Posts

Showing posts with the label Tokenization

Featured Post

8 Ways to Optimize AWS Glue Jobs in a Nutshell

-
Image
  Improving the performance of AWS Glue jobs involves several strategies that target different aspects of the ETL (Extract, Transform, Load) process. Here are some key practices. 1. Optimize Job Scripts Partitioning : Ensure your data is properly partitioned. Partitioning divides your data into manageable chunks, allowing parallel processing and reducing the amount of data scanned. Filtering : Apply pushdown predicates to filter data early in the ETL process, reducing the amount of data processed downstream. Compression : Use compressed file formats (e.g., Parquet, ORC) for your data sources and sinks. These formats not only reduce storage costs but also improve I/O performance. Optimize Transformations : Minimize the number of transformations and actions in your script. Combine transformations where possible and use DataFrame APIs which are optimized for performance. 2. Use Appropriate Data Formats Parquet and ORC : These columnar formats are efficient for storage and querying, signif
Post a Comment
Read more

Tokenization: Vault based Vs Vault-less

-
Image
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
2 comments
Read more