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What is Predictive Analytics?

Predictive analytics refers to the use of statistical techniques and machine learning algorithms to analyze historical data and predict future trends. It is widely applied in finance, healthcare, marketing, and risk management for data-driven decision-making.

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 masking
Data masking is a security technique that replaces real data with fictitious yet structurally similar data to prevent unauthorized access while maintaining usability. It is widely used in testing, analytics, and compliance processes to protect sensitive data such as personally identifiable information (PII) and financial records.
Genetic privacy
Genetic privacy refers to the protection of an individual’s genomic data from unauthorized access, misuse, or exploitation. Privacy laws and ethical guidelines regulate how genetic data is collected, stored, and shared in medical research, ancestry testing, and law enforcement applications to prevent discrimination and ensure data security.

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