A logical data model establishes the structure of data elements and the relationships among them. It is independent of the physical database that details how the data will be implemented. The logical data model serves as a blueprint for used data.
The five major components of a database are hardware, software, data, procedure, and database access language.
A database is an organized collection of structured information, or data, typically stored electronically in a computer system. A database is usually controlled by a database management system (DBMS). Most databases use structured query language (SQL) for writing and querying data.
Record - a record represents a collection of attributes that describe a real-world entity. A record consists of fields, with each field describing an attribute of the entity.
Logical files do not contain data. They contain a description of records found in one or more physical files. A logical file is a view or representation of one or more physical files. Logical files that contain more than one format are referred to as multi-format logical files.
A logical data model is a model that describes data as much as possible, without regard to how they will be physically implemented in the database. In contrast, a physical data model is a model that represents how the actual database is built. Hence, this is the main difference between logical and physical data model.
The Elements of a DatabaseThe database schema.Schema objects.Indexes.Tables.Fields and columns.Records and rows.Keys.Relationships.
Four Elements of Data: Volume, velocity, variety, and veracity – Effective Database Management.
6 Types of Data in Statistics & Research: Key in Data ScienceQuantitative data. Quantitative data seems to be the easiest to explain. Qualitative data. Qualitative data can't be expressed as a number and can't be measured. Nominal data. Ordinal data. Discrete data. Continuous data.
Data allows organizations to measure the effectiveness of a given strategy: When strategies are put into place to overcome a challenge, collecting data will allow you to determine how well your solution is performing, and whether or not your approach needs to be tweaked or changed over the long-term.
A logical data model represents the organization of a set of data by standardizing the people, places, things (entities) and the rules and relationships between them using a standard language and notation.
A logical map is a map, diagram, or graph with predefined areas for interaction. Using a logical map, you can filter, rank, and select asset content based on context. You can also index, aggregate, and integrate information across different domains and sources. Logical maps can be processed as mathematical graphs.
A logical data model or logical schema is a data model of a specific problem domain expressed independently of a particular database management product or storage technology (physical data model) but in terms of data structures such as relational tables and columns, object-oriented classes, or XML tags.
tableA schema object is an object that resides within a schema. The most typical object found in a database is a table. Other types of objects can reside in a schema, such as indexes, constraints, views, and procedures. The table is the most fundamental element found in a database schema.
Data Elements (The Data Repository)Data TypeMeaningDecimal, numericNumeric data that are accurate to the least significant digit, can contain a whole and decimal portionFloat, realFloating-point values that contain an approximate decimal valueInt, smallint, tinyintOnly integer (whole digit) data
A data type is a description of the kind of data in a table column. Each database system recognises its own set of datatypes, although some are common to many. Typical examples will be Integer or Text.
A logical data model or logical schema is a data model of a specific problem domain expressed independently of a particular database management product or storage technology (physical data model) but in terms of data structures such as relational tables and columns, object-oriented classes, or XML tags.
The Entity-Relationship diagram gives a logical structure of the database graphically.
4 Types of Data: Nominal, Ordinal, Discrete, Continuous.
There are Three Types of DataShort-term data. This is typically transactional data. Long-term data. One of the best examples of this type of data is certification or accreditation data. Useless data. Alas, too much of our databases are filled with truly useless data.
The types of data proven to be most valuable to companies are customer data, IT data, and internal financial data.
Nominal data is “labeled” or “named” data which can be divided into various groups that do not overlap. Data is not measured or evaluated in this case, it is just assigned to multiple groups. These groups are unique and have no common elements. In some cases, nominal data is also called “Categorical Data”.
Multifield transformation converts data from one field into multiple fields, multiple fields into one field, and multiple fields into multiple fields. This type of transformation is very common in data warehouse applications.
Q.________________ is held in the catalog of the warehouse database system.B.algorithmic level metadata.C.departmental level metadata.D.core warehouse metadata.Answer» b. algorithmic level metadata.
Discussion ForumQue.What is the data type of (1)?b.Integerc.Listd.Both tuple and integerAnswer:Integer
Data types in SQL Server are organized into the following categories:Exact numerics. Unicode character strings.Approximate numerics. Binary strings.Date and time. Other data types.Character strings.bigint. numeric.bit. smallint.decimal. smallmoney.int. tinyint.
In metadata, the term data element is an atomic unit of data that has precise meaning or precise semantics. A data element has: An identification such as a data element name. Optional enumerated values Code (metadata) A list of synonyms to data elements in other metadata registries Synonym ring.
Each data element is of one of two types: simple or compound.
1. A specification of data structures according to the features of the given logical model, such as relational or object-relational.
A relational database is made up of several components, of which the table is most significant. The database table is where all the data in a database is stored, and without tables, there would not be much use for relational databases.
A logical data model is a model that is not specific to a database that describes things about which an organization wants to collect data, and the relationships among these things.
1. Which of the following gives a logical structure of the database graphically? Explanation: E-R diagrams are simple and clear—qualities that may well account in large part for the widespread use of the E-R model.
Metadata represents Data about Data that means it describes information about another Data.
The Two Main Flavors of Data: Qualitative and Quantitative At the highest level, two kinds of data exist: quantitative and qualitative. Quantitative data deals with numbers and things you can measure objectively: dimensions such as height, width, and length. Temperature and humidity.
Ordinal data is a statistical type of quantitative data in which variables exist in naturally occurring ordered categories. The main difference between nominal and ordinal data is that ordinal has an order of categories while nominal doesn't.
Nominal data is a group of non-parametric variables, while Ordinal data is a group of non-parametric ordered variables. But when placed on a scale and arranged in a given order (very hot, hot, warm, cold, very cold), they are regarded as ordinal data.
For example, a simple logical data model for a retail company can organize all necessary facts by store, product, and time, which are three common business perspectives typically associated with a retail business. Logical data models are independent of a physical data storage device.
The Entity-Relationship diagram gives a logical structure of the database graphically.
In metadata, the term data element is an atomic unit of data that has precise meaning or precise semantics. A data element has: An identification such as a data element name. Optional enumerated values Code (metadata) A list of synonyms to data elements in other metadata registries Synonym ring.
Discussion ForumQue.Which of the following is a Data Model?b.Relational data modelc.Object-Based data modeld.All of the aboveAnswer:All of the above
Select is used to select all columns of a specific tuple. Project is used to select specific columns.
ONTOGENY. : The development or course of development of an individual organism. A behavior with ontogenic origins is one that was acquired during the lifetime of the individual as a result of contingencies of reinforcement.