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To productinize Data Pipelines, one must automate, monitor, and scale the pipeline for efficient and reliable data processing.
Automate the data pipeline using tools like Apache Airflow or Kubernetes
Monitor the pipeline for errors, latency, and data quality issues using monitoring tools like Prometheus or Grafana
Scale the pipeline by optimizing code, using distributed computing frameworks like Spark, and leveraging clou...
BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data.
BigQuery uses a distributed architecture to process and analyze large datasets quickly.
It allows users to run SQL-like queries on datasets stored in Google Cloud Storage.
BigQuery automatically scales to handle large amounts of data and can be integrated with other Google Cloud services.
It supports real-time data...
I applied via campus placement at The LNM Institute of information Technology, Jaipur and was interviewed in Nov 2024. There was 1 interview round.
I applied via Referral and was interviewed in Apr 2024. There were 2 interview rounds.
They are asking about SQL queries and BI dashboard knowledge
I am a data engineer with experience in BI dashboard development and overcoming challenges in the field.
I have worked on various data engineering projects, including building data pipelines and optimizing data storage.
One of my notable projects involved developing a real-time data processing system for a retail company, which improved their inventory management and sales forecasting.
In my previous role, I faced challen...
Answers to questions related to Data Models, ADF activities, and IR.
Data models are the representation of data structures and relationships between them.
ADF activities include data movement, data transformation, and control activities.
IR stands for Integration Runtime, which is a compute infrastructure used to provide data integration capabilities across different network environments.
I applied via Company Website and was interviewed in Aug 2024. There were 2 interview rounds.
It was Python coding and Sql query assessment round.
Joins are used to combine rows from two or more tables based on a related column between them.
Use JOIN keyword to combine tables based on a common column
Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN
Example: SELECT * FROM table1 INNER JOIN table2 ON table1.id = table2.id
Projects are specific tasks or assignments that require a set of skills and resources to complete.
Projects are temporary endeavors with a defined beginning and end.
They are unique, with specific goals, deliverables, and constraints.
Projects require a team of individuals with different roles and responsibilities.
Examples: Developing a data pipeline for real-time analytics, building a recommendation system for an e-comme
Advanced types of join include outer join, self join, and cross join.
Outer join: includes unmatched rows from one or both tables
Self join: joins a table with itself
Cross join: combines each row from one table with each row from another table
The WHERE clause is used to filter rows before grouping, while the HAVING clause is used to filter groups after grouping.
WHERE clause is used with SELECT, UPDATE, and DELETE statements.
HAVING clause is used with SELECT statements that include GROUP BY clause.
WHERE clause filters individual rows based on conditions.
HAVING clause filters groups based on conditions.
WHERE clause is applied before the GROUP BY clause.
HAVING...
Join combines rows from two or more tables based on a related column, while union combines rows from two or more tables into a single result set.
Join is used to combine rows from different tables based on a related column.
Union is used to combine rows from two or more tables into a single result set.
Join can be used with different types like inner join, left join, right join, etc.
Union only combines rows with the same ...
Python data structures are containers that hold and organize data in different ways.
Some common Python data structures are lists, tuples, sets, and dictionaries.
Lists are ordered and mutable, allowing duplicate elements.
Tuples are ordered and immutable, useful for storing related data together.
Sets are unordered and contain unique elements, useful for mathematical operations.
Dictionaries are key-value pairs, providing
They are asking about SQL queries and BI dashboard knowledge
Answers to questions related to Data Engineer role
Data models are the logical representation of data objects and their relationships
ADF activities include data movement, data transformation, and control activities
IR stands for Integration Runtime, which is a compute infrastructure used to provide data integration capabilities
I applied via LinkedIn and was interviewed before Feb 2023. There was 1 interview round.
I applied via campus placement at Jodhpur Institute of Engineering & Technology, Jodhpur and was interviewed before May 2023. There were 3 interview rounds.
Python and SQL coding
Celebal Technologies is a technology company specializing in data engineering and analytics solutions.
Celebal Technologies is known for providing data engineering and analytics solutions.
They offer services such as data integration, data warehousing, and data visualization.
Celebal Technologies works with clients across various industries to help them optimize their data processes.
They have expertise in technologies lik...
Celebal Technologies aims to provide innovative solutions using cutting-edge technologies to help businesses thrive in the digital age.
Developing advanced data analytics tools for businesses
Creating AI-driven solutions for automation and optimization
Offering consulting services for digital transformation
Empowering organizations with cloud computing and IoT solutions
I applied via Campus Placement and was interviewed before Mar 2023. There were 3 interview rounds.
2 SQL questions of joins, 3 DSA problems with easy-medium level difficulty, and 30+15 MCQs on Data Engineering fundamentals
Use bitwise operations to multiply two numbers without using '*' operator.
Use bitwise shift left operation to multiply a number by 2.
Add the result of shifting left n times for the second number.
Example: 3 * 5 = 3 << 2 + 3 = 12.
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