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| Building Apache Beam Data Pipeline (Source: Pixabay) |
In introduction article of this series Streaming Analytics in Google Cloud Platform (GCP) - Introduction, we have seen the basics of streaming analytics, its importance and example uses cases, and short introduction about the Google Cloud Services, we will be using to build Streaming Analytics system in Google Cloud Platform.
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Streaming Analytics in GCP (Source: Pixabay) |
Hello everyone, in the previous article Streaming Analytics in Google Cloud Platform - Introduction, we have covered what is streaming analytics, what services we are going to use and a quick introduction to each service. In this part of the series, we will begin the installation of SDKs, and libraries and set up our environment.
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| Streaming Analytics in Google Cloud Platform (image source - pixabay) |
Welcome to our new series on building a streaming analytics system in the Google Cloud Platform!. Let's begin with a quick introduction. Streaming analytics is the process of analysing data in real-time as it is received. Streaming analytics enables an organisation to gain insights and make decisions based on the most up-to-date data, in real time. This is crucial for business as it allows organisations to respond to changes and opportunities in a timely manner.