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OLAP is for analyzing data, OLTP is for transaction processing.
OLAP stands for Online Analytical Processing, used for complex queries and data analysis.
OLTP stands for Online Transaction Processing, used for routine transactions like insert, update, delete.
OLAP systems are designed for read-heavy workloads, while OLTP systems are designed for write-heavy workloads.
OLAP systems typically have a denormalized schema for f...
Star schema has a single centralized fact table with denormalized dimensions, while snowflake schema has normalized dimensions with multiple related tables.
Star schema is easier to understand and query due to denormalized structure.
Snowflake schema saves storage space by normalizing dimensions into separate tables.
Star schema is more suitable for data warehousing and reporting purposes.
Snowflake schema is more normaliz...
Abinito components are used in ETL processes for data integration and transformation.
Abinito components are used in ETL (Extract, Transform, Load) processes for data integration and transformation.
Some commonly used Abinito components include Input Table, Output Table, Join, Partition, Sort, Filter, and Lookup.
Abinito provides a graphical interface for designing ETL processes using these components.
Abinito components c...
I applied via Job Portal and was interviewed in Feb 2024. There were 2 interview rounds.
Aptitude test are basically asked from reasonable and patterns type questions.
Tooics are given from businesses and case study
Consisted of MCQs on Python and SQL
Case study on different aspects of analytics
I applied via Naukri.com and was interviewed before Sep 2023. There were 3 interview rounds.
Medium to difficult level
Python provides built-in libraries like json to handle JSON data easily.
Use json module to load and parse JSON data
Use json.dumps() to convert Python objects into JSON strings
Use json.loads() to convert JSON strings into Python objects
Test was very simple having 4 sql questions and 4 python questions. Total time given was 90 minutes.
Pyrhon questions was one liner code.
Sql questions was related to join, group by, where and order functions
I applied via LinkedIn and was interviewed before Aug 2021. There were 4 interview rounds.
A technical test for whatever technical round you are applying for. Will be conceptual test rather than hard/coded test
To derive % share in Power BI, use the 'Group By' function and create a measure using the 'Divide' function.
Use the 'Group By' function to group the data by the desired category
Create a measure using the 'Divide' function to calculate the percentage share
Add the measure to a visual to display the % share
Example: = DIVIDE(SUM(Sales[Revenue]), CALCULATE(SUM(Sales[Revenue]), ALL(Sales)))
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