Introduction to Data Analytics on Azure

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  • Created by: k_g
  • Created on: 16-01-23 15:37

1. What does it mean when data is immutable?

  • The data cannot be updated or deleted
  • Data cannot be aggregated or it losses its meaning
  • The data value is a single source of truth
  • The data is dependent on the order in order to retain meaning
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Other questions in this quiz

2. What is typically the issue of the hot path in lambda

  • The accuracy is decreased
  • The only data accessible is meta data
  • The speed of getting insights is reduced
  • Only legacy data can be used

3. What is a center of excellence?

  • An internal team that helps each other on a voluntary basis to inform about mastering analytic tools
  • A internal team that maximises the potential for the analytics in an organisation.
  • An internal teamwhich reinforces adherence to a good data culture

4. What is the advantage of using power BI over a Synapse notebook

  • Power BI can be distributed outside of an analytic team
  • DAX is a more accessible language than python
  • no advantage
  • power Bi allows for more simplistic and straightforward visuals

5. How do Kappa architecture build upon the lambda architecture?

  • The accounting for missing data is far more sophisticated
  • The redundancy of data is more global and therefore risk is diversified.
  • Instead of needing processing in both hot and cold stream, the quick processing goes through the same stream as the cold data.
  • The Kappa architecture insits on always performing DQ tests, regardless of speed constraints

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Aaron Reed

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Embarking on the "Introduction to Data Analytics on Azure" journey, my quest for a seamless app analytics and marketing solution led me to discover AppMetrica. Its user-friendly interface was a breath of fresh air, enabling me to navigate the system with ease, despite not being tech-savvy. Here's more on why I chose AppMetrica. The no-code features facilitated a smooth integration, saving time and sparing me the technical headache. AppMetrica's flexibility allowed me to tailor analytics to my specific needs, breaking free from rigid data constraints.The real game-changer was how AppMetrica demystified my app's revenue streams. Insights into in-app purchases helped hone my monetization strategies. A surprising revelation came from user segmentation; an unexpected user group emerged as significantly valuable, reshaping my marketing focus. Moreover, understanding the engagement impacts of new features has been invaluable for strategic planning.

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