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

phData

Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. As a fundamental piece of the modern data stack , Snowflake is helping thousands of businesses store, transform, and derive insights from their data easier, faster, and more efficiently than ever before. What is a Data Lake?

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Mainframe Optimization: 5 Best Practices to Implement Now

Precisely

There are three potential approaches to mainframe modernization: Data Replication creates a duplicate copy of mainframe data in a cloud data warehouse or data lake, enabling high-performance analytics virtually in real time, without negatively impacting mainframe performance. Want to learn more?

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What Can AI Teach Us About Data Centers? Part 1: Overview and Technical Considerations

ODSC - Open Data Science

Co-location data centers: These are data centers that are owned and operated by third-party providers and are used to house the IT equipment of multiple organizations. What are the similarities and differences between data centers, data lake houses, and data lakes? Not a cloud computer?

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What Are The Best Third-Party Data Ingestion Tools For Snowflake?

phData

Tips When Considering Streamsets Data Collector: As a Snowflake partner, Streamsets includes very intricate documentation on using Data Collector with Snowflake, including this book you can read here. Data Collector can use Snowflake’s native Snowpipe in its pipelines.

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Deploy a predictive maintenance solution for airport baggage handling systems with Amazon Lookout for Equipment

AWS Machine Learning Blog

The PdMS includes AWS services to securely manage the lifecycle of edge compute devices and BHS assets, cloud data ingestion, storage, machine learning (ML) inference models, and business logic to power proactive equipment maintenance in the cloud. This organization manages fleets of globally distributed edge gateways.

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The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData

Activity Schema Modeling: Capturing the Customer Journey in Action Now that we’ve got our Lego blocks of customer data, let’s talk about another game-changing approach that’s shaking up the world of customer data modeling: Activity Schema Modeling. These changes are streamed into Iceberg tables in your data lake.