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I applied via Recruitment Consulltant and was interviewed in Apr 2024. There were 3 interview rounds.
Dimensions and facts are two types of data in a data warehouse. Dimensions are descriptive attributes while facts are measurable data.
Dimensions are used to categorize and filter data while facts are used to perform calculations and analysis.
Dimensions are often used as the basis for reports and dashboards while facts are used to provide the underlying data.
Examples of dimensions include time, location, and product whi...
Informatica Router and Union are used for data integration and transformation.
Informatica Router is used to route data based on certain conditions.
Informatica Union is used to combine data from multiple sources.
Router can be used to split data into multiple targets based on conditions.
Union can be used to merge data from multiple sources into a single target.
Router can be used to implement complex data flows.
Union can
Find employee details with max salary in each department.
Group employees by department
Find max salary for each group
Join with employee details to get employee info
I applied via Approached by Company and was interviewed in Dec 2024. There were 2 interview rounds.
I applied via Naukri.com and was interviewed in Sep 2024. There were 2 interview rounds.
I applied via LinkedIn and was interviewed in Aug 2024. There were 2 interview rounds.
One sql and one basic python dict question
I applied via Naukri.com and was interviewed in Sep 2024. There were 4 interview rounds.
Basic aptitude questions
Data structure and algorithms
posted on 4 Nov 2023
I applied via Naukri.com and was interviewed in Oct 2023. There were 2 interview rounds.
ETL pipeline on cloud involves extracting data from various sources, transforming it, and loading it into a cloud-based data warehouse.
Use cloud-based ETL tools like AWS Glue, Google Cloud Dataflow, or Azure Data Factory to extract, transform, and load data.
Design the pipeline to handle large volumes of data efficiently and securely.
Utilize serverless computing and auto-scaling capabilities of cloud platforms to optimi...
Data modelling techniques involve creating a visual representation of data relationships and structures.
Identifying entities and their relationships
Creating entity-relationship diagrams
Normalizing data to reduce redundancy
Using tools like ERwin, Visio, or Lucidchart
Implementing data models in databases
Data Warehouse implementation involves designing, building, and maintaining a centralized repository for storing and analyzing data.
Designing the data warehouse schema to meet business requirements
Extracting, transforming, and loading data from various sources into the warehouse
Implementing data quality processes to ensure accuracy and consistency
Creating data models and reports for analysis and decision-making
Optimizi...
posted on 17 Feb 2024
based on 2 interviews
Interview experience
based on 1 review
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Senior Associate
134
salaries
| ₹10 L/yr - ₹28.5 L/yr |
Associate
67
salaries
| ₹6 L/yr - ₹14.2 L/yr |
Senior Analyst
46
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| ₹4 L/yr - ₹10.2 L/yr |
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