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What is the purpose of data marts?
A Data Mart is a type of tool used in computing data. Data Warehouses, or data storage servers, use the Data Mart to ensure data is delivered to customers. It is also known as the "access layer" of the warehouse program.
When data in a table becomes redundant?
Data in a table becomes redundant when the same information is stored multiple times across different rows or columns, leading to unnecessary duplication. This can occur when there is a lack of normalization in database design, where related data is not properly organized into separate tables. Redundant data can increase storage costs and complicate data management, making updates and maintenance more difficult. Eliminating redundancy typically involves restructuring the database to ensure that each piece of information is stored only once.
How should measurements be made when gathering data?
measurements should be made precisely to ensure accuracy (:
Because it is often difficult to gather numerical data what information is collected?
Qualitative. *My teacher told me. rofl its quantitative not qualitative
What do outliers indicate?
In statistics, outliers are values outside the norm relative to the rest of collected data. Many times they can skew the results and distort the interpretation of data. They may or may not indicate anything significant; they might just be an anomalous data point that is not significant. It is difficult to tell.
What is the best method to enhance data accurancy?
Use the correct data, and learn maths before performing manipulations.
How does technoology help to ensure a scientist's data is accurate?
Software can complete difficult calculations where humans often makes mistakes.
List the importance of security and data verification?
- To make sure the source data are well defined, documented. - To ensure data accuracy. - To ensure data completeness. - To ensure data consistency. - To ensure the reliability of the data collected.
What is computer and explain its characteristics?
list and explain some important characteristics of a computer?
Why is deep exploration and data collection difficult?
Deep-sea exploration and data collection is difficult because of the underwater fish that are dangerous.
What is extraneous data mean?
Extraneous data refers to information that is not relevant or essential to a particular analysis, study, or decision-making process. This type of data can introduce noise and potentially skew results, making it difficult to draw accurate conclusions. It is important to identify and minimize extraneous data to ensure that analyses are focused and effective.
Why is deep-sea exploration and data collection difficult?
Deep-sea exploration and data collection is difficult because of the underwater fish that are dangerous.
What is one function of a network protocol?
To ensure data delivery.to ensure that data arrives at its destination in the proper sequence
What is the significance of a two-way hash function in cryptography and how does it ensure data integrity and security?
A two-way hash function is important in cryptography because it can convert data into a fixed-size string of characters, making it easier to verify the integrity of the data. This function ensures data integrity and security by generating a unique hash value for each set of data, making it difficult for attackers to tamper with the data without detection.
How does technology help to ensure a scientist's data is accurate?
Technology helps scientists collect and analyze data more efficiently and accurately. Tools like high-tech instruments, sensors, and software can reduce human error, ensure precise measurements, and automate data processing. Additionally, technology allows for data storage and sharing in secure digital formats, promoting transparency and reproducibility in scientific research.
How you can read wordpad 2007 data in wordpad 2003 virsion data?
yes it is ver difficult
Why is data recovery more difficult in database enviorn?
Data recovery in database environments is more difficult due to the complexity of structured data and the interdependencies between tables, which can complicate the restoration process. Additionally, databases often employ transactions and concurrency controls, meaning that incomplete or inconsistent data states can arise during recovery. The need to maintain data integrity and the potential for data corruption further complicate recovery efforts, making specialized tools and techniques necessary. Finally, large databases may have extensive logs and backups, requiring careful management to ensure a successful recovery without data loss.
