Remove Big Data Tools Remove Metadata Remove Structured Data
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50 PySpark Interview Questions and Answers For 2025

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We can store the data and metadata in a checkpointing directory. If there’s a failure, the spark may retrieve this data and resume where it left off. In Spark, checkpointing may be used for the following data categories- Metadata checkpointing: Metadata rmeans information about information.

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100 Data Modelling Interview Questions To Prepare For In 2025

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What is metadata and why is it important? Metadata is data-related information that identifies the type of data stored in the system and its purpose and intended audience. Business Metadata- This data is business-specific and identifies data rights, business norms and standards, policies, and so on.

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Data Lake vs Data Warehouse - Working Together in the Cloud

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This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data from data warehouses is queried using SQL.

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A Deep Dive into Hive Architecture for Big Data Projects

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According to Reports, the real-world adoption of Apache Hive as a Data Warehousing tool has surged, with over 4412 companies worldwide, with 58.47% in the U.S., These statistics underscore the global significance of Hive as a critical component in the arsenal of big data tools.

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100+ Big Data Interview Questions and Answers 2025

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Data Variety Hadoop stores structured, semi-structured and unstructured data. RDBMS stores structured data. Data storage Hadoop stores large data sets. RDBMS stores the average amount of data. The end of a data block points to the location of the next chunk of data blocks.

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Top Hadoop Projects for Beginners in 2025

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The dataset consists of metadata and audio features for 1M contemporary and popular songs. The challenging aspect of this big data hadoop project is to decide on what features need to be used to calculate the song similarity because there is lots of metadata for each song. Implementing a Big Data project on AWS.

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10+ Real-Time Azure Project Ideas for Beginners to Practice [2025]

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Starting with setting up an Azure Virtual Machine, you'll install necessary big data tools and configure Flume agents for log data ingestion. Utilizing Spark for data processing and Hive for querying, you'll develop a comprehensive understanding of real-time log analysis in a cloud environment.​