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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...
Questions related to Spark internals, Tungsten project, and SQL problem for retail transactions.
Spark's internal mechanism includes components like Spark Core, Spark SQL, Spark Streaming, and MLlib.
Tungsten project in Spark aims to improve the performance of Spark by optimizing memory usage and CPU utilization.
To solve the SQL problem, we can use a query to filter transactions for a particular retail and then use the '...
I applied via Naukri.com and was interviewed before Mar 2023. There were 4 interview rounds.
Hackerrank test with medium level DSA and SQL questions
Big data optimisation techniques involve strategies to improve the performance and efficiency of processing large volumes of data.
Use of distributed computing frameworks like Hadoop and Spark to process data in parallel
Implementing data compression techniques to reduce storage requirements
Utilizing indexing and partitioning to optimize query performance
Applying data pruning and filtering to reduce unnecessary data proc...
I applied via Campus Placement and was interviewed before Jun 2023. There were 3 interview rounds.
1 hr medium level DSA questions
DFS (Depth First Search) is a traversal algorithm used in tree data structures to explore as far as possible along each branch before backtracking.
DFS starts at the root node and explores as far as possible along each branch before backtracking.
It uses a stack to keep track of nodes to visit next.
DFS can be implemented recursively or iteratively.
Example: In a binary tree, DFS would visit the left child of a node before
SQL normalisation types include 1NF, 2NF, 3NF, BCNF, and 4NF, each with specific rules for eliminating data redundancy.
1NF (First Normal Form) - Each column in a table must contain atomic values, and there should be no repeating groups.
2NF (Second Normal Form) - Table should be in 1NF and all non-key attributes should be fully functionally dependent on the primary key.
3NF (Third Normal Form) - Table should be in 2NF an...
I am open to opportunities in various locations, depending on the job offer and company culture.
Open to relocation for the right opportunity
Prefer locations with good work-life balance
Interested in cities with strong tech communities
I was interviewed in Nov 2020.
I applied via Walk-in and was interviewed before Feb 2020. There was 1 interview round.
I applied via Recruitment Consultant and was interviewed before Nov 2020. There were 3 interview rounds.
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