Bilytica # 1 خدمات هادوب في السعودية Typical on-premises configuration For data storage and processing, Hadoop installations employ the same set of devices. Compute and storage must scale together since they are collocated. Storage doesn’t have to be collocated with computing on HDInsight clusters; it may be in Azure storage, Azure Data Lake Storage, or both.

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Separate Storage And Computation In Hadoop Services In Saudi Arabia خدمات هادوب في السعودية

Following Are The Benefits Of Decouple Storage

The following are some of the advantages of decoupling storage and compute:

  • Data exchange across clusters is possible.
  • Because the data isn’t cluster dependent, transient clusters are used.
  • Storage costs are reduced.
  • Separately scaling storage and computing.
  • Replication of data across areas.

To reduce the performance cost of separating compute and storage in an Azure region, compute clusters are established near to storage account resources خدمات هادوب في السعودية. The computing nodes can access the data in Azure storage more quickly thanks to high-speed networks.

Use Of External Metadata Databases

Apache Hive and Apache Oozie are the two major meta-stores that interact with HDInsight clusters. The Hive meta-store is a central schema repository that may be accessed by Hadoop, Spark, LLAP, Presto, and Apache Pig data processing engines خدمات هادوب في السعودية. The Oozie meta-store keeps track of scheduling information as well as the status of running and completed Hadoop tasks.

For Hive and Oozie meta-stores, HDInsight leverages Azure SQL Database. In HDInsight clusters, there are two approaches to set up a meta-store:

  • Default Meta-store
  • Custom External Meta-store

Hive Meta-Store Best Practices

The following are some HDInsight Hadoop Services in Saudi Arabia Hive meta-store recommended practices:

  • To keep computation resources and metadata distinct, use a bespoke external meta-store.
  • Start with an Azure SQL instance on the S2 tier, which has 50 DTU and 250 GB of storage. You can scale up the database if you see a bottleneck.
  • Don’t use a meta-store developed for one HDInsight cluster version with clusters from another version. Different schemas are used by different Hive versions. A meta-store, for example, cannot be shared between Hive 1.2 and Hive 2.1 clusters.
  • Back up the custom meta-store on a regular basis.
  • Keep the HDInsight cluster and the meta-store in the same area.
  • Use Azure SQL Database Monitoring tools like Azure portal or Azure Monitor logs to keep an eye on the meta-store’s performance and availability.
  • To create statistics for tables and columns, use the ANALYZE TABLE command as needed.

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خدمات هادوب في السعودية
خدمات هادوب في السعودية
خدمات هادوب في السعودية
خدمات هادوب في السعودية
خدمات هادوب في السعودية