Moving On-Premise Data to Azure Cloud ADLS
Blog post from Starburst
Microsoft's Azure cloud platform, particularly Azure Data Lake Storage (ADLS), has become a popular choice for companies migrating from on-premise data lakes due to its low cost and high performance. Starburst facilitates this transition by offering a high-performance, concurrent query engine that allows querying data directly from various sources like ADLS, Synapse, SQL databases, and even NoSQL systems without the need for data migration. Starburst's tools support ANSI SQL and offer features like Cached Views for enhanced performance and a Delta Lake Connector for transactional data operations, which are crucial for data compliance and updates. Additionally, the Starburst Stargate feature enables efficient query processing across data spread in different locations, including on-premises and multi-cloud environments, minimizing egress costs and improving performance. This approach helps enterprises easily manage and query their diverse data landscapes using standard SQL, making data access seamless and efficient.
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