Lesson 2: Data Life Cycle
40 Questions
6 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

Which element is part of technical metadata?

  • Source of the data
  • Business definition
  • Meaning
  • Mapping (correct)

What is NOT a characteristic of business metadata?

  • Size of the data (correct)
  • Source of the data
  • Business definition
  • Description from a business perspective

In the context of data quality, which activity is part of monitoring data quality?

  • Planning quality assessments
  • Defining data integrity measures
  • Auditing existing data processes (correct)
  • Implementing quality measures

Which phase is NOT included in the lifecycle of Business Insights & Analytics?

<p>Creation (D)</p> Signup and view all the answers

Which component is essential for improving data quality?

<p>Implementing data quality measures (B)</p> Signup and view all the answers

What does the phase of 'Sourcing' in the data life cycle primarily involve?

<p>Collecting and capturing data values from various sources (C)</p> Signup and view all the answers

Which of the following is NOT an activity associated with the 'Protection & Usage' phase?

<p>Maintaining data in storage (A)</p> Signup and view all the answers

What is the primary purpose of the 'Archiving' phase in the data life cycle?

<p>Storing data that is no longer actively used for a defined retention period (C)</p> Signup and view all the answers

In the context of the data life cycle, what is meant by 'Sharing'?

<p>Sending data to users or entities that require it for specific purposes (A)</p> Signup and view all the answers

Which of the following correctly represents a characteristic of 'good data'?

<p>Data that is timely, relevant, and accurate (B)</p> Signup and view all the answers

Which phase in the data life cycle is primarily concerned with the proper disposal of data?

<p>Destruction (D)</p> Signup and view all the answers

Which of the following is an essential skill for managing data throughout its lifecycle?

<p>Data protection and legal compliance (A)</p> Signup and view all the answers

What is the primary goal of data governance as defined in DMBOK?

<p>To oversee management and use of data (B)</p> Signup and view all the answers

Which area of the DMBOK framework involves the processes of planning and maintaining data?

<p>Data Management (B)</p> Signup and view all the answers

What is a key process involved in the 'Storage & Protection' phase of the data life cycle?

<p>Implementing encryption and access controls (D)</p> Signup and view all the answers

Which of the following best describes the DMBOK framework?

<p>A comprehensive model for managing data-related processes (B)</p> Signup and view all the answers

What is one requirement for the naming of XML element names?

<p>Names must begin with a letter, underscore, or colon. (C)</p> Signup and view all the answers

Which statement is true regarding XML attribute values?

<p>Attribute values must be enclosed in quotation marks. (D)</p> Signup and view all the answers

What does proper nesting in XML refer to?

<p>Closing child elements before their parent elements. (D)</p> Signup and view all the answers

What does an XML processor do with extra white space in the file?

<p>It ignores extra white space. (D)</p> Signup and view all the answers

Why is indentation recommended for XML documents?

<p>To enhance readability and human interpretation. (D)</p> Signup and view all the answers

What is a prohibited practice when naming XML elements?

<p>Using the letters xml in any combination of upper and lowercase. (C)</p> Signup and view all the answers

Which special character in XML is replaced by " & lt; "?

<p>&lt; (C)</p> Signup and view all the answers

What character type is not recommended in XML element names?

<p>Period (C)</p> Signup and view all the answers

Which of the following is a valid comment format in XML? (Ignore quotation marks.)

<p>&quot;&lt;! --- This is a comment ---- &gt;&quot; (A)</p> Signup and view all the answers

What should be included at the beginning of each XML file?

<p>XML declaration (B)</p> Signup and view all the answers

In XML, which of the following is a valid way to represent a date?

<p><date>2005-07-07</date> (D)</p> Signup and view all the answers

What does & represent in XML?

<p>&amp; (D)</p> Signup and view all the answers

Which statement about white space in XML is accurate?

<p>White space can be added around elements for clarity. (A)</p> Signup and view all the answers

Which of these tag names can be used in XML?

<p>Any language supported by the software (A)</p> Signup and view all the answers

What is the primary difference between XML and JSON presentation style?

<p>XML uses tags while JSON uses key-value pairs. (B)</p> Signup and view all the answers

How are special characters represented in XML?

