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Celebal Technologies
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I applied via Campus Placement and was interviewed before Jul 2020. There was 1 interview round.
I applied via Walk-in and was interviewed before Feb 2020. There was 1 interview round.
I applied via Other and was interviewed before Nov 2020. There was 1 interview round.
Big data refers to large and complex data sets that cannot be processed using traditional data processing tools.
Big data is characterized by the 3Vs - volume, velocity, and variety.
It requires specialized tools and technologies such as Hadoop, Spark, and NoSQL databases.
Big data is used in various industries such as healthcare, finance, and retail to gain insights and make data-driven decisions.
Spark has a master-slave architecture with a cluster manager and worker nodes.
Spark has a driver program that communicates with a cluster manager to allocate resources and schedule tasks.
The cluster manager can be standalone, Mesos, or YARN.
Worker nodes execute tasks and store data in memory or on disk.
Spark can also utilize external data sources like Hadoop Distributed File System (HDFS) or Amazon S3.
Spark supports va...
I applied via Naukri.com and was interviewed in Dec 2024. There were 2 interview rounds.
It was well designed
I applied via Campus Placement and was interviewed before Dec 2023. There were 3 interview rounds.
It was a basic aptitude test.
I am a data engineer with a strong background in programming and database management.
Experienced in designing and implementing data pipelines
Proficient in SQL, Python, and ETL tools
Skilled in data modeling and optimization
Worked on projects involving big data technologies like Hadoop and Spark
Factors to consider when designing a road curve
Radius of the curve
Speed limit of the road
Banking of the curve
Visibility around the curve
Traffic volume on the road
Road surface conditions
Presence of obstacles or hazards
Environmental factors such as weather conditions
Developed a real-time data processing system for analyzing customer behavior
Used Apache Kafka for real-time data streaming
Implemented data pipelines using Apache Spark for processing large volumes of data
Utilized machine learning algorithms to predict customer behavior
Designed and maintained data warehouse for storing and querying processed data
Experienced Data Engineer with a background in computer science and a passion for solving complex problems.
Bachelor's degree in Computer Science
Proficient in programming languages such as Python, SQL, and Java
Experience with big data technologies like Hadoop and Spark
Strong analytical and problem-solving skills
Worked on projects involving data pipelines, ETL processes, and data warehousing
My hobbies include hiking, photography, and playing the guitar.
Hiking: I enjoy exploring nature trails and challenging myself with different terrains.
Photography: I love capturing moments and landscapes through my camera lens.
Playing the guitar: I find relaxation and creativity in strumming chords and learning new songs.
My favorite movie is The Shawshank Redemption.
Directed by Frank Darabont
Based on a Stephen King novella
Themes of hope, friendship, and redemption
Critically acclaimed and considered one of the greatest films of all time
I applied via Naukri.com and was interviewed in Jun 2022. There were 2 interview rounds.
I applied via Naukri.com and was interviewed in May 2021. There were 3 interview rounds.
Python dataframes are used to organize and manipulate data in a tabular format.
Dataframes are created using the pandas library in Python.
They allow for easy manipulation of data, such as filtering, sorting, and grouping.
Dataframes can be used in various projects, such as data analysis, machine learning, and data visualization.
Examples of using dataframes include analyzing sales data, predicting customer behavior, and v
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