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A Detailed Introduction on Data Lakes and Delta Lakes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale. The post A Detailed Introduction on Data Lakes and Delta Lakes appeared first on Analytics Vidhya.

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

Flipboard

It enables different business units within an organization to create, share, and govern their own data assets, promoting self-service analytics and reducing the time required to convert data experiments into production-ready applications. We discuss this in more detail later in this post.

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Sneak peek at Microsoft Fabric price and its promising features

Dataconomy

Microsoft has made good on its promise to deliver a simplified and more efficient Microsoft Fabric price model for its end-to-end platform designed for analytics and data workloads. Microsoft’s unified pricing model for the Fabric suite marks a significant advancement in the analytics and data market.

Power BI 194
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How not to drown in your data lake with data activation

Dataconomy

In today’s digital era, data is the key that allows companies to unlock better decision-making, understand customer behavior and optimize campaigns. However, simply acquiring all available data and storing it in data lakes does not guarantee success.

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Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning Blog

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. The robust security features provided by Amazon S3, including encryption and durability, were used to provide data protection.

AWS 86
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Conformed dimensions

Dataconomy

This ensures that different business processes can utilize the same dimensional data, enabling a consistent understanding and analysis of information, regardless of the source. The primary purpose of conformed dimensions is to provide clarity and uniformity, which are essential for effective reporting and analytics.

ETL 91
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Data Lakes Vs. Data Warehouse: Its significance and relevance in the data world

Pickl AI

Discover the nuanced dissimilarities between Data Lakes and Data Warehouses. Data management in the digital age has become a crucial aspect of businesses, and two prominent concepts in this realm are Data Lakes and Data Warehouses. It acts as a repository for storing all the data.