<p>They are replaced with predefined entities. (B)</p> Signup and view all the answers

What is the first stage in the data life cycle?

<p>Sourcing (A)</p> Signup and view all the answers

Which of the following activities is part of the Protection & Usage stage?

<p>Data modeling and analysis (A)</p> Signup and view all the answers

What does archiving typically involve?

<p>Copying data into an archive (B)</p> Signup and view all the answers

Why do enterprises engage in data destruction?

<p>To protect sensitive information (D)</p> Signup and view all the answers

In which part of the data life cycle would you find data transformation and synthesis?

<p>Storage &amp; Preparation (C)</p> Signup and view all the answers

Which of the following is NOT a function of the Sharing stage?

<p>Permanently destroying data (D)</p> Signup and view all the answers

Which step comes after the Archiving process in the data life cycle?

<p>Destruction (A)</p> Signup and view all the answers

What is involved in the Sourcing stage of the data life cycle?

<p>Receiving and capturing data signals (A)</p> Signup and view all the answers

Flashcards

Sourcing (Data Life Cycle)

The process of acquiring data from various sources, often referred to as data capture or acquisition.

Storage & Preparation (Data Life Cycle)

Involves storing, maintaining, and preparing data for use. This stage ensures that the data is organized, cleaned, and ready for analysis.

Protection & Usage (Data Life Cycle)

This involves securely using data for organizational tasks while protecting it from unauthorized access or misuse.

Sharing (Data Life Cycle)

Distributing data to authorized users or entities, both internal and external to the organization, for specific purposes.

Signup and view all the flashcards

Archiving (Data Life Cycle)

Keeping data that's no longer actively used for a defined period, ensuring appropriate retention policies are followed.

Signup and view all the flashcards

Business Metadata

Information about data that describes its characteristics and context from a business point of view.

Signup and view all the flashcards

Business Definition

Explains what the data means in a business context, its purpose and intended use.

Signup and view all the flashcards

Technical Metadata

Describes the technical aspects of the data, like how it's structured and stored.

Signup and view all the flashcards

Data Quality

The process of ensuring data accuracy and consistency.

Signup and view all the flashcards

Data Governance

The systematic process of managing and controlling all aspects of data from its origin to its disposal.

Signup and view all the flashcards

Data Destruction

The process of permanently removing data from storage, ensuring it is unrecoverable.

Signup and view all the flashcards

Sourcing

The initial stage of the data life cycle, where data is obtained from various sources.

Signup and view all the flashcards

Storage & Preparation

The stage where data is prepared for its intended use, including cleaning, transformation, and enrichment.

Signup and view all the flashcards

Protection & Usage

The stage where data is protected from unauthorized access, corruption, and loss.

Signup and view all the flashcards

Sharing

The stage where data is shared with authorized users or systems, including collaboration and distribution.

Signup and view all the flashcards

Archiving

The stage where data is stored for long-term preservation and retrieval, ensuring its accessibility for future use.

Signup and view all the flashcards

Data Publication

The stage where data is made available for exploration, analysis, and visualization, including interactive dashboards and reports.

Signup and view all the flashcards

Copying data into archive & Removing archived data

The process of moving data into an archive for long-term storage and removing it from active environments.

Signup and view all the flashcards

Data Life Cycle

Phases that define the entire journey of data, from its origin to its ultimate disposal.

Signup and view all the flashcards

Preparation

The process of organizing, cleaning, and transforming raw data into a usable format for analysis.

Signup and view all the flashcards

Storage & Protection

The secure storage and accessibility of data in a centralized location. This includes data backup and recovery strategies.

Signup and view all the flashcards

Usage

The use of prepared data to answer questions, generate insights, and support decision-making through various analytics techniques.

Signup and view all the flashcards

Destruction

The final stage where data is permanently removed from any storage system, fulfilling data retention and privacy regulations.

Signup and view all the flashcards

Unique attribute names

Each XML element can have multiple attributes. However, each attribute should have a unique name within that element.

Signup and view all the flashcards

Indentation in XML

XML documents are easier to read and understand for both humans and machines when child elements are indented relative to their parent elements.

