Showing posts with the label Tokenization

Featured Post

How to Check Column Nulls and Replace: Pandas

Here is a post that shows how to count Nulls and replace them with the value you want in the Pandas Dataframe. We have explained the process in two steps - Counting and Replacing the Null values. Count null values (column-wise) in Pandas ## count null values column-wise null_counts = df.isnull(). sum() print(null_counts) ``` Output: ``` Column1    1 Column2    1 Column3    5 dtype: int64 ``` In the above code, we first create a sample Pandas DataFrame `df` with some null values. Then, we use the `isnull()` function to create a DataFrame of the same shape as `df`, where each element is a boolean value indicating whether that element is null or not. Finally, we use the `sum()` function to count the number of null values in each column of the resulting DataFrame. The output shows the count of null values column-wise. to count null values column-wise: ``` df.isnull().sum() ``` ##Code snippet to count null values row-wise: ``` df.isnull().sum(axis=1) ``` In the above code, `df` is the Panda

Tokenization: Vault based Vs Vault-less

Tokenization means generating a random number as an alternative for a Credit card (PAN) number. The random number can be Numeric/Non-numeric. It is in such a format that others cannot decode it.    *** The popular tokenization server is the Vault server. It generates a random Token for each transaction customer made at Merchant outlets. You can find how card numbers are masked with junk characters in the pdf provided. Here is the  Visa Security Tokenization Pdf. Two Top Tokenization Servers. Vault based server Vault-less server What is Tokenization? 1. Vault based server It stores a  Card number (PAN) and a Token  in a Table of the Teradata database as Key and value pairs. Due to the growing volume of transactions, the handling of the database became a big challenge for acquirers.  For each transaction, the vault server stores a record. That row contains both the Credit card number and its Token. When you use the same card multiple times, it generates different Tokens.  It is