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14 Top Data Pipeline Key Terms Explained

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 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...
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Tokenization: Vault based Vs Vault-less

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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.   
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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.


Vault vs Vault-less

Two Top Tokenization Servers.

  1. Vault based server
  2. 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 the basic concept of any Token server.  


    The tokenization process


    2. Vault-less Server.


    The Vault-less server is much faster. It generates random numbers based on the Split-algorithm logic. So decoding is harder. For each credit card transaction, it generates a new token.


    Moreover, it does not store card numbers and tokens. It generates both numeric or alphanumeric Tokens. Here is the list of top differences between the Vault and Vaultless servers.


    The principle behind this is to generate a random number and send it out.


    Comments

    1. SuzyOctober 14, 2018 at 4:34 PM

      Hello Srini

      Just read your article on vault -v- vaultless, this question can only be answered depending on the vault itself - was it built to be scalable? Does it store every transaction? Quite simply no it does not, but like i say it all depends on how the vault was built. Is it more secure than vaultless - definately.

      ReplyDelete
      Replies
      1. SriniOctober 26, 2018 at 7:06 PM

        Vault-less is reversible security method that replaces sensitive data with fake data that looks and feels just like the real thing. So vault-less is advanced than Vault.

        Delete

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