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SQL explain is a command used to analyze and optimize the execution plan of a SQL query.
SQL explain provides information on how the database engine executes a query
It shows the steps involved in processing the query and the order in which they are executed
The output of SQL explain helps in identifying potential performance bottlenecks and optimizing the query
Example: EXPLAIN SELECT * FROM table_name WHERE column_name =
Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making.
Data analysis involves examining raw data to find patterns, trends, and insights.
It includes cleaning and organizing data to ensure accuracy and reliability.
Statistical methods and tools are used to analyze data and make predictions.
Data visualization techni...
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posted on 30 May 2024
I applied via Campus Placement and was interviewed in Dec 2023. There were 2 interview rounds.
30 questions on critical thinking, reasoning
posted on 22 Aug 2023
I applied via Naukri.com and was interviewed in Jun 2022. There were 4 interview rounds.
Data mining involves discovering patterns and relationships in large datasets, while data analysis focuses on interpreting and drawing insights from data.
Data mining is the process of extracting useful information from large datasets.
Data analysis involves examining and interpreting data to draw conclusions and make informed decisions.
Data mining uses techniques like clustering, classification, and association to disco...
Data validation is the process of ensuring that data is accurate, complete, and consistent.
Data validation involves checking data for errors, inconsistencies, and anomalies.
It helps to ensure data quality and reliability.
Validation can be done through various techniques such as range checks, format checks, and cross-field validation.
Examples of data validation include verifying that a phone number has the correct numbe...
Data analysis involves several steps including data collection, data cleaning, data exploration, data modeling, and data visualization.
Data collection: Gathering relevant data from various sources.
Data cleaning: Removing any errors, inconsistencies, or missing values from the data.
Data exploration: Analyzing the data to understand its characteristics and identify patterns or trends.
Data modeling: Applying statistical o...
Data cleansing is the process of identifying and correcting or removing errors, inconsistencies, and inaccuracies in datasets.
Data cleansing involves identifying and handling missing values in datasets.
It also includes removing duplicate records or entries.
Data cleansing may involve correcting spelling mistakes or formatting issues in data.
It helps improve data quality and reliability for analysis and decision-making.
E...
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I was interviewed before Oct 2023.
posted on 18 Mar 2024
I applied via Referral and was interviewed in Feb 2024. There was 1 interview round.
ABOUT YOURSELF ABOUT BUISNESS AND SOME LOAN RELATED QUESTIONS ETC
posted on 26 Oct 2023
I applied via Naukri.com and was interviewed in Sep 2023. There were 3 interview rounds.
It was good experience as a. Fresher
posted on 7 Aug 2024
A tuple is an immutable collection of elements, while a list is a mutable collection in Python.
Tuples are created using parentheses (), while lists are created using square brackets []
Tuples are immutable, meaning their elements cannot be changed once defined
Lists are mutable, allowing for elements to be added, removed, or modified
Tuples are typically used for fixed collections of items, while lists are used for dynami
posted on 22 Aug 2023
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Patent Associate
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salaries
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Business Development Manager
4
salaries
| ₹7 L/yr - ₹7 L/yr |
Senior Patent Associate
4
salaries
| ₹3.2 L/yr - ₹6 L/yr |
Bajaj Finserv
Wells Fargo
JPMorgan Chase & Co.
HSBC Group