What strategies can you use to reduce latency in cloud storage for DW?
Cloud storage is a popular option for data warehousing (DW) because of its scalability, cost-effectiveness, and flexibility. However, one of the main challenges of using cloud storage for DW is latency, which is the delay between the request and the response of data. Latency can affect the performance and user experience of DW applications, especially for real-time or near-real-time analytics. In this article, you will learn what causes latency in cloud storage and what strategies you can use to reduce it for your DW.
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Sharnisha ShareefGoogle Certified Professional Cloud Architect | Google Certified Data Engineer | JLPT N4 | Principal Engineer at QBurst…
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Amira BedhiafiData Witch | Microsoft MVP Data Platform | Microsoft MVP Power BI | Power BI Super User | C# Corner MVP | Full Stack…
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Kalaiyarasan VenkatesanPrincipal Software Engineer | Ex-Adobe | Cloud & Big Data | AI/ML | Spark | AWS & Azure Expert