IBM InfoSphere Streams: Assembling Continuous Insight in the Information Revolution

Name: IBM InfoSphere Streams: Assembling Continuous Insight in the Information Revolution
Rating: 5 (4 reviews)

Chuck Ballard · Kevin Foster · Andy Frenkiel · Bugra Gedik · Michael P. Koranda · Senthil Nathan · Deepak Rajan · Roger Rea · Mike Spicer · Brian Williams · Vitali N. Zoubov · IBM Redbooks

Mey 2012 · IBM Redbooks

5.0

4 izibuyekezo

I-Ebook

456

Amakhasi

Kufanelekile

Izilinganiso nezibuyekezo aziqinisekisiwe Funda Kabanzi

Mayelana nale ebook

In this IBM® Redbooks® publication, we discuss and describe the positioning, functions, capabilities, and advanced programming techniques for IBM InfoSphereTM Streams (V2), a new paradigm and key component of IBM Big Data platform. Data has traditionally been stored in files or databases, and then analyzed by queries and applications. With stream computing, analysis is performed moment by moment as the data is in motion. In fact, the data might never be stored (perhaps only the analytic results). The ability to analyze data in motion is called real-time analytic processing (RTAP).

IBM InfoSphere Streams takes a fundamentally different approach to Big Data analytics and differentiates itself with its distributed runtime platform, programming model, and tools for developing and debugging analytic applications that have a high volume and variety of data types. Using in-memory techniques and analyzing record by record enables high velocity. Volume, variety and velocity are the key attributes of Big Data. The data streams that are consumable by IBM InfoSphere Streams can originate from sensors, cameras, news feeds, stock tickers, and a variety of other sources, including traditional databases. It provides an execution platform and services for applications that ingest, filter, analyze, and correlate potentially massive volumes of continuous data streams.

This book is intended for professionals that require an understanding of how to process high volumes of streaming data or need information about how to implement systems to satisfy those requirements.

See: http://www.redbooks.ibm.com/abstracts/sg247865.html for the IBM InfoSphere Streams (V1) release.

Izilinganiso nezibuyekezo

5.0

4 izibuyekezo

Nikeza le ebook isilinganiso

Sitshele ukuthi ucabangani.

Ulwazi lokufunda

Amasmathifoni namathebulethi

Faka uhlelo lokusebenza lwe-Google Play Amabhuku lwe-Android ne-iPad/iPhone. Livunyelaniswa ngokuzenzakalela ne-akhawunti yakho liphinde likuvumele ukuthi ufunde uxhunywe ku-inthanethi noma ungaxhunyiwe noma ngabe ukuphi.

Amakhompyutha aphathekayo namakhompyutha

Ungalalela ama-audiobook athengwe ku-Google Play usebenzisa isiphequluli sewebhu sekhompuyutha yakho.

Ama-eReaders namanye amadivayisi

Ukuze ufunde kumadivayisi e-e-ink afana ne-Kobo eReaders, uzodinga ukudawuniloda ifayela futhi ulidlulisele kudivayisi yakho. Landela imiyalelo Yesikhungo Sosizo eningiliziwe ukuze udlulise amafayela kuma-eReader asekelwayo.

Bika okuqukethwe okungekho emthethweni