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Data platform trinity: Competitive or complementary?

IBM Journey to AI blog

Data platform architecture has an interesting history. A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution.

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Enabling the Customer Data Platform with Databricks ETL Support

databricks

Customer Data Platforms (CDPs) play an increasingly important role in the enterprise marketing landscape. By bringing together data from a wide variety of.

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Amperity recognised as a leader in Snowflake’s modern marketing data stack report

AI News

Amperity was identified in Snowflake’s report as a leader in the Customer Data Activation category for data activation solutions, such as customer data platforms, customer engagement platforms, reverse ETL providers, and others, which are designed to make the activation process faster and easier.

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Supercharge your data strategy: Integrate and innovate today leveraging data integration

IBM Journey to AI blog

Data is the differentiator as business leaders look to utilize their competitive edge as they implement generative AI (gen AI). Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement.

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Learn the Differences Between ETL and ELT

Pickl AI

Summary: This blog explores the key differences between ETL and ELT, detailing their processes, advantages, and disadvantages. Understanding these methods helps organizations optimize their data workflows for better decision-making. What is ETL? ETL stands for Extract, Transform, and Load.

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What is ETL? Top ETL Tools

Marktechpost

Extract, Transform, and Load are referred to as ETL. ETL is the process of gathering data from numerous sources, standardizing it, and then transferring it to a central database, data lake, data warehouse, or data store for additional analysis. Involved in each step of the end-to-end ETL process are: 1.

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Twilio Segment: Transforming customer experiences with AI

AI News

HT: When companies rely on managing data in a customer data platform (CDP) in tandem with AI, they can create strong, personalised campaigns that reach and inspire their customers. AN: What other emerging AI trends should people be keeping an eye on? Here are four trends in AI personalisation.

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