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Big data refers to large and complex data sets that are difficult to process using traditional data processing applications.
Big data involves large volumes of data
It includes data from various sources such as social media, sensors, and business transactions
Big data requires specialized tools and technologies for processing and analysis
Spark is a distributed computing framework that processes big data in memory and is known for its speed and ease of use.
Spark is a distributed computing framework that can process data in memory for faster processing.
It uses Resilient Distributed Datasets (RDDs) for fault-tolerant distributed data processing.
Spark provides high-level APIs in Java, Scala, Python, and R for ease of use.
It supports various data sources li...
Our application is a data engineering platform that processes and analyzes large volumes of data to provide valuable insights.
Our application uses various data processing techniques such as ETL (Extract, Transform, Load) to clean and transform raw data into usable formats.
We utilize big data technologies like Hadoop, Spark, and Kafka to handle large datasets efficiently.
The application also includes machine learning al...
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I applied via Company Website and was interviewed in Oct 2024. There were 4 interview rounds.
Basic Python, SQL, and Bash questions
Data pipeline design involves creating a system to efficiently collect, process, and analyze data.
Understand the data sources and requirements before designing the pipeline.
Use tools like Apache Kafka, Apache NiFi, or AWS Glue for data ingestion and processing.
Implement data validation and error handling mechanisms to ensure data quality.
Consider scalability and performance optimization while designing the pipeline.
Doc...
posted on 9 Oct 2024
posted on 27 Nov 2024
Karat Interview for next filtering the candidate
Design a classic Snake game based on Nokia phones.
Use a 2D array to represent the game board.
Implement logic for snake movement and growth.
Include collision detection with walls and itself.
Add food items for the snake to eat and grow.
Display the game on a grid-based interface.
I applied via Campus Placement and was interviewed in Jul 2024. There were 2 interview rounds.
58 question, basic aptitude with topics like ratio and proportion, 3d geometry.
3 coding questions with 5 mins each to solve, easy questions like given a list with duplicate elements return the same list with unique elements.
A Python list is implemented as a dynamic array that can resize itself as needed.
Python lists are implemented as dynamic arrays, allowing for efficient insertion and deletion operations.
Lists in Python can hold elements of different data types.
Lists can be accessed using index values, starting from 0.
Example: my_list = [1, 'hello', True]
I interned at a tech startup where I worked on developing a new mobile app.
Developed new features for the mobile app
Collaborated with the design team to improve user experience
Participated in code reviews and testing
Attended team meetings and brainstorming sessions
In 5 years, I see myself as a senior software engineer leading a team of developers on innovative projects.
Leading a team of developers on innovative projects
Advancing to a senior software engineer role
Continuing to learn and grow in the field of software engineering
I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.
posted on 15 Jul 2024
It was about 45mins aptitude test .
posted on 9 Aug 2024
2 DSA qns on codility
Graphs are data structures that consist of nodes and edges connecting them.
Graphs can be directed or undirected.
Common graph traversal algorithms include BFS and DFS.
Examples of graphs include social networks, road networks, and computer networks.
90 mins, Graph, DP easy to medium level questions to be completed in 90 mins
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