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Databricks Medallion Architecture is a cloud-based architecture for data processing and analytics.
Databricks Medallion Architecture is designed to handle large-scale data processing and analytics tasks in a distributed manner.
It leverages Apache Spark for processing data in-memory and provides a unified analytics platform for data scientists, engineers, and business users.
The architecture includes components like Datab...
Optimization methods in query help improve performance and efficiency.
Use indexes to speed up query execution
Avoid using SELECT * and only retrieve necessary columns
Optimize joins by using appropriate join types and conditions
Limit the number of rows returned using LIMIT or TOP clause
Use query execution plans to identify bottlenecks and optimize accordingly
Top trending discussions
I applied via Company Website and was interviewed before Jan 2020. There were 4 interview rounds.
We will implement a comprehensive digital strategy that includes automation, data analytics, and cloud computing.
Develop a roadmap for digital transformation
Identify key areas for automation and implement appropriate tools
Leverage data analytics to gain insights and improve decision-making
Migrate to cloud-based infrastructure for scalability and cost savings
Train employees on new technologies and processes
Continuously
Architectural methods involve understanding client requirements, analyzing site conditions, creating design concepts, and refining the solution.
Understand client's needs and preferences
Analyze site conditions and constraints
Create design concepts and present to client
Refine the solution based on feedback
Consider budget and timeline constraints
Collaborate with engineers and contractors
Ensure compliance with building cod
I applied via Naukri.com and was interviewed in Mar 2021. There was 1 interview round.
Cloud refers to the use of remote servers to store, manage, and process data instead of a local server or personal computer.
Cloud computing allows for on-demand access to shared computing resources
Data can be accessed from anywhere with an internet connection
Examples include Amazon Web Services, Microsoft Azure, and Google Cloud Platform
I applied via Referral and was interviewed before Aug 2021. There were 2 interview rounds.
To find resources on a server on premise, you can use various methods such as accessing the server directly, using command-line tools, or utilizing server management software.
Access the server directly and navigate through its file system to locate the resources.
Use command-line tools like 'ls' or 'dir' to list the files and directories on the server.
Utilize server management software that provides a graphical interfac...
I applied via Job Portal and was interviewed before Aug 2022. There were 3 interview rounds.
I applied via Naukri.com and was interviewed in Jul 2021. There was 1 interview round.
Factors considered while choosing automation tool
Compatibility with the technology stack
Ease of use and learning curve
Scalability and flexibility
Integration with other tools
Cost and licensing
Support and community
Reporting and analytics capabilities
A tool is better than another if it is more efficient, effective, and user-friendly.
Efficiency: A tool that can perform a task faster and with less effort is better.
Effectiveness: A tool that can produce better results is better.
User-friendliness: A tool that is easy to use and understand is better.
Examples: A hammer is better than a rock for driving nails. A power drill is better than a manual screwdriver for drilling
I applied via LinkedIn and was interviewed in Sep 2024. There were 2 interview rounds.
Basic situational based question
I applied via Recruitment Consultant and was interviewed in Aug 2020. There were 5 interview rounds.
Designing test data content for different flavors of DB
Identify the data types and structures for each DB flavor
Create test data that covers all possible scenarios and edge cases
Ensure data consistency and accuracy across all DB flavors
Consider performance and scalability factors for distributed DBs
Include mainframe-specific data such as EBCDIC encoding and packed decimal formats
New technologies of DBMS are constantly emerging to improve data management and analysis.
New SQL databases like CockroachDB and TiDB are gaining popularity for their scalability and distributed architecture.
NoSQL databases like MongoDB and Cassandra are widely used for their flexibility and ability to handle unstructured data.
Graph databases like Neo4j and OrientDB are becoming popular for their ability to handle compl...
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