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What is Data?

Data is raw information that can be structured, semi-structured, or unstructured. It serves as the foundation for analytics, machine learning, and decision-making. Effective data management includes storage, processing, security, and governance strategies to maximize data's value in various applications.

Tabular Data
Tabular Data is structured information organized in tables, typically found in spreadsheets and relational databases. It is widely used in business intelligence, financial analysis, and machine learning models that rely on structured datasets.
Apache HBase
Apache HBase is an open-source, distributed NoSQL database that operates within the Apache Hadoop ecosystem. Modeled after Google Bigtable, HBase is optimized for real-time read and write operations on massive structured datasets. It supports horizontal scalability, allowing it to handle petabyte-scale data efficiently. Running on HDFS (Hadoop Distributed File System), it employs a column-oriented storage model to enhance data retrieval efficiency. Key use cases include real-time analytics, log data storage, IoT data management, and social networking applications.
Data Architecture
Data architecture refers to the framework and design principles that govern how data is collected, stored, managed, and used within an organization. It includes data models, storage solutions, integration pipelines, and governance strategies to ensure data accessibility, consistency, and security. Effective data architecture supports business intelligence, analytics, and AI-driven decision-making, incorporating technologies such as data lakes, warehouses, and real-time streaming platforms.

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