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Home/data engineer interview questions/Page 4
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  1. Asked: November 21, 2022In: Data Engineer Interview Questions

    Describe the Snowflake Schema.

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    Added an answer on November 21, 2022 at 2:48 pm

    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.

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  2. Asked: November 21, 2022In: Data Engineer Interview Questions

    What do you know about FSCK?

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    Added an answer on November 21, 2022 at 2:46 pm

    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.

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  3. Asked: November 21, 2022In: Data Engineer Interview Questions

    How is a big data solution deployed?

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    Added an answer on November 21, 2022 at 2:46 pm

    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:

    • 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 frameworks like Pig, Spark, and MapReduce to deploy a big data solution.
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  4. Asked: November 21, 2022In: Data Engineer Interview Questions

    Describe the Star Schema.

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    Added an answer on November 21, 2022 at 2:45 pm

    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.

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  5. Asked: November 21, 2022In: Data Engineer Interview Questions

    What does COSHH stand for?

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    Added an answer on November 21, 2022 at 2:44 pm

    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.

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  6. Asked: November 21, 2022In: Data Engineer Interview Questions

    Describe the attributes of Hadoop

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    Added an answer on November 21, 2022 at 2:43 pm

    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:

    • 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 of three replicas for each block using various nodes.
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  7. Asked: November 21, 2022In: Data Engineer Interview Questions

    What happens when Block Scanner finds a faulty data block?

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    Added an answer on November 21, 2022 at 2:42 pm

    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.

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  8. Asked: November 21, 2022In: Data Engineer Interview Questions

    Explain HDFS’s Block and Block Scanner.

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    Added an answer on November 21, 2022 at 2:42 pm

    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.

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  9. Asked: November 21, 2022In: Data Engineer Interview Questions

    Expand on HDFS.

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    Added an answer on November 21, 2022 at 2:41 pm

    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.

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  10. Asked: November 21, 2022In: Data Engineer Interview Questions

    Describe streaming in Hadoop.

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    Added an answer on November 21, 2022 at 2:40 pm

    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.

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