• Course
  • Vendor

Learn to Implement a Cosmos DB solution. GK# 100204

  • Course Start Date: 2021-09-28
  • Time: 09:00:00 - 17:00:00
  • Duration: 3 days 09:00 AM - 05:00 PM
  • Location: Virtual
  • Delivery Method(s): Virtual Instructor Led
$1,676.00
REGULAR PRICE $2,095.00 Save $419.00
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Course Outline

Pre-Requisites

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.

Lessons

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

WHAT YOU'LL LEARN

  • 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.

OUTLINE

Module 1: Introduction to Azure Cosmos DB

Describe 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

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 Applications

This 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

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 Operations

Describe 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

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 performance

Describe how to optimize a database, and how to monitor performance.

Lessons

  • Optimizing database performance
  • Monitoring the performance of a database

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 Database

This 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

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 DB

This 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

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 DB

This 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

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.

LABS

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

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

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.

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

Lab : Designing and implementing a Graph database

  • Implementing a recommendations engine for customers
  • Recording product purchase information
  • Query a Graph database to obtain analytics

Lab : Querying and Analyzing Big Data with Cosmos DB

  • Extending product search capabilities
  • Performing end-of-month processing
  • Visualizing sales data
  • Exploring sales data

Lab : Using Cosmos DB with stream processing

  • Handling orders
  • Maintaining stock analytic data

Displaying rolling revenue for a given time period

WHO SHOULD ATTEND

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.

Cancellation Policy

We require 16 calendar days notice to reschedule or cancel any registration. Failure to provide the required notification will result in 100% charge of the course. If a student does not attend a scheduled course without prior notification it will result in full forfeiture of the funds and no reschedule will be allowed. Within the required notification period, only student substitutions will be permitted. Reschedules are permitted at anytime with 16 or more calendar days notice. Enrollments must be rescheduled within six months of the cancel date or funds on account will be forfeited.

Training Location

Online Classroom
your office

your city, your province
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About Global Knowledge

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Global Knowledge is the world's leading learning services and professional development solutions provider. We deliver learning solutions to support customers as they adapt to key business transformations and technological advancements that drive the way that organizations around the world differentiate themselves and thrive. Our learning programs, whether designed for a global organization or an individual professional, help businesses close skills gaps and foster an environment of continuous talent development.

Training Provider Rating

This vendor has an overall average rating of 4.38 out of 5 based on 431 reviews.

I would never take another course that starts at 11AM and goes to 9PM again. The way the course was laid out really took away from ... