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London Stock Exchange Group
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I applied via Referral and was interviewed in Oct 2023. There were 2 interview rounds.
Data can be loaded from JSON using Snowflake's COPY INTO command.
Use the COPY INTO command in Snowflake to load data from JSON files.
Specify the file format as JSON in the COPY INTO command.
Map the JSON attributes to the columns in the target table.
Example: COPY INTO target_table FROM 's3://bucket_name/file.json' FILE_FORMAT = (TYPE = 'JSON');
Performance tuning options in Snowflake include clustering, materialized views, query profiling, and resource monitoring.
Use clustering keys to organize data for faster query performance
Create materialized views to pre-aggregate data and improve query speed
Utilize query profiling to identify and optimize slow queries
Monitor resource usage to ensure efficient query execution
Snowpipe is configured using a Snowflake account, specifying the source data location and the target table.
Configure a stage in Snowflake to specify the source data location.
Create a pipe in Snowflake to define the target table and the stage.
Set up notifications for the pipe to trigger loading data automatically.
Monitor the pipe for any errors or issues in data loading.
Example: CREATE STAGE my_stage URL = 's3://my_buck...
Various data modelling techniques like dimensional modelling, ER modelling, and data vault are used.
Dimensional modelling is used for data warehousing and involves organizing data into facts and dimensions.
ER modelling is used to visualize the data relationships in an entity-relationship diagram.
Data vault modelling is used for agile data warehousing and involves creating a flexible and scalable data model.
Streams in Snowflake are used to continuously replicate data from a table to another destination in real-time.
Streams capture changes made to a table, such as inserts, updates, and deletes.
They can be used to track changes and replicate data to other tables or external systems.
Streams are created on a specific table and can be monitored for changes using SQL commands.
posted on 17 Feb 2024
posted on 3 Mar 2023
I applied via Walk-in and was interviewed in Feb 2023. There were 2 interview rounds.
We started with our friends who is Business associate of Motilal Oswal finance services and those 2 friends are take brokership of financial firm, I was already there as a Tech Guy and Reasearcher for Stock Market and Fundamental Analytics , conducted more than 100 stocks analysis to advise clients to reduce the risk.
I applied via Recruitment Consulltant and was interviewed before May 2023. There were 2 interview rounds.
Machine learning algorithms are used to analyze data and make predictions or decisions without being explicitly programmed.
Machine learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.
Examples of machine learning algorithms include linear regression, decision trees, support vector machines, and neural networks.
These algorithms learn from data to improve their performance over...
posted on 20 Jan 2023
I was interviewed in Jul 2022.
I applied via Company Website and was interviewed in Apr 2022. There were 3 interview rounds.
posted on 7 Feb 2022
I applied via Referral and was interviewed in Aug 2021. There were 2 interview rounds.
They shared one link for online test according to our Profile. If we cleared that test then we will get call from HR for 1 Technical round. In Technical round, it was started with my previous project discussion and questions where asked on that one and some scenerio based Questions on my profile, it went for almost an hour.After a week I got invitation for 2 nd round where it is combination of Technical and Managerial. It went for almost 45 mins, he mainly focused on how I react when tough situations comes in Ops area
I applied via Naukri.com and was interviewed in Jan 2021. There were 3 interview rounds.
Yes, I have worked on customer segmentation.
I have used clustering algorithms like K-means and hierarchical clustering to segment customers based on their behavior and demographics.
I have also used decision trees and random forests to identify the most important features for segmentation.
I have experience with both supervised and unsupervised learning techniques for customer segmentation.
I have worked on projects where...
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