Table of Contents
What is Data Catalogs
Data catalogs are data catalog is a collection of data resources which can work for any business. It is built on the metadata that is stored within the company. Data catalogs are created based on the metadata stored in organizations. data catalog is used by the data engineer, the data manager and data users from different areas of the company. It assists in planning, securing and find a particular important.
The amount of information gathered by organizations is staggeringly large. Over 60% of the data is undiscovered and inactive. Data that is not available creates problems for the business. Critical decisions are made because of inaccurate or incomplete information. This includes the access to sensitive information that are protected by laws of the country.
To control the kind of analysis are done using the database, it is that the data catalog seems to be the perfect solution. It offers excellent quality business analysis.
The development of the data catalog allows an easy threshold for entry as well as an understanding of the data available inside the database. This is a smart solution since it reduces the gap in knowledge of data to those outside the organization.
Data catalogs are also used to control access rights. data catalog also allows control over the rights of users of the database. It determines the degree of access to the various types of data stored in the database. This is a crucial aspect of centralizing analysis of cloud data.
Below is a listing of advantages from this data catalog:
In the event that you hire the new members of your team for data (or when another department of your company needs details about the data) it’s much more convenient to give them an instrument such as a search engine that directs them to the correct data source.
Governance of data: you may determine which views, tables or even certain columns within your dataset should manage by certain people in your company. Be cautious, your actual setting of access to data must be made inside your data source.
Reliability: When data is easier to access and understood to the employees of your company, it increases an atmosphere of transparency. Transparency builds trust.
Update: Make sure that the stakeholders are current and inform them of whether your data is in line with SLA.
Relationship: Certain data catalogs allow you to build linesage visualizations of the data. They also link your data visualization software with the data’s SQL requests, so that you can determine the frequency with which your data is linked and modified.
Goal: By creating”data dictionary “data dictionary” you allow users to understand quickly the reason why certain datasets were made in the first instance and how they’re used today.
Conformity: When you are aware of which tables contain sensitive data, it’s easier to assist the various stakeholders, like the team responsible for product development or the legal department, to ensure that the data is in compliance with local laws such as RGPD.
Data profiling and automated decision-making
“Profiling” should be understood as any automatized processing personal information that is employed to assess certain personal characteristics that an individual has, and in particular to determine or forecast the future of the person’s work performance and health, financial situation preferences, interests, the reliability of their behavior, where they are or movements.
It is a simple concept, it’s an automated procedure which leads to conclusions about the person’s certain traits. A good example is the application used by banks which, based on data it gathers and automatically decides that a person is not eligible to be able to obtain a loan due to the low income and size of family.
In a larger sense it is employed by database brokers who market it to businesses who want to better connect with potential customers for their offerings or services. We can improve data profiling process by using data profiling tools. It enhanced the speed of profiling processes.
Automated decision-making on the other on the other hand, is the method through which the information technology or technology can alter the circumstances of a person who is a data subject by taking into consideration various factors that may be input by anyone or automatically collected through the computer system with the decision being taken without any human intervention.
By monitoring users, social networks are able to provide them with more relevant content. Advertising or recommending specific content isn’t an option. It can only be one when, for instance the price or the high-quality of the product depends on the characteristics of an individual like offering women different types of cosmetics in accordance with their skin shade. However, automated decisions could be made with no profiling, e.g. fines imposed in accordance with speed camera measures.
Database documentations
The act of documenting a database makes it simpler to manage the contents and function of the database. An overview of the basic data allows you to assess the dimensions of the database and the reason it was constructed. The control over the quantity of elements in a particular database lets you determine if your database’s direction for development is in line with the purpose for which it was created.
Particularly valuable database documentation is used in:
- BI Data Warehouses
- ERP CRM implementations, ERP
- Intergration
- Maintenance and development,
- Transfer to new platforms.
The documentation should include the quantity in database items (e.g. tables, tables, indexes, data containers, etc.).).
Data dictionary are a component that describes objects of a database in great detail. A table is an object that is described in terms of its usage and definitions of columns.
Other components that are included in the document of the object include:
- The data dictionary also explains the requirements of each row’s addition and the criteria for what rows is added to,
- API An explanation about how an API operates,
- Data sources, column-by-column explanation of object
- Dependencies on objects include views, as defined by used by tables
- Additional information about the data, in-depth description of the kind of data that is contained in columns
Another section of The database documentation is ERD, Entity Relationship Diagram. It is an entity relationship diagram that details the relationship between objects in the database.
The principle behind documentation is to be organized. The objects must be documented on a continuous and on a regular basis. Basic tools for managing databases that provide concise descriptions of objects can be used to record information. There are other database documentation generator tools available on the market which specialize specifically in database documentation. They are extremely useful when you have to take the database over that’s documentation was not properly maintained prior to.
