Data Management Overview
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Questions and Answers

Which of the following is the MOST accurate description of data management?

  • A process of collecting, storing, organizing, and maintaining data to provide analytical insights. (correct)
  • Focused on data analysis but not on the processes ensuring data accuracy or accessibility.
  • The exclusive domain of IT departments focusing solely on data storage technologies.
  • Primarily concerned with data collection, overlooking the importance of data governance.

What is the role of data models in the data management process?

  • To identify and resolve data errors and inconsistencies in the data.
  • To design and deploy database systems for storing organizational data.
  • To ensure compliance with data usage policies across different systems.
  • To map workflows and relationships in data to meet the business requirements. (correct)

Which of the following BEST describes the purpose of data governance in an organization?

  • Designing the physical architecture for data storage, including databases and repositories.
  • Identifying and correcting errors and inconsistencies in data through cleansing tasks.
  • Creating data definitions and usage policies to ensure data consistency across systems. (correct)
  • Integrating data from various transaction systems into a data warehouse for analysis.

What is the primary function of queries in the context of data management and databases?

<p>To retrieve specific data from the database based on defined criteria. (A)</p> Signup and view all the answers

What is the KEY difference between a traditional database and a data warehouse?

<p>Data warehouses use multidimensional databases. while traditional databases use flat tables. (D)</p> Signup and view all the answers

Which of the following BEST defines 'Data Mining' in the context of data warehouses?

<p>A process of searching, retrieving, and analyzing data to discover patterns and trends. (C)</p> Signup and view all the answers

In the data management process, what is the role of 'Data Preparation'?

<p>Cleaning, transforming, and structuring raw data to enable effective analysis. (D)</p> Signup and view all the answers

What is the primary purpose of data analysis?

<p>Transforming data into useful information to support decision-making. (D)</p> Signup and view all the answers

Which tool is most suitable for conducting data analysis on 'small' datasets collected through business transactions?

<p>Excel, as its spreadsheet functionality is designed for organizing and visualizing data. (D)</p> Signup and view all the answers

What are the three defining characteristics, often referred to as the '3 V's', that characterize Big Data?

<p>Volume, Velocity, and Variety. (B)</p> Signup and view all the answers

Flashcards

Data management

The process of collecting, storing, organizing, and maintaining data created by an organization.

Data architecture

Designed and deployed data structures with database systems.

Data storage

Data is put away in databases and data repositories.

Data quality checks

Checks to identify errors and inconsistencies in data.

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Data governance

Process of ensuring data is consistent across different systems.

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Files in databases

Table-like structures that are related based on common fields.

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Forms

Used to input data into databases.

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Queries

Used to retrieve data from databases.

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Data mining

Searching, retrieving, and analyzing data to discover hidden patterns and trends.

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Data analysis

Transforming raw figures into useful information.

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Study Notes

  • Data management involves collecting, storing, organizing, and maintaining data within an organization
  • Effective data management supports decision-making and strategic planning for executives and managers
  • The data management process comprises various functions to ensure data is accurate, available, and accessible
  • User involvement is crucial in the data management process

Key Parts of Data Management Process

  • Data architecture is designed and deployed with database systems and repositories for organizational data
  • Data is generated, processed, and stored in databases, file systems, or cloud storage
  • Data quality checks identify errors and inconsistencies for resolution through data cleansing
  • Data models map workflows and relationships in data sets to organize information for business needs
  • Data from transaction systems and other sources is integrated in data warehouses or data lakes for analysis
  • Data governance programs establish data definitions and usage policies for consistency across systems

Data Management / Databases

  • Data is organized into table-like structures called files, related by common fields
  • Forms facilitate user input into databases, while queries retrieve data

Data Management / Data Warehouses

  • Data warehouses store data extracted from various databases, including historical data
  • Advanced math techniques are employed to process large volumes of data
  • Data mining involves searching, retrieving, and analyzing data to discover patterns and trends, like in "Market Basket Analysis"
  • Multidimensional databases and cubes are used instead of flat tables

Data Management Process

  • The Data Management Process consists of Data Collection, Data Preparation, Data Storage, Data Analysis and Data Distribution

Data Analysis

  • Data analysis transforms data into useful information
  • Tools used for the analysis include Excel, Python, R, Tableau, and Microsoft Power BI

Data Analysis with Spreadsheets

  • Spreadsheet software like Excel performs data analysis on smaller datasets collected through transactions
  • Spreadsheets organize data in flat (2D) files with rows and columns
  • Spreadsheets organize data, perform calculations and visualize data in charts
  • Advanced tools like Solver, Pivot tables, and Power Query enhance spreadsheet analysis for complex data

Big Data

  • Big Data refers to unstructured, constantly changing data from diverse sources, needing cleaning before use
  • Big data has the characteristics of volume, variety, and velocity

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Description

Explore data management's core functions: architecture, processing, quality control, modeling, integration, and governance. Learn how effective data handling supports strategic decision-making. User involvement is critical for ensuring data accuracy, availability, and accessibility within an organization.

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