Signup and view all the flashcards

Nesting elements in XML

An element in XML must be properly nested. If you start an element B inside element A, you must close B before closing A.

Signup and view all the flashcards

Root element in XML

XML document always has a single root element that encloses all other elements.

Signup and view all the flashcards

XML declaration

The XML declaration should always be included at the beginning of an XML file. It specifies the XML version and encoding.

Signup and view all the flashcards

Case sensitivity in XML

XML is case-sensitive. The opening and closing tags must use the same capitalization.

Signup and view all the flashcards

Valid XML tag names

XML tag names must begin with a letter, underscore or colon. They can also include letters, digits and underscores but spaces are not allowed. Avoid using colons, dashes and periods within tag names.

Signup and view all the flashcards

Attribute values in XML

Attribute values in XML must always be enclosed in either single or double quotation marks.

Signup and view all the flashcards

What is XML?

XML stands for Extensible Markup Language. It's a markup language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable.

Signup and view all the flashcards

What makes XML self-describing?

XML is a self-describing language, meaning that the structure and meaning of the data are defined within the document itself using tags.

Signup and view all the flashcards

What are tags and elements in XML?

In XML, tags are used to define elements, which represent different parts of the data. Elements can contain content, attributes, or even other elements.

Signup and view all the flashcards

What are attributes in XML?

Attributes are used to provide additional information about an element. Attributes are written within the start tag of an element and have a name-value pair.

Signup and view all the flashcards

How are special characters handled in XML?

Special characters like '<', '>', '&', '"', and ' '' are replaced in XML with their corresponding entities to avoid conflicts with the XML syntax.

Signup and view all the flashcards

Is XML flexible in defining tags?

XML allows you to define your own customized tags to represent data according to your specific needs. This flexibility makes XML highly versatile.

Signup and view all the flashcards

What is JSON?

JSON stands for JavaScript Object Notation. It's a lightweight data-interchange format that is both human-readable and machine-readable.

Signup and view all the flashcards

What is the structure of JSON?

JSON utilizes a hierarchical structure with key-value pairs. This makes it easy to represent complex data with a clear and organized format.

Signup and view all the flashcards

Study Notes

Lesson 2: Data Life Cycle

  • Learning Objectives:
    • Understand the phases of the data lifecycle
    • Identify the processes and activities within each phase
    • Understand the DAMA Framework knowledge areas
    • Interpret context diagrams
    • Understand how analytics relates to the DAMA framework
    • Distinguish good from bad data
    • Interpret XML data formats

Data Life Cycle

  • Phases: Sourcing, Storage & Preparation, Protection & Usage, Sharing, Archiving, Destruction
  • Processes & Activities (Description):
    • Sourcing: Collecting and capturing data from various sources, also known as 'data capture' or 'data acquisition'.
    • Storage & Preparation (Storage & maintenance): Storing, maintaining, and preparing data for usage.
    • Protection & Usage (Permitted use of data): Applying data to tasks needed to operate the enterprise, while protecting the data.
    • Sharing: Sending data to users and entities inside and outside the enterprise for specific purposes (publication).
    • Archiving: Archiving data that is no longer actively used for a specific retention period.
    • Destruction: Removing every copy of data item from the enterprise, also known as 'purging' or 'permanently destroying'.
  • Processes & Activities (Specific processes):
    • Sourcing: Obtain external data, create/enter data, receive/capture data signals
    • Storage & Preparation: Move and store data, cleanse/enrich data, transform/synthesise data, integrate data from multiple sources
    • Protection & Usage: Apply data to enterprise tasks, protect/monitor/audit usage, search/classify/explore data, model/analyse data.
    • Sharing: Data publication, data visualization, data sharing, data movement/copying, delivering data products to customers
    • Archiving: Copying data into archive, removing archived data from active environments.
    • Destruction: Permanently destroying data

Data Governance (DMBOK Definition & Activities)

  • Definition: Planning, oversight, and control over the management of data and its related resources.
  • Processes & Activities (Activities List):
    • Enforcing consistent definitions, rules, business metrics, policies for data use, and establishing reference data and data ownership.

