Results for tag: "Data Wrangling"

Data Wrangling is a process of transforming and mapping data from one format to another. It is a key component of data storage and management, as it allows for the efficient and effective storage and retrieval of data. Data Wrangling is used to clean, normalize, and transform data into a format that is more suitable for analysis. This process can involve a variety of tasks, such as data cleansing, data integration, data transformation, and data enrichment. Data Wrangling is an important part of data storage and management, as it allows for the efficient and effective storage and retrieval of data. It is also used to ensure data accuracy and consistency, as well as to reduce the amount of time and effort required to analyze data. Some companies in the Data Wrangling market include Alteryx, Trifacta, Paxata, Tamr, and Datawatch. These companies provide a range of services, such as data cleansing, data integration, data transformation, and data enrichment. They also offer a variety of tools and technologies to help organizations manage their data more effectively. Show Less Read more