Analytics Y1 2.1 Data Lifecycle Management Essentials

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Key terms for managing data through its lifecycle.

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Muhammad Asif

Reino Unido

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Crucigrama Analytics Y1 2.1 Data Lifecycle Management EssentialsVersión en línea Key terms for managing data through its lifecycle. por Muhammad Asif 1 The act of establishing policies and controls to guide data handling. 2 Policy-driven keeping period for data before disposal. 3 Process of moving inactive data to long-term storage. 4 Copying data to recover information after loss. 5 Labeling data by sensitivity or business value. 6 Transforming data into unreadable form to protect privacy. 7 Ensuring accuracy and consistency of data over time. 8 Adhering to laws, regulations, and internal standards. 3 4 8 6 1 5 7 2 1 Process of encoding data to prevent unauthorized access. 2 Mechanism that restricts who may view or modify resources. 3 Protection of information from unauthorized disclosure. 4 Accuracy and consistency of information over time. 5 Ensuring authorized users can retrieve resources when needed. 6 Record documenting changes and events for verification. 7 Copy of data kept for recovery after loss. 8 Duplication of components to maintain service during failures. 4 2 5 1 8 6 3 1 Process of taking in data from sources for processing and storage. 2 Checking data against rules, types, and formats. 3 Blueprint describing data organization and types. 4 Policy-driven placement of data based on access frequency. 5 Policy that defines how long data is kept. 6 Framework of policies and controls over data usage. 7 Process of removing or masking personal identifiers. 8 Secure removal of data to prevent recovery. 3 1 6 7 4 2 8 1 The rules governing data handling. 2 The duration data is kept before deletion. 3 Use of machines and software to perform tasks without human input. 4 Assigning data into categories based on sensitivity or type. 5 Moving data between storage locations or tiers. 6 Connecting systems to work together under a common framework. 7 Oversight ensuring policies, controls, and compliance. 8 Adherence to legal, regulatory, and internal requirements. 8 7 5 3 2 4

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Analytics Y1 2.1 Data Lifecycle Management EssentialsVersión en línea

Key terms for managing data through its lifecycle.

por Muhammad Asif

The act of establishing policies and controls to guide data handling.

Policy-driven keeping period for data before disposal.

Process of moving inactive data to long-term storage.

Copying data to recover information after loss.

Labeling data by sensitivity or business value.

Transforming data into unreadable form to protect privacy.

Ensuring accuracy and consistency of data over time.

Adhering to laws, regulations, and internal standards.

Process of encoding data to prevent unauthorized access.

Mechanism that restricts who may view or modify resources.

Protection of information from unauthorized disclosure.

Accuracy and consistency of information over time.

Ensuring authorized users can retrieve resources when needed.

Record documenting changes and events for verification.

Copy of data kept for recovery after loss.

Duplication of components to maintain service during failures.

Process of taking in data from sources for processing and storage.

Checking data against rules, types, and formats.

Blueprint describing data organization and types.

Policy-driven placement of data based on access frequency.

Policy that defines how long data is kept.

Framework of policies and controls over data usage.

Process of removing or masking personal identifiers.

Secure removal of data to prevent recovery.

The rules governing data handling.

The duration data is kept before deletion.

Use of machines and software to perform tasks without human input.

Assigning data into categories based on sensitivity or type.

Moving data between storage locations or tiers.

Connecting systems to work together under a common framework.

Oversight ensuring policies, controls, and compliance.

Adherence to legal, regulatory, and internal requirements.

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Analytics Y1 2.1 Data Lifecycle Management Essentials

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Analytics Y1 2.1 Data Lifecycle Management EssentialsVersión en línea

por Muhammad Asif

The act of establishing policies and controls to guide data handling.

Policy-driven keeping period for data before disposal.

Process of moving inactive data to long-term storage.

Copying data to recover information after loss.

Labeling data by sensitivity or business value.

Transforming data into unreadable form to protect privacy.

Ensuring accuracy and consistency of data over time.

Adhering to laws, regulations, and internal standards.

Process of encoding data to prevent unauthorized access.

Mechanism that restricts who may view or modify resources.

Protection of information from unauthorized disclosure.

Accuracy and consistency of information over time.

Ensuring authorized users can retrieve resources when needed.

Record documenting changes and events for verification.

Copy of data kept for recovery after loss.

Duplication of components to maintain service during failures.

Process of taking in data from sources for processing and storage.

Checking data against rules, types, and formats.

Blueprint describing data organization and types.

Policy-driven placement of data based on access frequency.

Policy that defines how long data is kept.

Framework of policies and controls over data usage.

Process of removing or masking personal identifiers.

Secure removal of data to prevent recovery.

The rules governing data handling.

The duration data is kept before deletion.

Use of machines and software to perform tasks without human input.

Assigning data into categories based on sensitivity or type.

Moving data between storage locations or tiers.

Connecting systems to work together under a common framework.

Oversight ensuring policies, controls, and compliance.

Adherence to legal, regulatory, and internal requirements.