Data Analytics Engineer Interview Questions and Answers

Mapping source to target involves understanding data flow and designing data marts for efficient analytics.

• Identify source systems: Understand where the data originates, e.g., CRM, ERP.

• Define target schema: Design the data mart schema, e.g., star or snowflake schema.

• Data transformation: Apply ETL processes to clean and transform data for analysis.

• Data modeling: Create logical and physical models to represent data relationships.

• Testing and validation: Ensure data integrity and...read more

Batch processing handles large data sets at once, while streaming processes data in real-time for immediate insights.

• Batch Processing: Suitable for large volumes of data; e.g., monthly sales reports.

• Streaming: Ideal for real-time data; e.g., monitoring patient vitals continuously.

• Batch Architecture: Involves ETL processes, data lakes, and scheduled jobs.

• Streaming Architecture: Utilizes message queues, stream processing frameworks like Apache Kafka or Spark Streaming.

• Data Stor...read more

Designing data models for a modern data warehouse involves structuring data for efficient querying and analysis.

• Identify business requirements: Understand the key metrics and KPIs needed by stakeholders.

• Choose a modeling technique: Use star schema for simplicity or snowflake schema for normalization.

• Define fact and dimension tables: Fact tables store quantitative data, while dimension tables provide context (e.g., sales data as facts and product details as dimensions).

• Impleme...read more

Python code to check if a string is a palindrome

• Use string slicing to reverse the input string and compare it with the original string

• Ignore spaces and punctuation when checking for palindrome

• Convert the input string to lowercase for case-insensitive comparison