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Validation of data between source and target is a crucial step in ETL process.
Compare the data types and formats of source and target data
Check for missing or extra data in target
Verify data transformation rules are applied correctly
Perform data profiling to identify anomalies
Use checksums or hash values to ensure data integrity
Validation of BI reports involves verifying data accuracy, completeness, and consistency.
Verify data accuracy by comparing with source systems
Ensure completeness by checking all expected data is present
Check consistency by comparing with historical data or benchmarks
Validate calculations and aggregations
Test report functionality and user experience
posted on 28 Sep 2024
I applied via Campus Placement and was interviewed in Aug 2024. There were 8 interview rounds.
Database Management system SQL and PlSQL
Database Base Management system SQL and PlSQL
Database Management system
Database Management system
Database Management system
Database Management system
Database Base Management system
I joined inm because of the company's reputation for innovation and growth in the tech industry.
Attracted to company's reputation for innovation
Excited about opportunities for growth in tech industry
Impressed by company culture and values
I applied via Recruitment Consulltant and was interviewed in Feb 2024. There was 1 interview round.
Filter stage is used in ETL processes to selectively pass or reject data based on specified criteria.
Filter stage helps in removing unwanted data from the input dataset.
It can be used to apply conditions like filtering out duplicate records, selecting specific columns, or excluding certain values.
For example, a filter stage can be used to only pass records where the sales amount is greater than $1000.
Transform stage is used in ETL process to apply business rules, clean and enrich data before loading into target database.
Transform stage is used to apply business rules to the data.
It is used to clean and standardize data before loading into the target database.
Transform stage can also be used to enrich data by combining multiple sources or adding calculated fields.
Examples include converting data types, removing dupl
Sort stage is used in ETL processes to sort data based on specified criteria before loading it into the target system.
Sort stage helps in arranging data in a specific order for better analysis and reporting
It can be used to remove duplicates from data before loading
Sorting can be done based on multiple columns or expressions
Example: Sorting customer data based on their purchase amount before loading into a data warehou
To create a parallel job, use parallel processing techniques to divide tasks into smaller subtasks that can be executed simultaneously.
Identify tasks that can be executed independently and in parallel
Use parallel processing techniques such as multi-threading or distributed computing
Implement parallel job using ETL tools like Informatica or Talend
Monitor and optimize parallel job performance to ensure efficient executio
SCD stands for Slowly Changing Dimension, a technique used in data warehousing to track changes in dimension attributes over time.
SCD is used to maintain historical data in a data warehouse
There are different types of SCDs - Type 1, Type 2, and Type 3
Type 1 SCD overwrites old data with new data
Type 2 SCD creates a new record for each change and maintains history
Type 3 SCD keeps a limited history by adding columns to tr
I applied via Referral and was interviewed in Dec 2023. There were 4 interview rounds.
Active transformations change the number of rows that pass through them, while passive transformations do not change the number of rows.
Active transformations can filter, update, or modify the number of rows in a data stream (e.g. Filter, Router, Update Strategy).
Passive transformations do not change the number of rows in a data stream, they only allow data to pass through unchanged (e.g. Expression, Lookup, Sequence G
Different types of lookup caches include persistent cache, dynamic cache, and shared cache.
Persistent cache stores lookup data in a flat file or database table for reuse across sessions.
Dynamic cache dynamically loads lookup data into memory as needed during a session.
Shared cache allows multiple sessions to share the same cache for improved performance.
Filter is used to pass or reject data based on conditions, while router is used to route data to different targets based on conditions.
Filter is used to include or exclude data based on specified conditions.
Router is used to direct data to different targets based on specified conditions.
Filter is typically used to remove unwanted data, while router is used to split data flow.
Example: Using filter to exclude records wit...
I applied via Naukri.com and was interviewed in Jun 2024. There was 1 interview round.
Informatica is a popular ETL tool used for data integration and transformation. It has built-in functions to handle date operations.
Informatica is a powerful ETL tool used for extracting, transforming, and loading data.
It provides a variety of built-in functions for handling date operations such as date calculations, formatting, and conversions.
Examples of date functions in Informatica include TO_DATE, TO_CHAR, ADD_TO_
I applied via Approached by Company and was interviewed in Jun 2024. There was 1 interview round.
posted on 9 Sep 2024
Experienced Oracle DBA with 5+ years of hands-on experience in managing databases, optimizing performance, and ensuring data security.
5+ years of experience as an Oracle DBA
Proficient in database management, performance optimization, and data security
Skilled in troubleshooting and resolving database issues
Strong knowledge of Oracle database architecture and SQL
Certified Oracle Database Administrator (OCA/OCP)
I applied via Recruitment Consulltant and was interviewed in Jan 2024. There was 1 interview round.
Asked some problem solving questions they will allow to choose the language it's good
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