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explore the techniques and programming concepts using Apache Storm. Moving on, we'll familiarize you with Amazon Kinesis for real-time data;
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beginner and intermediate users, grounded in realworld example applications. Although the book focuses primarily on Java development with Storm;
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Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data;
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Build real-world, industry-strength data storage solutions with time-tested design methodologies using Cassandra About This Book;
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Master the intricacies of Apache Storm and develop real-time stream processing applications with ease About This Book * Exploit the;
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development. Together, Storm and Python enable you to build and deploy real-time big data applications quickly and easily. You will begin with some;
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Use Big Data and technology to uncover real-world insights You don't need a time machine to predict the future. All it takes is a little;
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About This Book Learn to install and use Cassandra from the ground up Design rich schemas that capture the relationships between;
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real-time analysis, and interactive querying frameworks including HDFS, Hadoop, MapReduce, YARN, Pig, Oozie, Spark, Solr, HBase, Storm, Spark;
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to build, manage, and deploy your services and applications. Cloud Analytics with Microsoft Azure covers all that you need to extract useful;
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Build, manage, and configure high-performing, reliable NoSQL database for your applications with Cassandra Key Features Write programs more;
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Follow this handbook to build, configure, tune, and secure Apache Cassandra databases. Start with the installation of Cassandra and move on;
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with the latest features and new additions to Microsoft Azure Master the fundamentals of cloud analytics using Azure Learn to use Azure;
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Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the;
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in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine;
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data processing Learn to use Hadoop with Apache Spark and Apache Flink for real-time data analytics Set up a Hadoop cluster on AWS cloud;
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. However, there remain potential issues that need to be addressed to enable big data processing and analytics in real time;
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Learn how today's businesses can transform themselves by leveraging real-time data and advanced machine learning analytics. This book;
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always-connected, accurate, and real-time information. Right Experience, Right Results: Improving Profits, Margin, and Engagement with Mobile and;
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, and a custom HTTP receiver Integrate and couple with HBase, Cassandra, and Redis Take advantage of design patterns for side-effects and;
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, real-time, and predictive or prescriptive insights and recommendations. Educational data mining refers to the process of extracting useful;
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. However, there remain potential issues that need to be addressed to enable big data processing and analytics in real time;
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the Elastic Stack and provide practical steps on centralized logging and real-time analytics with the Elastic Stack in production. You will;
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, and Tableau Server Key Features Master new features in Tableau 2019.1 to solve real-world analytics challenges Perform Geo-Spatial Analytics;
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Hadoop ecosystem tools, like Apache Flume, Apache Spark, Apache Storm, Apache Hive, R, and Python, which can be used for different types;
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