6. In the lambda architecture, what is the component in the batch layer
analytics client
Batch layer
Speed Layer - Real-time views
Serving Layer
7. How do Kappa architecture build upon the lambda architecture?
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 accounting for missing data is far more sophisticated
The Kappa architecture insits on always performing DQ tests, regardless of speed constraints
8. 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
9. What is the formalised data analytics processes
Requirement Gathering, data ingestion and processing/cleaning, data exploration, deploying analytic solution, data analysis, feedback, optimise solution
Requirement Gathering, decide upon methodology, data ingestion and processing, data exploration, deploying analytic solution, data analysis, feedback, optimise solution
Requirement Gathering, data ingestion and processing, data exploration, data analysis, deploying analytic solution, feedback, optimise solution
Requirement Gathering, data ingestion and processing, data exploration, deploying analytic solution, data analysis, feedback, optimise solution
10. What type of data is best suited for batch processing
real-time personalized advertising data
Daily sales report data
IoT gas sensor data
11. What is the advantage of using power BI over a Synapse notebook
power Bi allows for more simplistic and straightforward visuals
Power BI can be distributed outside of an analytic team