Remove Bytes Remove Data Storage Remove Metadata Remove Structured Data
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Snowflake Architecture and It's Fundamental Concepts

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Source: Snowflake.com The Snowflake data warehouse architecture has three layers - Database Storage Layer Query Processing Layer Cloud Services Layer Database Storage Layer The database storage layer of the Snowflake architecture divides the data into numerous tiny partitions, optimized and compressed internally.

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100+ Big Data Interview Questions and Answers 2023

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There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Variety Hadoop stores structured, semi-structured and unstructured data.

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50 PySpark Interview Questions and Answers For 2023

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StructType is a collection of StructField objects that determines column name, column data type, field nullability, and metadata. PySpark imports the StructType class from pyspark.sql.types to describe the DataFrame's structure. Spark saves data in memory (RAM), making data retrieval quicker and faster when needed.

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Top 100 Hadoop Interview Questions and Answers 2023

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Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

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