por Trifacta is a tool used for data preparation that allows you to quickly and efficiently execute data transformation and analysis processes..
The processes that can be executed through Trifacta mainly seek to provide greater quality to the data that comes in, which will generate better business possibilities for analysts and therefore better business decision making.
Trifacta uses visual interaction with artificial intelligence to provide higher quality data than other platforms.
What does Trifacta do?
What Trifacta does is clean the data of impurities. When the datasets arrive at the application, they contain raw data, that is, data that has not been processed and, therefore, it is not known what type of information they contain. What Trifacta does is clean all that information and provide it with higher quality. For example, information such as missing fields or atypical or erroneous data are reflected in the form of errors within a functionality offered by the application called a quality bar.
The quality bar allows you to evaluate where errors are located and how best to correct themsince the program not only shows what data is wrong and where it is, but also provides a suggestions feature where you can choose, among different options, the most appropriate depending on what you want to do with the damaged data.
Suggestions box
One of the most interesting features of Trifacta is its suggestions box. This works as a wizard that tells us, depending on the nature of the error that has occurred in the data, what we should do. If, for example, we have fields in the telephone column where there are inconsistencies, such as two numbers in the same field, what Trifacta does is suggest several things:
The first would be split on values matching, that is, divide into matching values. This means that, if this option is chosen, the values will be divided into different fields and, therefore, into different columns. In this case the values would be divided into two columns, which would be called «TLF1» and «TLF2».
The second would be extract values matching, which translates as extracting values that match, an option according to which the added value of the phone field would be eliminated. The third option, count values matchingtranslates as counting values that match and consists of counting the values of each field that contain damaged records.
Thus, we have what may be countless suggestions that accumulate to give us the opportunity to choose the best option for the data we are managing and ensure good quality thereof.
If the search process is very difficult for you due to the number of suggestions that appear in the suggestions box, all you have to do is go to the top of the box and copy the beginning of the function you want to use. In this way, Trifacta will filter information from the suggestions it will show you.
You want to know more?
Trifacta is a very useful tool, especially when we are looking to organize our data in an easy and fast way. Remember that you can continue learning more about this tool and its different functionalities in our Big Data, Artificial Intelligence & Machine Learning Full Stack Bootcamp. With the guidance of professionals, you will receive theoretical and practical training to enter the IT sector and stand out from your competition. Don’t wait any longer and request information!