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Big Data
Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. Complexity increases with scale and demand, and handling big data is not as simple as just doubling down on your RDBMS or rolling out some trendy new technology. Fortunately, scalability and simplicity are not mutually exclusive—you just need to take a different approach. Big data systems use many machines working in parallel to store and process data, which introduces fundamental challenges unfamiliar to most developers...
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HBase in Action
When you're dealing with big data, traditional databases don't cut it. Use the right tool for the job. HBase is a NoSQL storage system designed from the ground up for fast, random access to large volumes of data. Built on Hadoop, it runs on commodity hardware and scales along with you from modest datasets up to millions of columns and billions of rows...
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Neo4J in Action
Databases are easier to develop and use when the structure of your data matches the way you think and talk about them. Neo4j is a new graph database that allows you to persist data more naturally from domains such as social networking and recommendation engines, where representing data as a graph of interconnected nodes is a natural choice. Neo4j significantly outperforms relational databases when querying graph data. It supports large data sets while preserving full transactional database attributes...
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Taming Text
It is no secret that the world is drowning in text and data. This causes real problems for everyday users who need to make sense of all the information available, and software engineers who want to make their text-based applications more useful and user-friendly. Whether you're building a search engine for a corporate website, automatically organizing email, or extracting important nuggets of information from the news, dealing with unstructured text can be a daunting task...
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MongoDB in Action
MongoDB in Action is a comprehensive guide to MongoDB for application developers. The book begins by explaining what makes MongoDB unique and describing its ideal use cases. A series of tutorials designed for MongoDB mastery then leads into detailed examples for leveraging MongoDB in e-commerce, social networking, analytics, and other common applications...
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Redis in Action
Redis is an innovative data tool that offers more flexibility than other available NoSQL key-value stores like Cassandra or DynamoDB. Because Redis accepts hashes, strings, lists, and other structures as values, you can expand the key-value idea to a wider range of use cases. Redis works with in-memory datasets to provide lightning-fast response times, and makes it easy to persist data to disk on the fly. It's free, open source, and easy to utilize from most standard programming languages...
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Lucene in Action, Second Edition
When Lucene first appeared, this superfast search engine was nothing short of amazing. Today, Lucene still delivers. Its high-performance, easy-to-use API, features like numeric fields, payloads, near-real-time search, and huge increases in indexing and searching speed make it the leading search tool...
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Hadoop in Practice
Hadoop is a open-source platform designed to efficiently query and analyze data distributed across large clusters. It's built around MapReduce, Google's algorithm for rapidly creating a distributed index of the Internet.
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Hadoop in Action
Big data can be difficult to handle using traditional databases. Apache Hadoop is a NoSQL applications framework that runs on distributed clusters. This lets it scale to huge datasets. If you need analytic information from your data, Hadoop's the way to go.
