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Visualizing Streaming Data

While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up;

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Pro Spark Streaming

data processing. DStreams enhance the underlying Spark processing engine to support streaming analysis with a novel micro-batch processing;

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Real-Time Analytics

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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Kafka in Action

book probes Kafka's most common use cases, ranging from simple logging through managing streaming data systems for message routing, analytics;

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Streaming Data

Data introduces the concepts and requirements of streaming and real-time data systems. Readers will develop a foundation to understand the;

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Data Stream Management

Many applications process high volumes of streaming data, among them Internet traffic analysis, financial tickers, and transaction log;

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Learn PySpark

techniques. This is followed by building workflows for analyzing streaming data using PySpark and a comparison of various streaming platforms;

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Learn PySpark

transformations techniques. This is followed by building workflows for analyzing streaming data using PySpark and a comparison of various streaming;

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Big Data Analytics

batch and real-time data analytics using Spark Core, Spark SQL, and Conventional and Structured Streaming * Get to grips with data science and;

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Practical Enterprise Data Lake Insights

that can bring up tough questions such as data processing, data querying, and security. Concepts such as change data capture and data streaming;

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Building Data Streaming Applications with Apache Kafka

streaming applications in Apache Kafka to process data streams of data * Master the core Kafka APIs to set up Apache Kafka clusters and start;

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Modern Data Engineering with Apache Spark

workloads and even near real-time processing of streaming data. Spark fits well as a central foundation for any data engineering workload. This book;

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Relevant Query Answering over Streaming and Distributed Data

over streaming and distributed data. In recent years, Web applications that combine highly dynamic data streams with data distributed over the Web to;

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Streaming Architecture

More and more data-driven companies are looking to adopt stream processing and streaming analytics. With this concise ebook, you ll learn;

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Bio inspired Algorithms for Data Streaming and Visualization Big Data Managemen

, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to;

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Apache Spark 2.x Cookbook

Spark including Databricks Cloud notebook * Find out how to operate on data in Spark with schemas * Get to grips with real-time streaming;

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Streaming and Digital Media

content (Sling, TiVO, IPTV) - Addition of Flash streaming technology and Podcasting - Up-to-date market research and data - New industry;

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With Friends - Live At Streaming .. Streaming .. STREAMING. Kari Band, CD

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Learning Apache Apex

-time data processing * Program Apache Apex streaming applications * This book shows you Apex integration with the open source Big Data;

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Learning Spark

data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming;

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Getting Started with Storm

at handling streaming data: data that is constantly arriving, and results that are changing as fast as the data arrives. Storm is a new tool;

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Hands-On Guide to Streaming Media

This book describes the steps for creating an on-demand and live streaming video in an all-in-one refernce guide for new users and;

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Scala Data Analysis Cookbook

variety of cluster managers * Run streaming and graph analytics in Spark to visualize data, enabling exploratory analysis In Detail This;

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Learning Spark

like Hive, Hadoop, Mahout, and Storm Learn how to deploy interactive, batch, and streaming applications Connect to data sources including;

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FPGA to High speed ADC Data streaming

Where does the content of this book apply? Firstly in research institutes where it is necessary to acquire data in streaming at high speed;

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Advances in Databases and Information Systems

, key-value stores, and big data systems; and streaming data analysis; web, XML and semi-structured databases.;

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Siempre Streaming Concert Version STREAMING CONCERT VERSION. Hard Gz, CD

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