anonymization | Text anonymization in many languages using Faker | Web Framework library

There are two things that seem important for you

1. anonymity
2. referential integrity

For both of your requirements that solution from the blog article you linked is a bad choice.

Anonymity

Just hashing does not provide anonymity. The article also mentions (but it is not in the code) you probably at least want to add a salt.

Just an example:

A number like 211 will be af9fad5f as a CRC32 hash. If the person you share your data with sees this 8char(32bit) alphanumeric string it probably will assume that this might be a CRC32 hash. The good thing with hashes is you can not easily calculate back starting from af9fad5f to 211. The bad thing is, most short words/ hashes are already precalculated and easy to look up in what is called a rainbow table (e.g. https://md5hashing.net/hash/crc32/af9fad5f).

This basically means everybody could just look up the "clear text" behind the crc32 hashes. (same for all other hashes). Adding a salt prevents this. (this salt must of course be kept secret!)

Referential Integrity The referential integrity is kept. 211 will be always be af9fad5f as a CRC32 hash - this is static and there is no random effect to it. So the Product_ID would stay the same for all your tables. Which is what you need.

But just to be sure I would use SHA256 instead of CRC32. In CRC32 everything will be mapped to a 8chars alphanumeric (32bit). If you have quite a lot of data - there is some chance of hash collisions. This means two numbers/ids in the same table actually having the same hash. With SHA256 this is next to impossible.

Overall I think using the anonymizer package seems ok. (it is not actively maintained - but functionality seems to be ok)

If encryption is occurring at the storage layer then it does not help with the right to be forgotten. If you want to use encryption to solve the right to be forgotten challenge, then I would suggest using a unique encryption key per data subject. If a data subject needs to be forgotten, you can then delete your copy of the encryption key and you have effectively "crypto-shredded" all the data that is protected by that key. For this to work best you would need to carefully design your architecture (e.g. can you keep the key separate to the data, so that it isn't backed-up and find another way to ensure availability of current keys in a DR scenario etc).

A data lookup table is the equivalent of a tokenization service, where you're replacing a data subject's name or other details with a token. By deleting (or altering) the token in the data lookup table you have removed the ability to resolve the token back to the actual data subject. This would provide a lesser degree of assurance as to the level of "forgotten-ness" that had been achieved as you might still be able to identify a data subject indirectly through other information about them. Have a look at https://en.wikipedia.org/wiki/K-anonymity to understand this concept in-depth.

Your error is here:

Let me try to summarize how does DVC store data and I hope you'll be able to figure our from this how much space will be saved/consumed in your specific scenario.

DVC is storing and deduplicating data on the individual file level. So, what does it usually mean from a practical perspective.

I will use dvc add as an example, but the same logic applies to all commands that save data files or directories into DVC cache - dvc add, dvc run, etc.

Let's imagine I have a single 1GB XML file. I start tracking it with DVC:

You can use the Faker package for this which generates a dummy name for you.

Installation:

Right-click on the database, select Tasks; there is Generate Scripts there. Just follow prompts or Google for additional information.

As already mentioned in the comments: Specify in the modules without a test folder to remove the test folder property.

There is no default XML schema for an arbitrary XML file. There are rules of well-formedness given by the W3C XML Recommendation, but those define XML itself rather than the vocabulary and grammar of any given XML schema.

1. When schemaLocation is specified in the XML, see the XSD specified there. For more on schemaLocation, see How to link XML to XSD using schemaLocation or noNamespaceSchemaLocation?
2. When only a namespace is used, see How to locate an XML Schema (XSD) by namespace?
3. When the provider of the XML is available, ask or inspect the source/documentation.
4. When relatively unique/informative element names are used, or if you know the sector/industry google element names or sector/industry and "xml schema".

If none of the above work, go schema-less, or write your own to fit the data.

In the comments, @user2153235 asks:

Is there a prevailing practice (or even a universal, minimal "base" scheme that is defaulted to in the absence of an explicit schema) wherein the atomic element is "item", and any other tag represents an element that is either a string or a structure composed of subordinate elements?

Yes, there is a prevailing practice.

Answer to the question: No, there is no universal, minimal "base" schema – just the rules of well-formedness for XML itself.

The XML in your post is poorly designed:

• Naming is terrible:
  • The root element is named y, yet the content is clearly not a simple y-coordinate or anything else that could be reasonably be described as y.
  • DataFrame-based names have C character suffixes followed by _FieldN numeric suffixes. Unless the C character is meaningful in some domain, the abbreviation ought to be expanded. Hard-wired numerical suffixes on list members are better left implied by position so that the name can lexically signal type without having to decompose.
• Substructure is left unmarked up: Generally, structure shouldn't be buried in micro-formats within strings; mark-up should be imposed so that the XML parser can be leveraged rather than having to implement micro-parsers within an application.

According to Flannel documentation:

At the bare minimum, you must tell flannel an IP range (subnet) that it should use for the overlay. Here is an example of the minimum flannel configuration: