What is Hadoop?
It’s an extremely scalable Distributed File System (HDFS) used for handling big data. There are multiple scenarios when a traditional database such as SQL Server or Oracle is not the optimal way to store data. For instance, to store YouTube or Facebook info, it would be very expensive to store all the images and videos in a traditional database. That’s why Hadoop was invented. Hadoop can handle Petabytes of info easily using several distributed computers. With Hadoop, you can easily manage SQL and NoSQL Data and it’s easy to distribute the info to several servers.
What is HDInsight?
- In popular generation for huge statistics analytics is Apache Hadoop. Large volumes of historical or flowing records may stored, processed, and analyzed with the useful resource of Hadoop. Additionally it has the potential to be scaled up as needed. By a resenting a one-forestall keep, Azure HDInsight makes it less complicated for us to method huge data the usage of open-source frameworks like Hadoop.
- For Using the open-source frameworks for big statistics analytics made viable through Microsoft’s Azure HDInsight provider. Azure HDInsight permits using frameworks like Hadoop, Apache Spark, Apache Hive, LLAP, Apache Kafka, Apache Storm, R etc. For processing massive quantities of facts. These equipment can be used for information warehousing, device getting to know, and extraction, transformation, and loading “ETL”.
Create and Configure Azure HDInsight
In our chapter about the amazing Poly Base thingy, we presented this super cool SQL Server 2024 feature to query CSV files stored in Azure Storage accounts. We mentioned that in PolyBase, hey, you can query data in Hadoop (HDInsight) using SQL Server. HDInsight is like, totally a very popular system in Azure that eventually you will, like, need to interact with if you use SQL Server. That is why we will, like, give an explanation for all the newbies out there about it, you know?
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