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The InfoQ eMag: Real-Time APIs: Design, Operation, and Observation
Research shows that there is an increasing demand for near real-time APIs, in which speed and flexibility of response are vitally important. This eMag explores this emerging trend in more detail.
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Big Data Processing with Apache Spark
In this mini-book, the reader will learn about the Apache Spark framework and will develop Spark programs for use cases in big-data analysis. The book covers all the libraries that are part of Spark ecosystem, which includes Spark Core, Spark SQL, Spark Streaming, Spark MLlib, and Spark GraphX.
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The InfoQ eMag: Streaming Architecture
This InfoQ emag aims to introduce you to core stream processing concepts like the log, the dataflow model, and implementing fault-tolerant streaming systems.
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InfoQ eMag: Hadoop
Apache Hadoop is proving useful in deriving insights out of large amounts of data, and is seeing rapid improvements. Hadoop 2 now goes beyond Map-Reduce; it is more modular, pluggable and flexible and it fits a variety of use cases better. We explore this as well as some tools that can help utilize Hadoop better.
Sponsored Content
7 Essentials When Selecting a NoSQL Database-as-a-Service (DBaaS)
This paper outlines 7 key considerations that help teams tap the many benefits a DBaaS has to offer — without falling into some of the common traps that impact agility, productivity, costs, and growth. Download Now.
SQL to NoSQL: Architecture Differences and Considerations for Migration
Learn the tradeoffs between flexibility, scale and cost, plus what to consider for successful SQL to NoSQL migrations. Download Now.
7 Reasons Not to Put an External Cache in Front of Your Database
Read this white paper to learn common approaches to caching data, 7 specific reasons why external caching can be a bad choice. real-world examples of successfully eliminating external cache by companies such as Comcast, and more. Download Now.