Designing Data-Intensive Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Designing Data-Intensive Applications write by Martin Kleppmann. This book was released on 2017-03-16. Designing Data-Intensive Applications available in PDF, EPUB and Kindle. Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
Data-intensive Systems
Data-intensive Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data-intensive Systems write by Tomasz Wiktorski. This book was released on 2019-01-01. Data-intensive Systems available in PDF, EPUB and Kindle. Data-intensive systems are a technological building block supporting Big Data and Data Science applications.This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more advanced technical reference literature that dominates the current landscape. The material in the book is structured following a problem-based approach. This means that the content in the chapters is focused on developing solutions to simplified, but still realistic problems using data-intensive technologies and approaches. The reader follows one reference scenario through the whole book, that uses an open Apache dataset. The origins of this volume are in lectures from a master’s course in Data-intensive Systems, given at the University of Stavanger. Some chapters were also a base for guest lectures at Purdue University and Lodz University of Technology.
Morgan Kaufmann series in data management systems
Morgan Kaufmann series in data management systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Morgan Kaufmann series in data management systems write by Stefano Ceri. This book was released on 2003. Morgan Kaufmann series in data management systems available in PDF, EPUB and Kindle. This text represents a breakthrough in the process underlying the design of the increasingly common and important data-driven Web applications.
Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management
Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management write by Kosar, Tevfik. This book was released on 2012-01-31. Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management available in PDF, EPUB and Kindle. "This book focuses on the challenges of distributed systems imposed by the data intensive applications, and on the different state-of-the-art solutions proposed to overcome these challenges"--Provided by publisher.
Handbook of Data Intensive Computing
Handbook of Data Intensive Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Data Intensive Computing write by Borko Furht. This book was released on 2011-12-10. Handbook of Data Intensive Computing available in PDF, EPUB and Kindle. Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computing is to provide the hardware architectures and related software systems and techniques which are capable of transforming ultra-large data into valuable knowledge. Handbook of Data Intensive Computing is written by leading international experts in the field. Experts from academia, research laboratories and private industry address both theory and application. Data intensive computing demands a fundamentally different set of principles than mainstream computing. Data-intensive applications typically are well suited for large-scale parallelism over the data and also require an extremely high degree of fault-tolerance, reliability, and availability. Real-world examples are provided throughout the book. Handbook of Data Intensive Computing is designed as a reference for practitioners and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.
