Remove Cloud Data Remove Data Engineering Remove Data Silos
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How to Build a Data Mesh in Snowflake

phData

A data mesh is a decentralized approach to data architecture that’s been gaining traction as a solution to the challenges posed by large and complex data ecosystems. It’s all about breaking down data silos, empowering domain teams to take ownership of their data, and fostering a culture of data collaboration.

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The power of remote engine execution for ETL/ELT data pipelines

IBM Journey to AI blog

According to International Data Corporation (IDC), stored data is set to increase by 250% by 2025 , with data rapidly propagating on-premises and across clouds, applications and locations with compromised quality. There are several styles of data integration.

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Advance environmental sustainability in clinical trials using AWS

AWS Machine Learning Blog

Instead, a core component of decentralized clinical trials is a secure, scalable data infrastructure with strong data analytics capabilities. Amazon Redshift is a fully managed cloud data warehouse that trial scientists can use to perform analytics.

AWS 116
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Data Catalog: Part of the Solution – or Part of the Problem?

Alation

For example, the researching buyer may seek a catalog that scores 6 for governance, 10 for self-service, 4 for cloud data migration, and 2 for DataOps (let’s call this a {6, 10, 4, 2} profile). Not only do such products create data silos – they perpetuate a broken social system that excludes key stakeholders.

DataOps 52
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How to Build ETL Data Pipeline in ML

The MLOps Blog

This article explores the importance of ETL pipelines in machine learning, a hands-on example of building ETL pipelines with a popular tool, and suggests the best ways for data engineers to enhance and sustain their pipelines. Before delving into the technical details, let’s review some fundamental concepts.

ETL 59
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The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData

Here’s how a composable CDP might incorporate the modeling approaches we’ve discussed: Data Storage and Processing : This is your foundation. You might choose a cloud data warehouse like the Snowflake AI Data Cloud or BigQuery. Building a composable CDP requires some serious data engineering chops.

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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.