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SSIS is a Microsoft tool used for ETL processes in data integration and data warehousing.
SSIS stands for SQL Server Integration Services
It is used for extracting, transforming, and loading data from various sources to destinations
SSIS can be used for automating workflows, data cleansing, and data migration tasks
It provides a visual interface for designing data flow tasks and control flow tasks
Example: Using SSIS to ext...
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
ETL Developers are responsible for designing, developing, and maintaining ETL processes to extract, transform, and load data from various sources into a data warehouse.
Designing ETL processes to extract data from multiple sources
Transforming data to meet business requirements
Loading data into a data warehouse or other target systems
Developing and maintaining ETL jobs using tools like Informatica, Talend, or SSIS
SCD Type 1 in IICS involves overwriting existing data with new data without maintaining historical changes.
In IICS, use the Mapping Designer to create a mapping that loads data from source to target.
Use a Lookup transformation to check if the record already exists in the target table.
If the record exists, update the existing record with new data using an Update Strategy transformation.
If the record does not exist, inse...
I was interviewed in Jun 2024.
I applied via Recruitment Consulltant and was interviewed in Jan 2024. There was 1 interview round.
Lookups are used to retrieve related data from another table based on a common key.
Lookups are used in ETL processes to enrich data by adding additional information from a reference table.
They are commonly used to replace codes with corresponding descriptions, such as replacing product IDs with product names.
Lookups can be performed using SQL joins or lookup transformations in ETL tools like Informatica or Talend.
Asked some problem solving questions they will allow to choose the language it's good
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 LinkedIn and was interviewed in Aug 2022. There was 1 interview round.
Mapping is the process of defining the relationship between source and target data in ETL.
Mapping involves identifying the source and target data structures.
It also involves defining the transformation rules to be applied to the source data.
Mappings can be simple or complex depending on the complexity of the data.
Mapping is a critical step in ETL as it determines the accuracy and completeness of the data in the target
Session refers to a period of time during which a user interacts with a computer system or application.
A session is created when a user logs into a system or application.
It is used to track user activity and maintain user-specific data.
Sessions can be terminated manually or automatically after a certain period of inactivity.
Session management is important for security purposes.
Examples of session management techniques
I applied via Referral and was interviewed before Jun 2023. There was 1 interview round.
Initial load in ETL refers to the process of loading data from source systems into the data warehouse for the first time.
Initial load is typically a one-time process to populate the data warehouse with historical data.
It involves extracting data from source systems, transforming it as needed, and loading it into the data warehouse.
Initial load is often done using bulk loading techniques to efficiently transfer large vo...
Cluster index physically orders the data on disk, while non-cluster index does not.
Cluster index physically orders the data on disk based on the indexed column
Non-cluster index does not physically order the data on disk
Cluster index can only have one per table, while non-cluster index can have multiple
Cluster index is faster for retrieval but slower for inserts and updates
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