Hanning Motors Interview Questions and Answers

ETL stands for Extract, Transform, Load. It is a process used to extract data from various sources, transform it into a usable format, and load it into a data warehouse.

• Extract: Data is extracted from different sources such as databases, files, APIs, etc.

• Transform: Data is cleaned, formatted, and transformed into a consistent structure.

• Load: The transformed data is loaded into a data warehouse for analysis and reporting.

• ETL is commonly used in data warehousing, business intel...read more

Handle date different date formats by standardizing them using a common format

• Identify all the different date formats present in the dataset

• Convert all dates to a common format (e.g. YYYY-MM-DD)

• Use libraries like pandas in Python to parse and standardize dates

• Handle missing or incorrect dates by setting them to a default value

Indexes are data structures that improve the speed of data retrieval operations in databases.

• Indexes are used to quickly locate data without having to search every row in a database table.

• They are created on columns in a database table to speed up SELECT queries.

• Examples of indexes include primary keys, unique keys, and non-unique indexes.

Yes, I am familiar with regex and have experience using it for data analysis.

• Regex stands for regular expressions and is used for pattern matching in text data

• It allows for searching, extracting, and manipulating text based on specific patterns

• Example: using regex to extract email addresses from a dataset

Sales down root cause analysis involves identifying factors impacting sales performance.

• Review sales data to identify trends and patterns

• Analyze market conditions and competitive landscape

• Evaluate sales strategies and tactics

• Assess product pricing and positioning

• Consider external factors such as economic conditions or industry changes