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What is Data Integration

Details: Data integration is the phase of combining data from several disparate sources. While implementing data integration, it should work on data redundancy, inconsistency, duplicity, etc. In data mining, data integration is a data pre-processing technique that contains merging data from numerous heterogeneous data sources into coherent data to tutorialspoint whiteboard

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What is Data Transformation

Details: Smoothing is a form of data cleaning and was addressed in the data cleaning process where users specify transformations to correct data inconsistencies. Aggregation and generalization provide as forms of data reduction. An attribute is normalized by scaling its values so that they decline within a small specified order, including 0.0 to 1.0. tutorialspoint coding ground

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What is Data Staging

Details: The data staging process imports information either as streams or files, change it, produces integrated, cleaned data, and stages it for loading into data warehouses, data marts, or Operational Data Stores. A data staging tool is accessible, and the data is in a database. The data flow starts so that it appears out of the source system, changes

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What Is Data-Driven Decision-Making

Details: Facts-driven decision making (DDDM) is making decisions that are supported by hard data rather than being intuitive or based solely on observation. Data-driven decision-making has become a lot more basic aspect of many kinds of sectors, including important fields like medicine, transportation, and equipment manufacture, as business technology

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What is Data Aggregation

Details: Data aggregation is a process in which data is gathered and represented in a summary form, for purposes including statistical analysis. It is a kind of information and data mining procedure where data is searched, gathered, and presented in a report-based, summarized format to achieve specific business objectives or processes and/or conduct …

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Understanding Data Tables

Details: Understanding Data Tables. Data Analysis involves browsing data over time and making calculations across time periods. For example, you might have to compare the current year’s profits with the previous year’s profits. Similarly, you might have to forecast the growth and profits in the coming years. For these, you need to use grouping and

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What is Data Dependency

Details: What is Data Dependency? Computer Architecture Computer Science Network. A position in which an instruction is dependent on a result from a sequentially earlier instruction before it can be done its execution. In high-performance processors operating pipeline or superscalar techniques, a data dependency will learn an interruption in the flowing

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How Secure Is Cloud CRM Data

Details: CRM Data Security. CRM software stores sensitive and important customer data. When it comes to security, the cloud-based security environment raises a lot of red flags −. Defending yourself against phishing and malware attacks. Authorized users' authentication. Keeping track of user-sharing rules.

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What is Data Characteristics

Details: The following are some characteristics of data that can strongly affect cluster analysis which is as follows −. High Dimensionality − In high-dimensional data sets, the traditional Euclidean concept of density, which is the several points per unit volume, becomes significant. It is considered that as the multiple dimensions increase, the volume increases growingly, and …

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What is Data Cube

Details: A data cube enables data to be modeled and viewed in several dimensions. It is represented by dimensions and facts. In other terms, dimensions are the views or entities related to which an organization is required to keep records. For instance, AllElectronics can create a sales data warehouse to maintain records of the store’s sales-related

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How to Use Customer Data Efficiently

Details: Data collection is becoming more complex with the introduction of big data and AI, allowing for more granular insights. Customer data is crucial to a successful business plan. Data-driven businesses understand the significance of this and take steps to guarantee that they capture the essential consumer data points to improve customer experience

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What is big data

Details: In simple language, big data is a collection of data that is larger, more complex than traditional data, and yet growing exponentially with time. It is so huge that no traditional data management software or tool can manage, store, or can process it efficiently. So, it needs to be processed step by step via different methodologies.

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Statistics Tutorial

Details: Audience. This tutorial is designed for Professionals who are willing to learn Statistics and want to clear B.A., B.Sc., B.COM, M.COM and other exams. This tutorial will give you great understanding on concepts present in Statistics syllabus and after completing this preparation material you will be at intermediate level of experties from where

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What is Data Reduction

Details: By reducing the data, the efficiency of the data mining process is improved which produces the same analytical results. Data reduction aims to define it more compactly. When the data size is smaller, it is simpler to apply sophisticated and computationally high-priced algorithms. The reduction of the data may be in terms of the number of rows

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What is Data Discretization

Details: The data discretization techniques can be used to reduce the number of values for a given continuous attribute by dividing the range of the attribute into intervals. Interval labels can be used to restore actual data values. It can be restoring multiple values of a continuous attribute with a small number of interval labels therefore decrease

