1 / 13

Exploring HDInsight and Power BI Integrations for Big Data Analytics

Learn theory and practice of HDInsight & Power BI: Hadoop versions, file formats, connectors, connecting to HDInsight with Excel Power Query, differences between HADOOP 1.0 & 2.0, storage options, and comparing Azure services.

pierro
Télécharger la présentation

Exploring HDInsight and Power BI Integrations for Big Data Analytics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. HDInsight & Power BI By Łukasz Gołębiewski

  2. Agenda • Theory • What is Hadoop in Big Data world • Hadoop versions • HDInsight as a cloud implementation of Hortonworks Hadoop • Hdinsight storage • Hadoop file formats • Available connectors • Practice • Connectingto HDInsight with Excel Power Query • Connecting to HDInsight with Desktop BI

  3. HADOOP 1.0 VS HADOOP 2.O Source: https://hortonworks.com/blog/apache-hadoop-2-is-ga/

  4. HADOOP 1.0 &HADOOP 2.O Storage https://hub.packtpub.com/hadoop-and-mapreduce/

  5. Azure HDInsight (PAAS)

  6. HDInsight clustertypes Source: https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-introduction

  7. Comparing ADLS and ABS Source: https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-comparison-with-blob-storage

  8. AzureAccount Storage BLOB Storage • General Storage • BLOB Storage • Tables • Queues • SMB 3.0

  9. Hadoop File Formats: It's not just CSV anymore • Text/CSV Files • JSON Records • AvroFiles • SequenceFiles • RC Files • ORC Files • ParquetFiles Source: https://community.hds.com/community/products-and-solutions/pentaho/blog/2017/11/07/hadoop-file-formats-its-not-just-csv-anymore

  10. Whatcanyou do with Excel and what with PowerBI?

  11. DEMO  • Excel • AzureTableStorage • AzureBlobStorage • AzureHDInsight (HDFS) • Desktop BI • AzureHDInsight (Spark) • HDInsight Interactive Query • Azure Data Lake Store

  12. Summary • There are substantial differences between onprem & cloud implementation of Hadoop • Excel and Power BI Desktop differ in terms of supportedconnectors • Account storage is not only a storage – it is also provide computation layer • Power Query is not able to digestHadoop file formatsdirectly • AzureBlobStorage vs Azure HDInsight (HDFS) – whatis a real difference? • Azure HDInsight (Spark) get data from Hivetables • HDInsight Interactive Query get data from Hivetableslike Spark • Azure Data Lake Store – worklookspretty much the same as with AAS - BLOBs

  13. Thankyou! 

More Related