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5 misconceptions about cloud data warehouses

IBM Journey to AI blog

Companies are shifting their investments to cloud software and reducing their spend on legacy infrastructure. In 2021, cloud databases accounted for 85% 1 of the market growth in databases. What is holding back the other 50% of datasets on-premises?

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Ensure Success with Trusted Data When Moving To The Cloud

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As companies strive to leverage AI/ML, location intelligence, and cloud analytics into their portfolio of tools, siloed mainframe data often stands in the way of forward momentum. Forbes reports that 84% of CEOs are concerned about the integrity of the data they use to make important decisions every day.

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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. As a result, users boost pipeline performance while ensuring data security and controls.

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Data Integrity vs. Data Quality: How Are They Different?

Precisely

However, simply having high-quality data does not, of itself, ensure that an organization will find it useful. That is where data integrity comes into play. Data quality is an essential subset of data integrity, but it is possible to have good data quality without also having data integrity.

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Advance environmental sustainability in clinical trials using AWS

AWS Machine Learning Blog

According to sources from government databases and research institutions, there are around 300,000–600,000 clinical trials conducted globally each year, amplifying this impact by several hundred thousand times. Amazon Redshift is a fully managed cloud data warehouse that trial scientists can use to perform analytics.

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IBM to help businesses scale AI workloads, for all data, anywhere

IBM Journey to AI blog

Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1] 1] It also offers built-in governance, automation and integrations with an organization’s existing databases and tools to simplify setup and user experience.