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Basic Understanding of Stateful Data Streaming Supported by Apache Flink

The technologies related to the Apache Flink big data processing platform are enhancing its maturity in order to efficiently execute data streaming, which is becoming a major focal point for businesses as it allows them to quickly make decisions. 

Data Streaming

By leveraging data streaming applications, we can process/analyze the continuous flow of data without storing the data (i.e. the data stays in motion) to undercover any discrepancies, issues, errors, behavioral patterns, etc. that can help you make informed, data-driven decisions.

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A Guide to Data Warehousing Clickstream Data, Part 1

Table of Contents

Part 1

  • Why clickstream is so important to your online business
    • No data science without data
    • Understanding customer – key advantage
    • Going beyond charts and dashboards
  • What is clickstream data?
  • Example data output

Part 2

  • Clickstream analysis
    • Traffic analysis
    • Sales funnel analysis
    • Browse/Cart abandonment and recovery
    • Personalization
    • Tracking Experiments (A/B testing)
    • Identity Stitching
  • Conclusion

Why Cickstream Is So Important to Your Online Business

Clickstream data allows you to see what actions customers are taking on your website. Given how commerce is shifting more and more online, this data is becoming essential for your business to stay competitive. Before defining what kind of data this is, let's take a look at the main reasons why a business needs to own it in the first place.

No Data Science Without Data

The first reason why you should collect and own clickstream data is to be able to take advantage of data science. Unfortunately, as the name implies, data comes first before any science can be made and without it even the most sophisticated models won’t work. This is why you would want to pursue strategic data acquisition, which will make your business more defensible in the long run.