Posts

Showing posts with the label apache-storm-topology-example

Featured Post

15 Python Tips : How to Write Code Effectively

Image
 Here are some Python tips to keep in mind that will help you write clean, efficient, and bug-free code.     Python Tips for Effective Coding 1. Code Readability and PEP 8  Always aim for clean and readable code by following PEP 8 guidelines.  Use meaningful variable names, avoid excessively long lines (stick to 79 characters), and organize imports properly. 2. Use List Comprehensions List comprehensions are concise and often faster than regular for-loops. Example: squares = [x**2 for x in range(10)] instead of creating an empty list and appending each square value. 3. Take Advantage of Python’s Built-in Libraries  Libraries like itertools, collections, math, and datetime provide powerful functions and data structures that can simplify your code.   For example, collections.Counter can quickly count elements in a list, and itertools.chain can flatten nested lists. 4. Use enumerate Instead of Range     When you need both the index and the value in a loop, enumerate is a more Pyth

Apache Storm Architecture Tutorial Flowchart

Image
There are two main reasons why Apache Storm is so popular. The number one is it can connect to many sources. The number two is scalable. The other advantage is fault-tolerant. That means, guaranteed data processing. The map-reduce jobs process data analytics in Hadoop. The topology in Storm is the real data processor. The co-ordination between Nimbus and Supervisor carried by Zookeeper Apache Storm The jobs in Hadoop are similar to the topology. The jobs run as per the schedule defined. In Storm, the topology runs forever. A topology consists of many worker processes spread across many machines.  A topology is a pre-defined design to get end product using your data. A topology comprises of 2 parts. These are Spout and bolts. The Spout is a funnel for topology Two nodes in Storm Master Node: similar to the Hadoop job tracker. It runs on a daemon called Nimbus. Worker Node: It runs on a daemon called Supervisor. The Supervisor listens to the work assigned to