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I applied via LinkedIn and was interviewed before Aug 2020. There were 3 interview rounds.
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Failed jobs can be reprocessed by identifying the root cause of failure, fixing the issue, and resubmitting the job.
Identify the reason for job failure by checking logs and error messages.
Fix the issue causing the failure, such as correcting code errors or resolving resource constraints.
Resubmit the job after making necessary changes to ensure successful processing.
Implement monitoring and alerting systems to proactive...
Data migration from on-premise to cloud involves transferring data from local servers to cloud-based storage systems.
Assess the current data infrastructure and identify the data to be migrated
Choose a suitable cloud storage solution based on requirements and budget
Plan the migration process including data extraction, transformation, and loading (ETL)
Test the migration process to ensure data integrity and security
Execut...
I applied via LinkedIn and was interviewed in Nov 2023. There were 5 interview rounds.
posted on 16 Oct 2022
I applied via Recruitment Consulltant and was interviewed before Oct 2021. There were 4 interview rounds.
There were 2 SQL queries based on rank function and count aggregation. 1 python program based on array.
Redshift is a cloud-based data warehousing solution by AWS. It uses columnar storage and massively parallel processing.
Redshift is based on PostgreSQL and uses SQL for querying data.
It uses columnar storage which is optimized for analytical queries.
Redshift is a massively parallel processing (MPP) system, which means it can distribute queries across multiple nodes for faster processing.
It uses key-based sharding to dis...
Sliding window technique is used to solve problems where we need to find a substring of a certain length in a larger string.
Define the window size and slide it over the string
Use two pointers to keep track of the start and end of the window
Examples: Maximum sum subarray of size K, Longest substring with K distinct characters
Design a data pipeline to display hourly activity on a smartwatch for the last 24 hours using SQL queries.
Create a table to store activity data with columns for timestamp and activity type.
Use a SQL query to aggregate activity data by hour for the last 24 hours.
Display the results on the smartwatch using a suitable visualization.
I applied via Naukri.com and was interviewed in Mar 2021. There was 1 interview round.
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