Real-Time Analytics (eBook)

Techniques to Analyze and Visualize Streaming Data

Byron Ellis (Autor)

eBook Download: PDF

2014 | 1. Auflage
432 Seiten
John Wiley & Sons (Verlag)
978-1-118-83793-1 (ISBN)

Infos

Construct a robust end-to-end solution for analyzing and
visualizing streaming data

Real-time analytics is the hottest topic in data analytics
today. In Real-Time Analytics: Techniques to Analyze and
Visualize Streaming Data, expert Byron Ellis teaches data
analysts technologies to build an effective real-time analytics
platform. This platform can then be used to make sense of the
constantly changing data that is beginning to outpace traditional
batch-based analysis platforms.

The author is among a very few leading experts in the field. He
has a prestigious background in research, development, analytics,
real-time visualization, and Big Data streaming and is uniquely
qualified to help you explore this revolutionary field. Moving from
a description of the overall analytic architecture of real-time
analytics to using specific tools to obtain targeted results,
Real-Time Analytics leverages open source and modern
commercial tools to construct robust, efficient systems that can
provide real-time analysis in a cost-effective manner. The book
includes:

* A deep discussion of streaming data systems and
architectures

* Instructions for analyzing, storing, and delivering streaming
data

* Tips on aggregating data and working with sets

* Information on data warehousing options and techniques

Real-Time Analytics includes in-depth case studies for
website analytics, Big Data, visualizing streaming and mobile data,
and mining and visualizing operational data flows. The book's
"recipe" layout lets readers quickly learn and implement different
techniques. All of the code examples presented in the book, along
with their related data sets, are available on the companion
website.

Autor

BYRON ELLIS is CTO of Spongecell, where he heads research and development. Previously the Chief Data Scientist for LivePerson and CTO at AdBrite, Ellis holds a Ph.D. in Statistics from Harvard University, and a B.S. in Cybernetics from UCLA. He presents sessions on real-time analytics at Strata and other major conferences.

Produkt-Details

• Erscheint lt. Verlag: 19.6.2014
• Sprache: englisch
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Schlagworte: Computer Science • Database & Data Warehousing Technologies • Datenanalyse • Datenbanken u. Data Warehousing • Echtzeitverarbeitung • Informatik
• ISBN-10: 1-118-83793-2 / 1118837932
• ISBN-13: 978-1-118-83793-1 / 9781118837931