• Choose the hardware and Hadoop distribution that best suits your needs
• Get more value out of your Hadoop cluster with Hive, Impala, and Sqoop
• Learn useful...

• Quickly set up Apache Kafka clusters and start writing message producers and consumers
• Write custom producers and consumers with message partition techniques
• Integrate...

• Shows you how to build Accumulo, Hadoop, and ZooKeeper...

Clustering is an important unsupervised classification technique where a set of patterns, usually vectors in multidimensional space, are grouped into clusters based on some similarity or dissimilarity criteria. In crisp clustering, each pattern is assigned to exactly one cluster, whereas in fuzzy clustering, each pattern is given a...

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Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets...

• Learn to use Apache Storm and the Python Petrel library to build distributed applications that process large streams of data
• Explore sample applications in real-time and analyze...

• Architect a Hadoop solution with a modular design for data collection, distributed processing, analysis, and reporting
• Build a multi-node Hadoop cluster on Windows servers
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