Mensys Online Shop

Mastering Azure Analytics

Categorie:Algemeen - Digitale Boeken (eBoeken) Van:O'REILLY MEDIA

Microsoft Azure has over 20 platform-as-a-service (PaaS) offerings that can act in support of a big data analytics solution. So which one is right for your project? This practical book helps you understand the breadth of Azure services by organizing them into a reference framework you can use when crafting your own big data analytics solution.

You’ll not only be able to determine which service best fits the job, but also learn how to implement a complete solution that  » Lees meer...

Mastering Azure Analytics

Selecteer een of meer artikelen en klik dan op Bestellen. Aantallen kunnen op de volgende blz. gewijzigd worden.
 Mastering Azure Analytics
Partnr.OmschrijvingEuro *Euro incl. BTW 
9781491956601 Mastering Azure Analytics Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark 1ed. EPUB323.9628.99
9781491956625 Mastering Azure Analytics Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark 1ed. PDF23.9628.99

Alle prijzen zijn in Euro excl. BTW (21%, voor boeken 6%) en excl. verzendkosten.
Verzenden is gratis bij orders boven de 20 euro in Nederland, daaronder 5 euro excl. BTW.

E-mail of bel 085 40 19 16 0 voor licenties, upgrades en andere vragen.

Microsoft Azure has over 20 platform-as-a-service (PaaS) offerings that can act in support of a big data analytics solution. So which one is right for your project? This practical book helps you understand the breadth of Azure services by organizing them into a reference framework you can use when crafting your own big data analytics solution.

You’ll not only be able to determine which service best fits the job, but also learn how to implement a complete solution that scales, provides human fault tolerance, and supports future needs.

  • Understand the fundamental patterns of the data lake and lambda architecture
  • Recognize the canonical steps in the analytics data pipeline and learn how to use Azure Data Factory to orchestrate them
  • Implement data lakes and lambda architectures, using Azure Data Lake Store, Data Lake Analytics, HDInsight (including Spark), Stream Analytics, SQL Data Warehouse, and Event Hubs
  • Understand where Azure Machine Learning fits into your analytics pipeline
  • Gain experience using these services on real-world data that has real-world problems, with scenarios ranging from aviation to Internet of Things (IoT)