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MOC-20777 Implementing Microsoft Azure Cosmos DB Solutions

This three-day instructor-led course is aimed at database professionals who are looking to implement a Cosmos DB solution

The primary audience for this course is database developers and architects (IT professionals, developers, and information workers) who plan to implement big data solutions on Azure using Cosmos DB.

After completing this course, students will be able to:

  • Describe the purpose and architecture of Azure Cosmos DB.
  • Describe how to design documents and collections to meet business requirements, and how to use the SQL API to build applications that use these documents.
  • Describe how to create user-defined functions, stored procedures, and triggers.
  • Describe how to tune a database, and how to monitor performance.
  • Describe how to create efficient Graph database models using Cosmos DB.
  • Describe how to use Azure Search, HDInsight, Azure Databricks, and Power BI with Cosmos DB to query and analyze big data.
  • Describe how to use Cosmos DB as a source and sink for streaming data.

Prerequisities
In addition to their professional experience, students who attend this training should already have the following technical knowledge:

  • The fundamental concepts of partitioning, replication, and resource governance for building and configuring scalable applications that are agnostic of a Cosmos DB API.
  • A basic working knowledge of the Cosmos DB SQL API.

Täpsema kirjelduse leiad: https://www.microsoft.com/en-us/learning/course.aspx?cid=20777

Course Outline:

  • Module 1: Introduction to Azure Cosmos DBDescribe the purpose and architecture of Cosmos DB.
    • Lessons
      • Review of NoSQL database structures
      • Migrating data and applications to Cosmos DB
      • Managing data in Cosmos DB
    • Lab : Creating and using a SQL API database in Cosmos DB
      • Creating and configuring a Cosmos DB database
      • Migrating data from a Mongo DB database to Cosmos DB
      • Using the SQL API to access data
      • Protecting data in a Cosmos DB database
    • After completing this module, students will be able to:
      • Create and configure a Cosmos DB.
      • Migrate data from a Mongo DB database to a Cosmos DB database.
      • Describe accessing data using the SQL API.
      • Describe how to protect data in a Cosmos DB.
  • Module 2: Designing and Implementing SQL API Database ApplicationsThis module describes how to design documents and collections to meet business requirements, and how to use the SQL API to build applications that use these documents.
    • Lessons
      • Document models in Cosmos DB
      • Querying data in a SQL API database
      • Querying and maintaining data programmatically
    • Lab : Designing and implementing SQL API database applications
      • Design the document structure & partitioning strategy for the product catalog for the retail system
      • Importing product catalog data
      • Querying product catalog information
      • Maintaining stock levels in the product catalog
    • After completing this module, students will be able to:
      • Design NoSQL document structures that support business requirements and enable efficient operations.
      • Describe how to perform SQL queries against a SQL API database.
      • Explain how to insert, modify, delete, and query data in a SQL API database programmatically.
  • Module 3: Implementing Server Side OperationsDescribe how to create user-defined functions, stored procedures, and triggers.
    • Lessons
      • Server-side programming with Cosmos DB
      • Creating and using stored procedures
      • Using triggers to maintain data integrity
    • Lab : Writing user-defined functions, stored procedures and triggers
      • Design and implement the document and collection structure
      • Implement the shopping cart functionality in the online retail system.
      • Extend the online retail system to create orders from the items in a shopping cart.
      • Extend the online retail system further to enable customers to view orders and backorders.
    • After completing this module, students will be able to:
      • Describe how Cosmos DB enables you to implement server-side operations by writing JavaScript code.
      • Describe how use the JavaScript Query API to implement transactional operations with stored procedures.
      • Describe how use create triggers that you can use to maintain integrity when inserting, updating, and deleting documents.
  • Module 4: Optimizing and monitoring performanceDescribe how to optimize a database, and how to monitor performance.
    • Lessons
      • Optimizing database performance
      • Monitoring the performance of a database
    • Lab : Tuning a database and monitoring performance
      • Gathering execution statistics
      • Examining how the different consistency models can impact throughput and latency
      • Investigate the effects of triggers on performance
      • Monitoring performance and tuning the partition key
    • After completing this module, students will be able to:
      • Describe how to tune the configuration of a database and collections for best performance.
      • Describe how to assess the performance of a document database and identify options for improving throughput.
  • Module 5: Designing and Implementing a Graph DatabaseThis module describes how to create efficient graph database models using Cosmos DB.
    • Lessons
      • Graph database models in Cosmos DB
      • Designing Graph database models for efficient operation
    • Lab : Designing and implementing a Graph database
      • Implementing a recommendations engine for customers
      • Recording product purchase information
      • Query a Graph database to obtain analytics
    • After completing this module, students will be able to:
      • Describe the features that Cosmos DB provides for implementing graph databases.
      • Design NoSQL graph structures that support business requirements and enable efficient operations.
  • Module 6: Querying and Analyzing Big Data with Cosmos DBThis module describes how to use Azure Search and HDInsight with Cosmos DB to query and analyze big data.
    • Lessons
      • Integrating Cosmos DB with Azure search to optimize queries
      • Analyzing data in a Cosmos DB database using Apache Spark
      • Visualizing data in a Cosmos DB database
    • Lab : Querying and Analyzing Big Data with Cosmos DB
      • Extending product search capabilities
      • Performing end-of-month processing
      • Visualizing sales data
      • Exploring sales data
    • At the end of this module, students will be able to:
      • Describe how to integrate Cosmos DB with Azure Search to perform efficient query processing over big data.
      • Describe how to analyze big data held in Cosmos DB using Apache Spark.
      • Describe how to visualize data in Cosmos DB using Jupyter notebooks, Power BI, and Azure Databricks.
  • Module 7: Implementing Stream Processing with Cosmos DBThis module describes how to use Cosmos DB as a source and sink for streaming data.
    • Lessons
      • Working with the Cosmos DB change feed
      • Integrating Cosmos DB into streaming solutions
    • Lab : Using Cosmos DB with stream processing
      • Handling orders
      • Maintaining stock analytic data
      • Displaying rolling revenue for a given time period
    • After completing this module, students will be able to:
      • Describe the Cosmos DB change feed, and how to use it to process data efficiently.
      • Explain how to incorporate Cosmos DB into streaming solutions such as Apache Kafka, Apache Spark, and Azure Stream Analytics.

