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Is web3 data storage ushering in a new era of privacy?

Dataconomy

The main solutions on the market are decentralized file storage networks (DSFN) like Filecoin and Arweave, and decentralized data warehouses like Space and Time (SxT). Built to seamlessly integrate with existing enterprise systems, the data warehouse lets businesses tap into blockchain data while publishing query results back on-chain.

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Reinventing the data experience: Use generative AI and modern data architecture to unlock insights

AWS Machine Learning Blog

The combination of large language models (LLMs), including the ease of integration that Amazon Bedrock offers, and a scalable, domain-oriented data infrastructure positions this as an intelligent method of tapping into the abundant information held in various analytics databases and data lakes.

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How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Journey to AI blog

Netezza Performance Server (NPS) has recently added the ability to access Parquet files by defining a Parquet file as an external table in the database. This allows data that exists in cloud object storage to be easily combined with existing data warehouse data without data movement. The data definition.

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Data Lineage Through the Decades: Where It’s Going (And Where It’s Been)

Alation

The product collected an impressive amount of metadata, from the user interface to the database structure. It wouldn’t be until 2013 that the topic of data lineage would surface again – this time while working on a data warehouse project.

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. FAQs What is a Data Lakehouse?