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Titlebook: SQL Server Big Data Clusters; Data Virtualization, Benjamin Weissman,Enrico van de Laar Book 2020Latest edition Benjamin Weissman and Enric

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發(fā)表于 2025-3-23 11:46:00 | 只看該作者
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發(fā)表于 2025-3-23 16:18:18 | 只看該作者
Loading Data into Big Data Clusters,With our first SQL Server Big Data Cluster in place, we should have a look at how we can use it. Therefore, we will start by adding some data to it.
13#
發(fā)表于 2025-3-23 18:25:31 | 只看該作者
Querying Big Data Clusters Through T-SQL,Now that we have some data to play with, let’s look at how we can process and query that data through the multiple options provided through Azure Data Studio.
14#
發(fā)表于 2025-3-24 00:23:48 | 只看該作者
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發(fā)表于 2025-3-24 04:06:19 | 只看該作者
Benjamin Weissman,Enrico van de LaarIntroduces the marquee feature in SQL Server 2019 for combining HDFS and relational data.Explains the pros and cons of data virtualization versus data integration (PolyBase vs SSIS).Shows the use of K
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發(fā)表于 2025-3-24 07:50:35 | 只看該作者
Working with Spark in Big Data Clusters,ailable to query data that is stored inside the HDFS filesystem of your Big Data Cluster. As you have read in Chapter 2, Big Data Clusters also have Spark included in the architecture, meaning we can leverage the power of Spark to query data stored inside our Big Data Cluster.
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發(fā)表于 2025-3-24 14:29:19 | 只看該作者
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發(fā)表于 2025-3-24 15:31:37 | 只看該作者
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發(fā)表于 2025-3-24 22:29:20 | 只看該作者
Next, you are taught about querying. You will learn to write queries in Transact-SQL—taking advantage of skills you have honed for years—and with those queries you will be able to examine and analyze data from978-1-4842-5984-9978-1-4842-5985-6
20#
發(fā)表于 2025-3-25 01:39:50 | 只看該作者
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