Business Intelligence Engineer + Data Analyst + Cloud Data Engineer @nelson-analytics
A traveling circus startup has discovered that they have numerous data feeds coming from various sources and would like to consolidate them into an uniform relational data model to assist in answering key business questions.
A new product has just been introduced by an online merchant. In order to understand the effects of new product launches, they want to use data to assess and improve marketing channels, track and test website conversion performance, and measure website performance.
The increased covid-19 motility rate in Europe has been ascribed to population aging. Our data science team intends to create predictions using data from the population grouped by age group in each European country puplished in Eurostat website. We must ingest this data into the data lake so that the machine learning algorithms can utilise it.
A taxi firm records information regarding each cab ride. In this example, we suppose two distinct devices are sending data. The taxi features a meter that transmits data about each ride, including the length, distance, and pickup and dropoff locations. A separate device receives customer payments and transmits fare information. The taxi business aims to compute the average tip per mile traveled in real time for each neighborhood to spot ridership trends.