There is a large amount of communication, the process of uploading and sending data is very long. Due to this, the performance of the website is also affected. 

Various types of data can be collected such as non-usable data, user data, web-scrape data, analytics log, product listing, input data, etc. Different types of websites and content marketing and artificial intelligence and digital marketing tools with different techniques we can promote content data can be customized, management , monitoring, analysis.

Data comes to the website in these ways. Due to more data, the speed, performance of the website and its working is also affected. Due to this, the loading process increases. Buffering has to be done to retrieve the data. Buffering is a process in which if the website does not get the element data, then it stops the whole process and due to this the user does not get support and user comfort, due to which the user leaves the website or web page.Cookiebot, OneTrust, Sucuri, Google Drive, ClickCease Etc. provide website security, data security, user security etc.

Some techniques with the help of which we can clean the data.

   Validation:

With the help of website coding, we can create some rule system so that the default data will not come to us and it will not have any effect on data storage, only accurate data will come to us from the user. With its help, security can be given in features like user permission verification. Validation can be of different types, required field validation, data validation, formatting validation, range validation, length validation, etc. With its help, we can install authentic data storage, customized data, accurate data, useful data.
Input Sanitization, SQL Injection Checks, File Validation These are other and important validations which perform important functions like security from malware, checking queries, deciding the size and range of the file.

    Logging track and monitoring stage:

It is very important to maintain the website server. It is very important to set the log period timing. Sometimes a random user visits the website and exits the browser without saving or closing the website. With the help of Activity Event Listener, the user's activities are monitored such as mouse movement and click, key press, etc. If such movements are not detected, the user is considered as non-active and is removed from the website. Hence, only the active users will be given a response by the server.
 

Google Cloud Dataprep ,OpenRefine ,Microsoft Power Query Important tool for data cleaning.

   Google Cloud DataPrep:

This is a very important tool for data cleaning. It also gives automatic suggestions to remove duplicate data, data with incorrect formatting and extra non-usable data. It cleans the data stored in the form of contact form data, user feedback data, etc. received from the website.

   OpenRefine: 

This is the best tool for data cleaning and it is open source. It performs important functions for cleaning scattered data and scattered data, transforming data, analyzing data. Its other role is tasks like sorting, filtering, transforming, duplicate data analysis.

   Microsoft Power Query:

It works for data cleaning. It does important work for importing, cleaning, transforming data. It also does work like data connection and data transformation. The features given by it also provide important features like sorting, filtering, data accuracy, removing duplicate data, data merging and data recording.

   IBM Infosphere Information Server:

With its help, tasks like data cleaning, data transforming, data integration, data processing can be done. With its help, solutions can be found to data problems like duplicate data, missing data, wrong data, and it also provides facilities like data formation, standardization, validation, data matching.

   Oracle Enterprise Data Quality:

 It is very useful for data quality and data cleaning. It provides facilities like complete data, accurate data, non duplicate data, correct data formatting. It is helpful for data analysis. It analyzes the data to ensure that there is no problem like error, incompleteness, etc. It works on data standardization like checks whether address, phone number, contact data follow the specfic format.

   Integrate.io: 

It is a data pipeline platform that can clean data. It is useful for connecting, loading and transforming data. Data connecting, data transform, database connect etc. are its important features.

Artificial Intelligence based cloud server like Microsoft Azure, Google Cloud, Amazon Web Services, Nvidia can use cloud base servers. It also provides facilities like load balancing, data storage, data retention, backup. With its help, we can store data in large amounts and it will not affect the speed, performance and working of the website and when there is no problem like data overload on the website, the speed ,performance and working of the website increases.