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What is Data Cleaning

Details: What is Data Cleaning? Data cleaning defines to clean the data by filling in the missing values, smoothing noisy data, analyzing and removing outliers, and removing inconsistencies in the data. Sometimes data at multiple levels of detail can be different from what is required, for example, it can need the age ranges of 20-30, 30-40, 40-50, and

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What is Data Reconciliation

Details: The phrase data reconciliation DataSource is used for DataSources that are utilized as a reference for available the software data in the source precisely and thus enable us to draw comparisons to the source information. Data Model − The data model is located on 3.x objects (data flow with transfer rules). The productive DataSource needs data

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What is Data Warehouse

Details: A data warehouse is specifically designed to support management decisions. In simple terms, a data warehouse defines a database that is maintained independently from an organization’s operational databases. Data warehouse systems enable the integration of multiple application systems. They provide data processing by offering a solid platform

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What is a Data Model in DBMS

Details: What is a Data Model in DBMS? It is a collection of concepts that can be used to describe the structure of a database. The structure of the database means data types, relationships and constraints that should hold the data nothing but it provides the necessary means to achieve the abstraction. A Model is basically a conceptualization between

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Introduction to Data Science for Complete Beginners

Details: Data science and machine learning is one of the hottest fields in the market and has a bright future. In the past ten years, many courses have appeared that explains the field in a more practical way than in theory. During my experience in counseling and mentoring, I faced many obstacles, the most important of which was the existence of

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What is the GDPR, or General Data Protection Regulation

Details: Data Protection Standardization − GDPR compliance is assessed by Data Protection Agencies from each country, as noted in the second paragraph. Although independent agencies conduct these compliance audits, the EU-wide standardization of the regulatory environment ensures that once an organization is GDPR compliant, it is free to operate

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What is Data Mining

Details: Data Mining Data Structure Database. Data mining is the process of finding useful new correlations, patterns, and trends by transferring through a high amount of data saved in repositories, using pattern recognition technologies including statistical and mathematical techniques. It is the analysis of factual datasets to discover unsuspected

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What is data masking

Details: Data Masking. To secure sensitive data, data masking is the technique of modifying some data components within data storage so that the structure remains similar, but the information is changed. Data masking ensures that sensitive client data is not accessible outside the allowed production environment. This is particularly frequent in settings

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What is Data Mining Metrics

Details: Data mining is one of the forms of artificial intelligence that uses perception models, analytical models, and multiple algorithms to simulate the techniques of the human brain. Data mining supports machines to take human decisions and create human choices. The user of the data mining tools will have to direct the machine rules, preferences

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What is data mining and why is it important

Details: Data that is "noisy" is corrupted or poorly organized and contains irrelevant information. As a result, before mining, a data analyst must extract essential data from the data collection or identify techniques to remove noisy data. Scalability. Larger data sets necessitate greater data mining resources. Scaling is tough for organizations that

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Database Languages

Details: Data Definition Language. The language is used to create database, tables, alter them, etc. With this, you can also rename the database, or drop them. It specifies the database schema. The DDL statements include −. CREATE: Create new database, table, etc. ALTER: Alter existing database, table, etc. DROP: Drop the database.

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Test Data Generation (What, How to, Example, Tools)

Details: Below are some examples of such tools −. DTM Test Data generator is a completely configurable program that creates data, tables (views, processes, etc) for database testing (performance testing, QA testing, load testing, or usability testing) reasons.

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What is the difference between data and information in DBMS

Details: The major differences between Data and Information are as follows −. Data is the raw fact. It is a processed form of data. It is not significant to a business. It is significant to a business. Data is an atomic level piece of information. It is a collection of data. Example: Product name, Name of student.

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What is Data Encoding

Details: Data is sent in the structure of electrical signals. These electrical signals can have an analog signal (analog waveform), which are continuous and non-discrete. They gradually change from high to low and low to high voltage values or a form of the digital signal represented by discrete voltage levels having abrupt changes in high and low

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What is the data Dictionary or metadata in DBMS

Details: A Data Dictionary is an integral part of a database. It holds the information about the database and the data that it stores called as metadata. A meta data is the data about the data. It is the self-describing nature of databases. It holds the information about each data element in the database. Such as names, types, range of values, access

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What is data Abstraction in DBMS

Details: Data Abstraction is a process of hiding unwanted or irrelevant details from the end user. It provides a different view and helps in achieving data independence which is used to enhance the security of data. The database systems consist of complicated data structures and relations. For users to access the data easily, these complications are

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