Data Architecture (DMBOK Definition & Activities)

  • Definition: The overall structure of data and data-related resources as an integral part of the enterprise architecture.
  • Processes & Activities (Activities List):
    • Defining data needed to meet business needs, data facts and dimensions, logical data models, enterprise data flows. Examine completeness and correctness of data sources.

Context Diagram - Example

  • A visual representation of the relationship between different systems and processes within an organization.

Data Modeling & Design (DMBOK Definition & Activities)

  • Definition: Analysis, design, building, testing, and maintenance of data structures
  • Processes & Activities (Activities List):
    • Design and build: Conceptual, logical and physical data modeling , master data modeling, modeling and design for different architectures (data warehouse, data lake, cloud data storage).

Data Storage & Operations (DMBOK Definition & Activities)

  • Definition: Deployment and management of structured physical data assets storage
  • Processes & Activities (Activities List):
    • Manage: Building and operating data storage solutions, performance management, backup & recovery of data assets, monitoring, archiving, and purging of data assets.

Data Security (DMBOK Definition & Activities)

  • Definition: Ensuring privacy, confidentiality, and appropriate access to data
  • Processes & Activities (Activities List):
    • Define: Privacy and security, access management, security governance, data protection (encryption).

Data Integration & Interoperability (DMBOK Definition & Activities)

  • Definition: Acquisition, extraction, transformation, movement, delivery, replication, federation, virtualization, and operational support of data assets.
  • Processes & Activities (Activities List):
    • Manage: Data acquisition and movement, transformation, interoperability and integration, data migration and conversion.

Documents & Content (DMBOK Definition & Activities)

  • Definition: Storing, protecting, indexing, and enabling access to data found in unstructured sources and making it available for integration with structured data.
  • Processes & Activities (Activities List):
    • Govern: Content management, managing physical documents, managing electronic records.

Reference & Master Data (DMBOK Definition & Activities)

  • Definition: Managing shared data to reduce redundancy and ensure better data quality through standardized definition and use of data values.
  • Processes & Activities (Activities List):
    • Govern: Establishing and managing systems of record for business, spatial, or market data, acquiring or creating systems of reference, defining data business rules.

Data Warehousing & Business Intelligence (DMBOK Definition & Activities)

  • Definition: Managing analytical data processing and enabling access to decision support data for reporting and analysis
  • Processes & Activities (Activities List):
    • Govern: Data profiling and warehousing, data discovery, searching, and querying, operational and analytical reporting, analytics.

Metadata (DMBOK Definition & Activities)

  • Definition: Collecting, categorizing, maintaining, integrating, controlling, managing, and delivering metadata
  • Processes & Activities (Activities List):
    • Manage: Business glossary / data dictionary, data classification.

Metadata: Information about data

  • Metadata describes the data, as it's created, stored, transformed, accessed, and used across the entire enterprise.
    • Business metadata describes data from a business perspective.
    • Technical metadata describes the data as interpreted by software tools.

Qualities of Good Data (Five C's)

  • Clean: Accurate, no missing data points, conforms to a format, no invalid entries.
  • Consistent: Follows the same standards, definitions, and codes. Uses the same meaning
  • Conformed: Data that can be shared across the same dimensions using the same business meaning.
  • Current: Data as recent as required for business purposes.
  • Comprehensive: Sufficient and complete for the intended purpose

XML Data Format

  • A text-based format used to share data.
  • Uses tags to describe data pieces.
  • A metalanguage that allows for custom markup languages.
  • XML is a specification for storing information with clear structure, following predefined rules.
  • A root element is required -- this root element contains all the other elements in the document

XML vs JSON

  • XML (Extensible Markup Language) is a markup language
  • JSON (JavaScript Object Notation) is a lightweight data-interchange format.

Additional Topics

  • Discussion on 'good/bad' data, examples of its origins.
  • Discussion on why enterprises use data purging (destruction).

Studying That Suits You

Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

Quiz Team

Related Documents

Introduction To Analytics 2023-2024 PDF

Description

Test your knowledge on data management concepts and the data life cycle in this quiz. Explore various phases such as Sourcing, Sharing, and Archiving, along with essential skills and characteristics of good data. Understand the importance of data governance in managing data effectively.

More Like This

Use Quizgecko on...
Browser
Open
Browser
Browser