Koolitaja:
Henn Sarv
Henn koolitab IT Koolituses juba üle 20 aasta. Koolituskogemus oli tal ka varem – jagas paar aastat teadmisi Novelli administraatoritele. IT Koolituses on ta keskendunud peamiselt (aga mitte ainult) Microsofti toodetele, seda nii tavakasutajatele (Excelist Visioni) kuni süsteemiadministraatorite ja programmeerijateni. Peamiselt siiski kõik, mis puudutab andmebaase (SQL) ja ärianalüüsi (BI, Excel).
Hoolimata sellest, et Henn on 20+ aastat klassi ees seisnud, ei ole ta kaotanud sidet igapäevase eluga: vahepeal on ta loonud arendusettevõtte ja jõudnud selle maha müüa; on konsulteerinud ja juurutanud süsteeme mitmes ettevõttes, peab talu ja korraldab sulgpallivõistlusi. Pidev side tegeliku eluga on see, mis aitab Hennul olla ekspert ja usaldusväärne allikas ka teadmiste jagamisel. Hennu enda õppimisvõime ja üle 60 sooritatud erialaeksami võimaldab õppijaid suurepäraselt mõista ning on tugevuseks ka koolitajana.
Hennul on vist peaaegu kõik sertifikaadid, mida üldse võib hankida. Vähemalt Microsofti (kuigi mitte ainult) omad ja vähemalt oma valdkondades. Oli aeg, kus Hennul tõesti olid KÕIK Microsofti sertifikaadid. MCP, MCT, MCDBA, MCSE, MCSA, MCTS, MCITP – kõik ei tule meeldegi. Lisaks on Henn juba 10 aastat ka Microsofti MVP – enimväärtuslik proff.

  • Kõrgharidus (TTÜ majandusinformaatika erialal)
  • Microsoft Certified Trainer
  • MS Certified Systems Engineer
  • Microsoft Certified Professional Developer
  • Certified Novell Administrator
  • Certified Lotus Specialist
  • MS Sales Specialist
  • Aasta koolitaja 2011 (Andras)

Koolitushind sisaldab:

  • ametlikke õppematerjale;
  • koolitaja konsultatsiooni õpitud teemade kohta e-posti teel pärast koolitust;
  • tunnistust.

Lisaväärtusena pakume:

  • ühe Microsofti sertifitseerimiseksami sooritamise võimalust 6 kuu jooksul pärast koolitust;
  • võimalust osaleda tasuta korduskoolitusel, kui on soov teemasid korrata;
  • sooje jooke koos küpsistega;
  • lõunasööki igal koolituspäeval;
  • soodushinnaga registreerimise võimalust järgmisele kalendrikoolitusele;
  • tasuta parkimist.

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MOC-20777 Implementing Microsoft Azure Cosmos DB Solutions

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