Contents Introducing Storm Core Storm concepts Topology design Creating robust topologies Moving from local to remote topologies Tuning in Storm Resource contention Storm internals Trident
The United States Department of Commerce Publications, Catalog and Index Supplement
| Author | : United States. Department of Commerce |
| Publisher | : |
| Total Pages | : 616 |
| Release | : 1962 |
| Genre | : Commerce |
| ISBN | : |
Into the Storm
| Author | : Tristram Korten |
| Publisher | : Ballantine Books |
| Total Pages | : 262 |
| Release | : 2018-04-24 |
| Genre | : Nature |
| ISBN | : 1524797898 |
“An intense, immersive deep dive into a wild, dangerous, and unknown world, written with the pace and appeal of a great thriller. This is nonfiction at its very best.”—Lee Child The true story of two doomed ships and a daring search-and-rescue operation that shines a light on the elite Coast Guard swimmers trained for the most dangerous ocean missions In late September 2015, Hurricane Joaquin swept past the Bahamas and swallowed a pair of cargo vessels in its destructive path: El Faro, a 790-foot American behemoth with a crew of thirty-three, and the Minouche, a 230-foot freighter with a dozen sailors aboard. From the parallel stories of these ships and their final journeys, Tristram Korten weaves a remarkable tale of two veteran sea captains from very different worlds, the harrowing ordeals of their desperate crews, and the Coast Guard’s extraordinary battle against a storm that defied prediction. When the Coast Guard received word from Captain Renelo Gelera that the Minouche was taking on water on the night of October 1, the servicemen on duty helicoptered through Joaquin to the sinking ship. Rescue swimmer Ben Cournia dropped into the sea—in the middle of a raging tropical cyclone, in the dark—and churned through the monstrous swells, loading survivors into a rescue basket dangling from the helicopter as its pilot struggled against the tempest. With pulsating narrative skill in the tradition of Sebastian Junger and Jon Krakauer, Korten recounts the heroic efforts by Cournia and his fellow guardsmen to haul the Minouche’s crew to safety. Tragically, things would not go as well for Captain Michael Davidson and El Faro. Despite exhaustive searching by her would-be rescuers, the loss of the vessel became the largest U.S. maritime disaster in decades. As Korten narrates the ships’ fates, with insights drawn from insider access to crew members, Coast Guard teams, and their families, he delivers a moving and propulsive story of men in peril, the international brotherhood of mariners, and the breathtaking power of nature. Praise for Into the Storm “The story [Tristram] Korten tells is impressively multifaceted, exploring everything from timely issues such as climate change to timeless themes such as man’s struggle against the ocean’s fury.”—Miami New Times “Into the Storm is a triumph of reporting and you-are-there writing that becomes a deeper tale—with more implications about our own lives—with every chapter.”—Robert Kurson, New York Times bestselling author of Shadow Divers
Proceedings
| Author | : American Society of Civil Engineers |
| Publisher | : |
| Total Pages | : 1388 |
| Release | : 1907 |
| Genre | : Civil engineering |
| ISBN | : |
Big Data
| Author | : James Warren |
| Publisher | : Simon and Schuster |
| Total Pages | : 481 |
| Release | : 2015-04-29 |
| Genre | : Computers |
| ISBN | : 1638351104 |
Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth
