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14 Result(s)
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Book
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Book
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Chapter
Conclusions and Outlook
Currently, the world is living in the era of the information age [119]. The world is progressively moving towards being a data-driven society where data are the most valuable asset. Therefore, Big Data analyti...
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Chapter
Popular Graph Algorithms on Giraph
PageRank [47] algorithm is a commonly used mechanism for identifying the significance or the authority of vertices in a graph.
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Chapter
Related Large-Scale Graph Processing Systems
In practice, the introduction of Google’s Pregel system followed by Apache Giraph, as its open source realization, has inspired the development of other various large-scale graph processing systems.
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Chapter
Introduction
There is no doubt that we are living in the era of Big Data where we are witnessing the radical expansion and integration of digital devices, networking, data storage, and computation systems. In practice, dat...
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Chapter
Large-Scale Processing Systems of Structured Data
For programmers, a key appealing feature in the MapReduce framework is that there are only two main high-level declarative primitives (Map and Reduce) which can be written in any programming language of choice an...
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Chapter
Getting Started with Giraph Programming
Center to Apache Giraph graph model are the Vertex and the Edge interfaces.
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Chapter
Advanced Giraph Programming
In this section, we discuss alternative approaches to improve the flexibility of graph algorithms in Giraph and to improve their performance.
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Chapter
General-Purpose Big Data Processing Systems
In 2004, Google introduced the MapReduce framework as a simple and powerful programming model that enables the easy development of scalable parallel applications to process vast amounts of data on large cluste...
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Chapter
Large-Scale Graph Processing Systems
Recently, people, devices, processes, and other entities have been more connected than at any other point in history. In general, a graph is a natural, neat, and flexible structure to model the complex relatio...
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Chapter
Installing and Getting Giraph Ready to Use
Apache Giraph runs on top of Apache Hadoop which has three different installation modes.
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Chapter
Introduction
There is no doubt that we are living the era of big data where we are witnessing radical expansion and integration of digital devices, networking, data storage, and computation systems. We are generating data ...
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Chapter
Large-Scale Stream Processing Systems
In practice, as the world gets more instrumented and connected, we are witnessing a flood of digital data generated from various hardware (e.g., sensors) or software in the format of flowing streams of data. E...
