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What Is a Data Silo?

Alation

Although organizations don’t set out to intentionally create data silos, they are likely to arise naturally over time. This can make collaboration across departments difficult, leading to inconsistent data quality , a lack of communication and visibility, and higher costs over time (among other issues). What Are Data Silos?

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

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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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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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What Is Data Modernization? 5 Benefits Worth Knowing

Alation

Data producers and consumers alike are working from home and hybrid locations more often. And in an increasingly remote workforce, people need to access data systems easily to do their jobs. This might mean that they’re accessing a database from a smartphone, computer, or tablet. Today, data dwells everywhere.

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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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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.