It takes the average reader 6 hours to read IBM InfoSphere Streams Harnessing Data in Motion by Chuck Ballard
Assuming a reading speed of 250 words per minute. Learn more
In this IBM® Redbooks® publication, we discuss and describe the positioning, functions, capabilities, and advanced programming techniques for IBM InfoSphereTM Streams (V1). See: http://www.redbooks.ibm.com/abstracts/sg247970.html for the newer InfoSphere Streams (V2) release. Stream computing is a new paradigm. In traditional processing, queries are typically run against relatively static sources of data to provide a query result set for analysis. With stream computing, a process that can be thought of as a continuous query, that is, the results are continuously updated as the data sources are refreshed. So, traditional queries seek and access static data, but with stream computing, a continuous stream of data flows to the application and is continuously evaluated by static queries. However, with IBM InfoSphere Streams, those queries can be modified over time as requirements change. IBM InfoSphere Streams takes a fundamentally different approach to continuous processing and differentiates itself with its distributed runtime platform, programming model, and tools for developing continuous processing applications. The data streams 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.
IBM InfoSphere Streams Harnessing Data in Motion by Chuck Ballard is 360 pages long, and a total of 90,000 words.
This makes it 121% the length of the average book. It also has 110% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 8 hours and 11 minutes to read IBM InfoSphere Streams Harnessing Data in Motion aloud.
IBM InfoSphere Streams Harnessing Data in Motion is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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