02358nam a22003377i 450000500170000000600190001700700030003600800410003902000180008002000150009804000130011304100080012608200200013410000350015424501120018925000070030126400630030830000640037133600270043533700330046233800280049550000200052350504170054352008650096065000250182565000380185065000240188865000450191265000310195765000320198820251030140041.0a|||||r|||| 00| 0 t|250310s2017    |||||||| |||| 00| 0 spa d  a9781449373320  a1449373321  erdabspa  heng04a005.7223bK64d1 aKleppmann, Martineautor.4aut10aDesigning data-intensive applications :bthe big ideas behind reliable, scalable, and maintainable systems.  a1. 1a[Place of publication not identified] :bO´REILLY,c2017.  a590 páginas :billustrations, charts ;c24 centímetros.  atextobtxt2rdacontent  asin mediaciónbn2rdamedia  avolumenbnc2rdacarrier  aIncludes index.0 aPart 1. Foundations of data systems.  Reliable, scalable, and maintainable applications -- Data models and query languages -- Storage and retrieval -- Encoding and evolutuion -- Part 2. Distributed data.  Replication -- Partitioning -- Transactions -- The trouble with distributed systems -- Consistency and consensus -- Part 3. Derived data.  Batch processing -- Stream processing -- The future of data systems.  aData 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 mainteinability. In addition, we have an overwhelming variet 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 gjuide, 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. 0aWeb site development 0aApplication softwarexDevelopment 0aDatabase management 7aApplication softwarexDevelopment.2fast 7aDatabase management.2fast 7aWeb site development.2fast