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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.

  • The Morning Paper Issue 6 - Computer Science Applied

    Subtle production failures running Microsoft Azure, identifying users from aggregated mobile data,  taking over a city with Philips Hue lightbulbs, processing a trillion edge graph on a single machine, and why Rust should be your systems language of choice.

  • The InfoQ eMag: Getting a Handle on Data Science

    This eMag looks at data science from the ground up, across technology selection, assembling raw and unstructured data, statistical thinking, machine learning basics, and the ethics of applying these new weapons.

  • The InfoQ eMag: The Current State of NoSQL Databases

    This eMag focuses on the current state of NoSQL databases. It includes articles, a presentation and a virtual panel discussion covering a variety of topics ranging from highly distributed computations, time series databases to what it takes to transition to a NoSQL database solution.

  • InfoQ eMag: Graph Databases

    This eMag focuses on the graph database landscape and the real world use cases of graph databases. It includes articles and interviews covering topics like data modeling in graph databases and how companies use graph databases in their application. It also includes an article on full stack web development using a graph database.

  • InfoQ eMag: The Best of NoSQL

    The InfoQ NoSQL eMag brings together a selection of popular NoSQL articles recently published on InfoQ.com. Get a complete overview of the current NoSQL movement, learn how NoSQL relates to the CAP Theorem, and get practical guidance on setting up and using a popular NoSQL database.

  • Good Relationships

    With Spring Data, the ever popular Spring Framework has cultivated a new patch of ground, bringing Big Data and NOSQL technology like Neo4j to enterprise developers. This guide introduces you to Spring Data Neo4j, using the fast, powerful and scalable graph database Neo4j to enjoy the benefits of having good relationships in your data.

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