Visualizing Streaming Data
Interactive Analysis Beyond Static Limits
|Price||$30.69 - $36.99
|Format||Paper book / ebook (PDF)|
While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up. Dashboards are good at conveying daily or weekly data trends at a glance, though capturing snapshots when data is transforming from moment to moment is more difficult - but not impossible.
With this practical guide, application designers, data scientists, and system administrators will explore ways to create visualizations that bring context and a sense of time to streaming text data. Author Anthony Aragues guides you through the concepts and tools you need to build visualizations for analyzing data as it arrives.
Determine your company's goals for visualizing streaming data; Identify key data sources and learn how to stream them; Learn practical methods for processing streaming data; Build a client application for interacting with events, logs, and records; Explore common components for visualizing streaming data; Consider analysis concepts for developing your visualization; Define the dashboard's layout, flow direction, and component movement; Improve visualization quality and productivity through collaboration; Explore use cases including security, IoT devices, and application data.
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by Andrew G. Psaltis
As humans, we're constantly filtering and deciphering the information streaming toward us. In the same way, streaming data applications can accomplish amazing tasks like reading live location data to recommend nearby services, tracking faults with machinery in real time, and sending digital receipts before your customers leave the shop. R...
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by Byron Ellis
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by Tyler Akidau, Slava Chernyak, Reuven Lax
Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to wo...
Price: $42.99 | Publisher: O'Reilly Media | Release: 2018
by Arun Manivannan
This book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data. It will also help you explore and make sense of your data using stunning and insightfulvisualizations, and machine learning toolkits.Starting with introductory recipes on ...
Price: $35.99 | Publisher: Packt Publishing | Release: 2015
by Naresh Kumar, Prashant Shindgikar
The complex structure of data these days requires sophisticated solutions for data transformation, to make the information more accessible to the users.This book empowers you to build such solutions with relative ease with the help of Apache Hadoop, along with a host of other Big Data tools.This book will give you a complete understanding...
Price: $31.99 | Publisher: Packt Publishing | Release: 2018
by James Lee, Tao Wei, Suresh Kumar Mukhiya
Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific busin...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
by Jonathan Leibiusky, Gabriel Eisbruch, Dario Simonassi
Even as big data is turning the world upside down, the next phase of the revolution is already taking shape: real-time data analysis. This hands-on guide introduces you to Storm, a distributed, JVM-based system for processing streaming data. Through simple tutorials, sample Java code, and a complete real-world scenario, you'll learn how t...
Price: $16.14 | Publisher: O'Reilly Media | Release: 2012
by Fabian Hueske, Vasiliki Kalavri
Get started with Apache Flink, the open source framework that enables you to process streaming data - such as user interactions, sensor data, and machine logs - as it arrives. With this practical guide, you'll learn how to use Apache Flink's stream processing APIs to implement, continuously run, and maintain real-world applications.Author...
Price: $47.52 | Publisher: O'Reilly Media | Release: 2018