Self Employed Architect Interview Questions, Process, and Tips

ETL process stands for Extract, Transform, Load. It is a data integration process used to collect data from various sources, transform it into a consistent format, and load it into a target database or data warehouse.

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

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

• Load: Transformed data is loaded into...read more

To merge two data sets, use a common key to combine the rows from each set into a single data set.

• Identify a common key in both data sets to merge on

• Use a join operation (e.g. inner join, outer join) to combine the data sets based on the common key

• Choose the appropriate join type based on the desired outcome (e.g. keep all rows from both sets, only matching rows, etc.)

Data mining is the process of discovering patterns and relationships in large datasets.

• Data mining involves extracting useful information from large datasets

• It uses various techniques such as machine learning, statistics, and database systems

• Examples include market basket analysis, clustering, and classification

Data cleaning is the process of identifying and correcting errors or inconsistencies in data to improve its quality and accuracy.

• Removing duplicate entries

• Correcting spelling errors

• Handling missing values

• Standardizing data formats

• Identifying and removing outliers

The project involved implementing a cloud solution for a client to improve scalability and efficiency.

• Designed and implemented cloud infrastructure using AWS services

• Migrated on-premise applications to the cloud for improved performance

• Implemented automation for deployment and scaling of resources

• Provided training and support to client's IT team for managing the cloud environment