Table of Contents
Which of the following is a function of data warehouse?
Functions of Data Warehouse Tools and Utilities Data Extraction − Involves gathering data from multiple heterogeneous sources. Data Cleaning − Involves finding and correcting the errors in data. Data Transformation − Involves converting the data from legacy format to warehouse format.
What are the functions of a data warehouse quizlet?
What are the functions of a data warehouse? A data warehouse takes data from data manufacturers (operational systems and other sources), cleans and processes the data, and locates the data on the shelves of the data warehouse.
What are the functions of databases and data warehouses?
While databases use Online Transactional Processing (OLTP) to store current transactions and enable fast access to specific transactions for ongoing business processes, data warehouses also enable cubes to store large quantities of historical data, automate and pre-calculate evaluations of that data, and enable fast, May 28, 2019.
What are the features of data warehouse?
The Key Characteristics of a Data Warehouse Some data is denormalized for simplification and to improve performance. Large amounts of historical data are used. Queries often retrieve large amounts of data. Both planned and ad hoc queries are common. The data load is controlled.
What is data warehousing What are the functions of data warehouse elaborate?
Data warehousing is designed to enable the analysis of historical data. Comparing data consolidated from multiple heterogeneous sources can provide insight into the performance of a company. Warehoused data must be stored in a manner that is secure, reliable, easy to retrieve, and easy to manage.
Which one is not a kind of data warehouse application?
Discussion Forum Que. Which one is not a kind of data warehouse application b. Analytical processing c. Transaction processing d. Data mining Answer:Transaction processing.
In which step of populating a data warehouse is data put into the data warehouse?
ETL is a process that extracts the data from different source systems, then transforms the data (like applying calculations, concatenations, etc.) and finally loads the data into the Data Warehouse system. Full form of ETL is Extract, Transform and Load.
What is a major concern about using data from data warehouses?
A significant issue in data warehousing is the quality control of data. The major concerns are: quality and consistency of data.
What is OLAP and how does it differ from OLTP?
OLTP and OLAP both are the online processing systems. OLTP is a transactional processing while OLAP is an analytical processing system. The basic difference between OLTP and OLAP is that OLTP is an online database modifying system, whereas, OLAP is an online database query answering system.
What are the types of data warehouse?
The three main types of data warehouses are enterprise data warehouse (EDW), operational data store (ODS), and data mart. Enterprise Data Warehouse (EDW) An enterprise data warehouse (EDW) is a centralized warehouse that provides decision support services across the enterprise. Operational Data Store (ODS) Data Mart.
What is data warehousing with example?
Also known as enterprise data warehousing, data warehousing is an electronic method of organizing, analyzing, and reporting information. For example, data warehousing makes data mining possible, which assists businesses in looking for data patterns that can lead to higher sales and profits.
What is data warehouse in data mining?
A data warehouse is database system which is designed for analytical analysis instead of transactional work. Data mining is the process of analyzing data patterns. Data is stored periodically. Data is analyzed regularly. Data warehousing is the process of extracting and storing data to allow easier reporting.
What are data mining functionalities?
Data mining functionalities are used to specify the kind of patterns to be found in data mining tasks. Data mining tasks can be classified into two categories: descriptive and predictive. Descriptive mining tasks characterize the general properties of the data in the database.
What is the need of data warehouse?
The need for Data Warehouse is to generate reports, feed data to Business Intelligence (BI) tools, forecast trends, and train Machine Learning models. Data Warehouse stores data from multiple sources such as APIs, Databases, Cloud Storage, etc., using the ETL (Extract Load Transform) process.
What are the three layers of data warehouse architecture?
Data Warehouses usually have a three-level (tier) architecture that includes: Bottom Tier (Data Warehouse Server) Middle Tier (OLAP Server) Top Tier (Front end Tools).
How many categories of functions are involved in data mining?
Basically, data mining has four basic functions, namely: Prediction function. The process of finding patterns from data using several variables to predict other variables of unknown type or value. Function Description (description). The process of finding an important characteristic of data in a database.
Which of the following is not a data mining task?
Q. Which of the following activities is NOT a data mining task? A. Predicting the future stock price of a company using historical records B. Monitoring and predicting failures in a hydropower plant C. Extracting the frequencies of a sound wave D. Monitoring the heart rate of a patient for abnormalities.
Which is not an ETL tool?
D Visual Studio is not an ETL tool.
Which of the following is not function of warehouse Mcq?
Advertising is not a function of warehouses.
What is a data warehouse system?
A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics. Data warehouses are solely intended to perform queries and analysis and often contain large amounts of historical data. A relational database to store and manage data.
Which of the following is not a data discretization method?
4. Which of these methods is not a method of discretization? Explanation: Gauss-Seidel method is a method of solving the discretized equations. Finite difference method, finite volume method and spectral element method are all methods of discretization.
Which is an OLAP operation?
OLAP consists of three basic analytical operations: consolidation (roll-up), drill-down, and slicing and dicing. Consolidation involves the aggregation of data that can be accumulated and computed in one or more dimensions.
Which of the following types are extraction techniques are used to populate data warehouse?
There are two types of logical extraction: Full Extraction. Incremental Extraction.
Which of the following is the first step in the ETL process?
The first step of the ETL process is extraction. In this step, data from various source systems is extracted which can be in various formats like relational databases, No SQL, XML, and flat files into the staging area.
