IntroducingSigmaLake, a cutting-edge document management system built on blockchain technology, ensuring secure, decentralized, and transparent storage.

• 1. By uploading documents to SigmaLake, users generate a unique digital fingerprint (Hash) and store them encrypted, tamper-proof, and immutable.
• 2. Users maintain control and ownership, with transparent audit trails and access controls.
• 3. SigmaLake offersdata integrity, version control, and secure sharing (Hash) capabilities, revolutionizing document management for individuals and organizations.

Secure. Transparent. Decentralized. Free.

What is Hashing?

Imagine you have a big jar of sand, and inside that jar, you've mixed in a handful of glitter. The glitter represents your document's unique contents.

When you upload your document to SigmaLake, it's like taking a picture of the glitter in the jar. The picture (or "hash") captures the exact arrangement of the glitter at that moment.

If someone tries to add, remove, or rearrange the glitter (i.e., alter the document), the picture (hash) would no longer match the new arrangement. This means the hash acts as a digital fingerprint, verifying that the document remains unchanged and intact.

In short, hashing:

• 1. Takes a snapshot of your document's contents (glitter in the jar)
• 2. Creates a unique digital fingerprint (picture of the glitter)
• 3. Verifies the document's integrity and authenticity

SigmaLake's hashing process is like a digital fingerprint scanner that scans your document and stores its unique fingerprint (hash) for secure storage and sharing.

SigmaLake uses this hashing process to securely store and share your documents, ensuring they remain tamper-proof and immutable!

Data integrity and version control are related concepts that ensure the accuracy, reliability, and consistency of data or code over time.

Data Integrity:

Data integrity refers to the accuracy, completeness, and consistency of data. It ensures that data is:

• 1. Accurate: Free from errors or inaccuracies.
• 2. Complete: All required data is present.
• 3. Consistent: Data is consistent across all systems and sources.

Data integrity is crucial in various fields like databases, data science, and cybersecurity

Version Control:

Version control, also known as source control, is a system that manages changes to code, documents, or other digital content over time. It helps track

• 1. Changes: All modifications, updates, or edits made to the content.
• 2. History: A record of all changes, including who made them and when.
• 3. Collaboration: Multiple users can collaborate on the same content without conflicts.

In summary, data integrity ensures the quality and reliability of data, while version control manages changes to content over time, ensuring collaboration and tracking of modifications.

Free to Use

We're offering SigmaLake free of charge, empowering individuals and organizations to experience the future of document management today.

Visit the website to learn more and register for early access!