Data Access - Revision history

User at 23:45, 22 March 2024

2024-03-22T23:45:31Z

User at 12:04, 24 February 2024

2024-02-24T12:04:44Z

User at 15:02, 14 March 2023

2023-03-14T15:02:29Z

User at 14:50, 14 March 2023

2023-03-14T14:50:05Z

User at 14:49, 14 March 2023

2023-03-14T14:49:34Z

User at 14:44, 14 March 2023

2023-03-14T14:44:26Z

User at 17:48, 12 January 2023

2023-01-12T17:48:03Z

User at 15:17, 26 October 2022

2022-10-26T15:17:44Z

User: The LinkTitles extension automatically added links to existing pages (https://github.com/bovender/LinkTitles).

2021-02-06T15:06:15Z

The LinkTitles extension automatically added links to existing pages (https://github.com/bovender/LinkTitles).

User at 19:38, 3 January 2020

2020-01-03T19:38:45Z

← Older revision		Revision as of 23:45, 22 March 2024
Line 52:		Line 52:

	===See Also===		===See Also===
		+	Data access refers to the methods and processes involved in retrieving and manipulating data from databases, data warehouses, or other data storage systems. It's a foundational concept in fields like database management, software development, and information technology, playing a crucial role in ensuring that data is available, secure, and usable for applications and end-users.
		+
		+	*[[Database Management System (DBMS)]]: Exploring the software tools that enable users to store, modify, and extract information from a database. Discussions can include types of DBMS, such as relational, NoSQL, and NewSQL databases.
		+	*[[Structured Query Language (SQL)\|SQL (Structured Query Language)]]: Covering the standard language used to query and manage data in relational databases. SQL topics might include data query, data manipulation, and database schema creation commands.
		+	*[[Data Warehouse]]: Discussing large repositories of corporate data, collected from different sources and optimized for analysis and reporting. This includes topics on data warehouse design, ETL (extract, transform, load) processes, and data mart.
		+	*[[Data Privacy]] and [[Data Security]]: Highlighting the importance of protecting data from unauthorized access and ensuring that personal and sensitive information is handled in compliance with legal and ethical standards.
		+	*[[Application Program Interface (API)\|APIs (Application Programming Interfaces)]]: Exploring how APIs enable different software applications to communicate with each other and access data services, including RESTful APIs and SOAP (Simple Object Access Protocol) for web services.
		+	*[[Data Governance]]: Covering the process of managing the availability, usability, integrity, and security of the data in enterprise systems, based on internal data standards and policies that also control data usage.
		+	*Big Data Technologies: Discussing the tools and techniques used to process and analyze large volumes of data that cannot be handled by traditional database systems, such as Hadoop and Spark.
		+	*Cloud Storage and Databases: Exploring how data is stored, managed, and accessed in cloud environments, including discussions on cloud database services like Amazon RDS, Google Cloud SQL, and Microsoft Azure SQL Database.
		+	*[[Data Integration]]: Covering the processes involved in combining data from different sources to provide a unified view, including data consolidation, data federation, and data virtualization techniques.
		+	*[[Online Analytical Processing (OLAP)\|OLAP (Online Analytical Processing)]]: Discussing technologies that allow users to analyze multidimensional data from multiple perspectives, including concepts like OLAP cubes and dimensions.
		+	*ORM (Object-Relational Mapping): Exploring tools and techniques that facilitate the conversion of data between incompatible type systems in object-oriented programming languages, simplifying data access in software development.
		+	*Transaction Management: Covering the principles and mechanisms for managing database transactions to ensure data integrity and consistency, including concepts like ACID (Atomicity, Consistency, Isolation, Durability) properties.
	*[[Data Access Control]]		*[[Data Access Control]]

← Older revision		Revision as of 12:04, 24 February 2024
Line 52:		Line 52:

	===See Also===		===See Also===
−	*[[Data]]
	*[[Data Access Control]]		*[[Data Access Control]]

@@ Line 52: / Line 52: @@
 ===See Also===
-[[Data]]
+*[[Data]]
-[[Data Access Control]]
+*[[Data Access Control]]

← Older revision		Revision as of 14:50, 14 March 2023
Line 58:		Line 58:
	===References===		===References===
	<references/>		<references/>
		+	__NOTOC__

@@ Line 1: / Line 1: @@
 == What is Data Access? ==
 '''Data Access''' refers to a user's ability to access or retrieve data stored within a database or other repository. Users who have data access can store, retrieve, move, or manipulate stored data, which can be stored on a wide range of hard drives and external devices.<ref>[https://www.techopedia.com/definition/26929/data-access Defining Data Access]</ref>Data access works with complementary technologies, including data virtualization and master data management, to put your data to work on-premise, in the cloud, and everywhere in between.
@@ Line 15: / Line 14: @@
 *Web access: Most companies have mission-critical data running to and from their website, customer portal, or intranet for services that include e-commerce, customer support, service chain, and supply chain management. All of these web-based applications require a data access platform if they have legacy systems in place to store their information.
 *Application modernization: Modernizing data access with the web enables companies to engage with customers, suppliers, partners, and employees in more far-reaching and powerful ways, putting data "in the trenches” where it can be used effectively to keep operations moving forward.<ref>[https://www.softwareag.com/en_corporate/resources/what-is/data-access.html Understanding the Uses Cases for Data Access]</ref>
@@ Line 50: / Line 53: @@
 ===See Also===
 [[Data]]
 ===References===
 <references/>

@@ Line 1: / Line 1: @@
-'''Data Access''' refers to a user's ability to access or retrieve [[Data|data]] stored within a [[Database (DB)|database]] or other repository. Users who have data access can store, retrieve, move or manipulate stored data, which can be stored on a wide range of [[Hard Disk Drive (HDD)|hard drives]] and external devices.<ref>Defining Data Access [https://www.techopedia.com/definition/26929/data-access Techopedia]</ref>
+== What is Data Access? ==
-Data access is one of the main outputs of effective [[Data Governance|data governance]] programs. [[Organization|Organizations]] should ideally have well thought out, structured means of granting data access to different users. This is reinforced by various permissions and levels of security required for data access. Frequently, these permissions are based on organizational roles or responsibilities, which are structured according to data [[governance]] policies. When data is at rest in a repository, there are two basic ways of accessing it: with sequential access and random access:
+'''Data Access''' refers to a user's ability to access or retrieve data stored within a database or other repository. Users who have data access can store, retrieve, move or manipulate stored data, which can be stored on a wide range of hard drives and external devices.<ref>Defining Data Access [https://www.techopedia.com/definition/26929/data-access Techopedia]</ref>
 *Sequential access uses a seek operation to move the different data on a disk until the requested data is found. However, each data segment is read (in sequential order) until the sought after data is found, which can tax computational resources. Still, this method is often faster than random access because it requires fewer seek procedures than random access does.
 *Random access stores or retrieves data from anywhere on the disk. The advantage of this approach is that not all data has to be read in sequential order to find what a user’s looking for. Also, the data is located in constant time, which means there’s an upper limit to how long it will take for it to be retrieved. When that limit is less than how long it could take to sequentially read and retrieve data, random access is preferable.<ref>The Two Basic Types of Data Access [https://www.talend.com/resources/what-is-data-access/ Talend]</ref>
@@ Line 8: / Line 10: @@
 ===See Also===
 <div style="column-count:2;-moz-column-count:4;-webkit-column-count:4">
-*[[Data]]
 </div>

@@ Line 8: / Line 8: @@
 ===See Also===
 <div style="column-count:2;-moz-column-count:4;-webkit-column-count:4">
-[[Data]]<br />
+*[[Data]]
-[[Data Access]]<br />
+*[[Data Access]]
-[[Data Analysis]]<br />
+*[[Data Analysis]]
-[[Data Analytics]]<br />
+*[[Data Analytics]]
-[[Data Architecture]]<br />
+*[[Data Architecture]]
-[[Data Asset Framework (DAF)]]<br />
+*[[Data Asset Framework (DAF)]]
-[[Data Buffer]]<br />
+*[[Data Buffer]]
-[[Data Center]]<br />
+*[[Data Center]]
-[[Data Center Infrastructure]]<br />
+*[[Data Center Infrastructure]]
-[[Data Center Infrastructure Management (DCIM)]]<br />
+*[[Data Center Infrastructure Management (DCIM)]]
-[[Data Cleansing]]<br />
+*[[Data Cleansing]]
-[[Data Collection]]<br />
+*[[Data Compatibility]]
-[[Data Compatibility]]<br />
+*[[Data Governance]]
-[[Data Consolidation]]<br />
+*[[Data Integration]]
-[[Data Deduplication]]<br />
+*[[Data Management]]
-[[Data Delivery Platform (DDP)]]<br />
+*[[Data Mining]]
-[[Data Description (Definition) Language (DDL)]]<br />
+*[[Data Monitoring]]
-[[Data Dictionary]]<br />
+*[[Data Munging]]
-[[Data Discovery]]<br />
+*[[Data Portability]]
-[[Data Driven Organization]]<br />
+*[[Data Quality]]
-[[Data Element]]<br />
+*[[Data Reference Model (DRM)]]
-[[Data Enrichment]]<br />
+*[[Data Security]]
-[[Data Entry]]<br />
+*[[Data Transformation]]
-[[Data Federation]]<br />
+*[[Data Visualization]]
-[[Data Flow Diagram]]<br />
+*[[Data Warehouse]]
 </div>