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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

Flipboard

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. Choose Delete stack.

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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.

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Using Matillion Data Productivity Cloud to call APIs

phData

Matillion’s Data Productivity Cloud is a versatile platform designed to increase the productivity of data teams. It provides a unified platform for creating and managing data pipelines that are effective for both coders and non-coders. Each API has its own set of requirements.

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Agentic AI and AI‑ready data: Transforming consumer‑facing applications

Dataconomy

From ordering groceries to booking travel, consumers will increasingly rely on AI agents to handle interactions that once required direct human effort. In other words, Snowplow s data pipeline can serve as the eyes and ears of your AI agents, feeding them the AI-ready behavioral data they need to make intelligent decisions.

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

phData

Source data formats can only be Parquer, JSON, or Delimited Text (CSV, TSV, etc.). Streamsets Data Collector StreamSets Data Collector Engine is an easy-to-use data pipeline engine for streaming, CDC, and batch ingestion from any source to any destination.

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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.

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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. Your customer data game will never be the same.