Getting Started with Storm
Category: eBooks
- views: 1 104
- date: 13 December 2012
- posted by: piplos
O..y M..a(9-2012) |104 pages | 1449324010 | PDF| 4Mb
Getting Started with Storm /by Jonathan Leibiusky, Gabriel Eisbruch and 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 to build fast, fault-tolerant solutions that process results as soon as the data arrives.
Discover how easy it is to set up Storm clusters for solving various problems, including continuous data computation, distributed remote procedure calls, and data stream processing.
Learn how to program Storm components: spouts for data input and bolts for data transformation
Discover how data is exchanged between spouts and bolts in a Storm topology
Make spouts fault-tolerant with several commonly used design strategies
Explore bolts—their life cycle, strategies for design, and ways to implement them
Scale your solution by defining each component’s level of parallelism
Study a real-time web analytics system built with Node.js, a Redis server, and a Storm topology
Write spouts and bolts with non-JVM languages such as Python, Ruby, and javascript
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||