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Titlebook: Mastering Microsoft Fabric; SAASification of Ana Debananda Ghosh Book 2024 Debananda Ghosh 2024 Microsoft office.Open AI.AI integration.Dat

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樓主: 選民
11#
發(fā)表于 2025-3-23 13:04:58 | 只看該作者
The Evolution of Analytics,s-a-service (SaaS) architecture. Microsoft Fabric provides high-performing business intelligence, machine learning, big data, and artificial intelligence capabilities at scale. Microsoft Fabric compiles data engineering, data science, business intelligence, data integration, real-time analytics, dat
12#
發(fā)表于 2025-3-23 16:31:27 | 只看該作者
OneLake and Lakehouses for Data Engineers,ric workspace to explore some sample datasets. You will also learn how to explore some datasets using Spark notebooks in Fabric and Fabric SQL endpoints. We will go through the steps to visualize and monitor query results with a few clicks. Figure 3-1 depicts the Synapse Data Engineering canvas of t
13#
發(fā)表于 2025-3-23 21:32:34 | 只看該作者
14#
發(fā)表于 2025-3-24 02:04:45 | 只看該作者
15#
發(fā)表于 2025-3-24 03:51:59 | 只看該作者
https://doi.org/10.1007/979-8-8688-0131-0Microsoft office; Open AI; AI integration; Data Mesh foundation; One lake; Cross cloud data virtualizatio
16#
發(fā)表于 2025-3-24 10:34:07 | 只看該作者
17#
發(fā)表于 2025-3-24 12:50:56 | 只看該作者
18#
發(fā)表于 2025-3-24 15:04:54 | 只看該作者
19#
發(fā)表于 2025-3-24 19:33:43 | 只看該作者
Data Warehousing in Microsoft Fabric,viously, to build the right data architecture, data professionals had to decide whether they wanted to use a data warehouse or a data lake or a combination of both. For each workload, they would need to consider the data volume, transaction logs, and business intelligence needed before choosing a platform.
20#
發(fā)表于 2025-3-25 02:32:02 | 只看該作者
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