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Schema Evolution in Data Lakes

KDnuggets

Whereas a data warehouse will need rigid data modeling and definitions, a data lake can store different types and shapes of data. In a data lake, the schema of the data can be inferred when it’s read, providing the aforementioned flexibility.

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Connect natively to Dremio in Tableau Online to query your data lakes

Tableau

Our technology partner Dremio offers a next-generation data lake engine to securely query a customer’s cloud data lake storage directly. In 2020, they built a connector to their platform using our Connector SDK, which Tableau made available via our Extension Gallery. Now, with the Tableau 2021.2

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Connect natively to Dremio in Tableau Online to query your data lakes

Tableau

Our technology partner Dremio offers a next-generation data lake engine to securely query a customer’s cloud data lake storage directly. In 2020, they built a connector to their platform using our Connector SDK, which Tableau made available via our Extension Gallery. Now, with the Tableau 2021.2

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Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker

AWS Machine Learning Blog

Data and governance foundations – This function uses a data mesh architecture for setting up and operating the data lake, central feature store, and data governance foundations to enable fine-grained data access. This framework considers multiple personas and services to govern the ML lifecycle at scale.

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What is the Snowflake Data Cloud and How Much Does it Cost?

phData

In this blog, we’ll explain what makes up the Snowflake Data Cloud, how some of the key components work, and finally some estimates on how much it will cost your business to utilize Snowflake. What is the Snowflake Data Cloud? What is a Data Lake? What is the Difference Between a Data Lake and a Data Warehouse?

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Best 8 Data Version Control Tools for Machine Learning 2024

DagsHub

However, these tools have functional gaps for more advanced data workflows. Lake File System ( LakeFS for short) is an open-source version control tool, launched in 2020, to bridge the gap between version control and those big data solutions (data lakes). This can also make the learning process challenging.

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Simplify continuous learning of Amazon Comprehend custom models using Comprehend flywheel

AWS Machine Learning Blog

For example, since 2020, COVID has become a new entity type that businesses need to extract from documents. In order to do so, customers have to retrain their existing entity extraction models with new training data that includes COVID. One for the data lake for Comprehend flywheel.