Databases

A collection of 13 posts tagged with "Databases"

From Data Swamps to Reliable Data Systems: How Iceberg Brought 40 Years of Database Wisdom to Data Lakes

Karthic Rao Karthic Rao Karthic Rao @hackintoshrao on Apache Iceberg |
From Data Swamps to Reliable Data Systems: How Iceberg Brought 40 Years of Database Wisdom to Data Lakes

The data lake was once heralded as the future, an infinitely scalable reservoir for all our raw data, promising to transform it into actionable insights. This was a logical progression from databases and data warehouses, each step driven by the increasing demand for scalability. Yet, in embracing the data lake's scale and flexibility, we overlooked a critical difference.

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Databases on Object Storage - the New Normal

Ugur Tigli Ugur Tigli on Databases |
Databases on Object Storage - the New Normal

When you think about object storage workloads and storage types - databases are increasingly a core workload. The changes are driven by two forces: the availability of high performance object storage and the explosive growth of data and specifically its associated metadata. Because of these two forces, almost every major database vendor now includes S3 compatible endpoints. Further, for many

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Data Science and AI with a SQL Server 2022 Data Lakehouse

Matt Sarrel Matt Sarrel Matt Sarrel @msarrel on SQL |
Data Science and AI with a SQL Server 2022 Data Lakehouse

Microsoft SQL Server 2022 is one of the most commonly implemented enterprise relational databases. Many of the world's most successful companies, regardless of vertical, have significant SQL Server deployments. Thousands of companies have relied on SQL Server for decades. Microsoft has made great strides over the past decade in embracing open-source and standards-compliant technologies. The result is that

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