Home/data engineer interview questions/Page 4
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
Describe the Snowflake Schema.
A Snowflake Schema is an extended model of the Star Schema, which adds new dimensions and resembles a snowflake. It divides data into extra tables by the normalization of the dimension tables.
A Snowflake Schema is an extended model of the Star Schema, which adds new dimensions and resembles a snowflake. It divides data into extra tables by the normalization of the dimension tables.
See lessWhat do you know about FSCK?
File System Check or FSCK is a command that HDFS leverages. This command checks inconsistencies and problems in files.
File System Check or FSCK is a command that HDFS leverages. This command checks inconsistencies and problems in files.
See lessHow is a big data solution deployed?
This is one of a few big data engineer interview questions you might encounter. Here’s how you can deploy a big-data solution: Combine data from many sources, including RDBMS, SAP, MySQL, and Salesforce. Save the extracted data in a NoSQL database or an HDFS file system. Utilize processing frameworkRead more
This is one of a few big data engineer interview questions you might encounter.
Here’s how you can deploy a big-data solution:
Describe the Star Schema.
A star schema, often known as a star join schema, is the most fundamental type of data warehouse model. It is called a star schema due to its structure. The Star Schema allows for numerous related dimension tables and one fact table in the star's center. This model is ideal for querying large data cRead more
A star schema, often known as a star join schema, is the most fundamental type of data warehouse model. It is called a star schema due to its structure. The Star Schema allows for numerous related dimension tables and one fact table in the star’s center. This model is ideal for querying large data collections.
See lessWhat does COSHH stand for?
COSHH stands for Classification and Optimization based Schedule for Heterogeneous Hadoop systems. It lets you schedule tasks at both application and cluster levels to save on task completion time.
COSHH stands for Classification and Optimization based Schedule for Heterogeneous Hadoop systems. It lets you schedule tasks at both application and cluster levels to save on task completion time.
See lessDescribe the attributes of Hadoop
The following are key attributes of Hadoop: Open-source, freeware framework Compatible with a wide range of hardware to simplify access to new hardware inside a given node Enables faster-distributed data processing Stores data in the cluster, separate from the other operations. Allows the creation oRead more
The following are key attributes of Hadoop:
What happens when Block Scanner finds a faulty data block?
First, DataNode alerts NameNode. Then, NameNode creates a new replica using the corrupted block as a starting point. The goal is to align the replication factor with the replication count of the proper replicas. If a match is discovered, the corrupted data block won't be removed.
First, DataNode alerts NameNode. Then, NameNode creates a new replica using the corrupted block as a starting point.
The goal is to align the replication factor with the replication count of the proper replicas. If a match is discovered, the corrupted data block won’t be removed.
See lessExplain HDFS’s Block and Block Scanner.
A block is the smallest data file component. Hadoop automatically divides large files into small workable segments. On the flip side, the Block Scanner verifies a DataNode's list of blocks.
A block is the smallest data file component. Hadoop automatically divides large files into small workable segments. On the flip side, the Block Scanner verifies a DataNode’s list of blocks.
See lessExpand on HDFS.
HDFS stands for Hadoop Distributed File System. This file system handles extensive data collection and runs on commodity hardware, i.e., inexpensive computer systems.
HDFS stands for Hadoop Distributed File System. This file system handles extensive data collection and runs on commodity hardware, i.e., inexpensive computer systems.
See lessDescribe streaming in Hadoop.
Streaming enables the construction of maps and reduces jobs and the submission of those jobs to a particular cluster.
Streaming enables the construction of maps and reduces jobs and the submission of those jobs to a particular cluster.
See less