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The Race For Data Quality in a Medallion Architecture

DataKitchen

The Bronze layer is the initial landing zone for all incoming raw data, capturing it in its unprocessed, original form. This foundational layer is a repository for various data types, from transaction logs and sensor data to social media feeds and system logs.

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AI Data Platform: Key Requirements for Fueling AI Initiatives

Ascend.io

If your core data systems are still running in a private data center or pushed to VMs in the cloud, you have some work to do. To take advantage of cloud-native services, some of your data must be replicated, copied, or otherwise made available to native cloud storage and databases.

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Top Data Lake Vendors (Quick Reference Guide)

Monte Carlo

By accommodating various data types, reducing preprocessing overhead, and offering scalability, data lakes have become an essential component of modern data platforms , particularly those serving streaming or machine learning use cases. Google Cloud Platform and/or BigLake Google offers a couple options for building data lakes.

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Consulting Case Study: Job Market Analysis

WeCloudData

Conclusion WeCloudData helped a client build a flexible data pipeline to address the needs from multiple business units requiring different sets, views and timelines of job market data.

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Consulting Case Study: Job Market Analysis

WeCloudData

Conclusion WeCloudData helped a client build a flexible data pipeline to address the needs from multiple business units requiring different sets, views and timelines of job market data.

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Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

Cleaning Bad data can derail an entire company, and the foundation of bad data is unclean data. Therefore it’s of immense importance that the data that enters a data warehouse needs to be cleaned. Key Functions of a Data Warehouse Any data warehouse should be able to load data, transform data, and secure data.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. This big data project discusses IoT architecture with a sample use case.