Microsoft Azure Data Fundamentals

Microsoft Azure Data Fundamentals

Durasi : 3 hari on-premise (18 jam) (off-line) training

 

Dalam training ini, siswa akan diberikan pemahaman tentang data relasional, non-relasional, data besar, dan analitik, serta pengetahuan dasar tentang layanan data cloud dalam Microsoft Azure. Siswa akan menjelajahi konsep data relasional dasar dan layanan database relasional di Azure. Mereka akan menjelajahi penyimpanan Azure untuk data non-relasional dan dasar-dasar Azure Cosmos DB. Siswa akan belajar tentang pergudangan data skala besar, analitik waktu nyata, dan visualisasi data.

Apa yang akan Anda pelajari?

Siswa akan mempelajari:

  • Konsep data inti
  • Peran dan layanan data
  • Konsep data relasional fundamental
  • Layanan database relasional di Azure
  • Penyimpanan Azure untuk data non-relasional
  • Dasar-dasar Azure Cosmos DB
  • Dasar-dasar Warehouse data berskala besar
  • Dasar-dasar analitik real-time
  • Dasar-dasar visualisasi data

Siapa yang perlu mengikuti traiing ini

Peserta training ini adalah individu yang ingin mempelajari dasar-dasar konsep database di lingkungan cloud, mendapatkan keterampilan dasar dalam layanan data cloud, dan membangun pengetahuan dasar mereka tentang layanan data cloud dalam Microsoft Azure.

Prasyarat

  • Prasyarat sertifikasi tidak diperlukan sebelum mengikuti training ini. Peserta training Azure Data Fundamentals bisa mengikuti training dengan beberapa kemampuan dasar komputasi dan konsep Internet, dan mempunyai minat untuk mengekstrak wawasan dari data.
  • Pengalaman menggunakan browser web, seperti Microsoft Edge.
  • Terbiasa dengan konsep dasar terkait data, seperti bekerja dengan tabel data dalam spreadsheet dan memvisualisasikan data menggunakan bagan.

 

Silabus

Module 1: Explore core data concepts

  • Identify common data formats
  • Describe options for storing data in files
  • Describe options for storing data in databases
  • Describe characteristics of transactional data processing solutions
  • Describe characteristics of analytical data processing solutions

Module 2: Explore data roles and services

  • Identify common data professional roles
  • Identify common cloud services used by data professionals

Module 3: Explore fundamental relational data concepts

  • Identify characteristics of relational data
  • Define normalization
  • Identify types of SQL statement
  • Identify common relational database objects

Module 4: Explore relational database services in Azure

  • Identify options for Azure SQL services
  • Identify options for open-source databases in Azure
  • Provision a database service on Azure

Module 5: Explore Azure Storage for non-relational data

  • Describe features and capabilities of Azure blob storage
  • Describe features and capabilities of Azure Data Lake Gen2
  • Describe features and capabilities of Azure file storage
  • Describe features and capabilities of Azure table storage
  • Provision and use an Azure Storage account

Module 6: Explore fundamentals of Azure Cosmos DB

  • Describe key features and capabilities of Azure Cosmos DB
  • Identify the APIs supported in Azure Cosmos DB
  • Provision and use an Azure Cosmos DB instance

Module 7: Explore fundamentals of large-scale data warehousing

  • Identify common elements of a modern data warehousing solution
  • Describe key features for data ingestion pipelines
  • Identify common types of analytical data store and related Azure services
  • Provision Azure Synapse Analytics and use it to ingest, process, and query data

 

Module 8: Explore fundamentals of real-time analytics

  • Compare batch and stream processing
  • Describe common elements of streaming data solutions
  • Describe features and capabilities of Azure Stream Analytics
  • Describe features and capabilities of Spark Structured Streaming on Azure
  • Describe features and capabilities of Azure Synapse Data Explorer

Module 9: Explore fundamentals of data visualization

  • Describe a high-level process for creating reporting solutions with Microsoft Power BI
  • Describe core principles of analytical data modeling
  • Identify common types of data visualization and their uses
  • Create an interactive report with Power BI Desktop

Exercises

  • Lab : Provision Azure relational database services
  • Lab : Explore Azure Storage
  • Lab : Explore Azure Cosmos DB
  • Lab : Analyze streaming data
  • Lab : Visualize data with Power BI
  • Lab : Explore Azure Synapse Analytics

 

 

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