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Data warehouse architectural design Types of data models and dimensions Best practices for implementing and managing enterprise data warehouse in 2022 What is a data warehouse?
Hadoop may have fizzled out as a data platform, but it laid the groundwork for an open data architecture that continues to grow and evolve today, largely in the cloud. We got a peek at the future of ...
In this world of so-called digital transformation and cloud computing that drives our always-on über-connected lifestyles, surely it would be useful to understand how many types of data are out ...
In fact, by 2024, more than three-quarters of current data lake users will be investing in this type of hybrid “data lakehouse” architecture to enhance the value generated from their ...
Discover best practices that allow data pipelines to scale and support both structured and unstructured data.
A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.
Grammarly adopted the medallion architecture while migrating from their in-house data lake, storing Parquet files in AWS S3, to the Delta Lake lakehouse. The company created a new event store for ...
In the rapidly evolving landscape of cybersecurity, zero-trust architecture has emerged as a critical framework for protecting digital assets and sensitive information. As organizations struggle ...
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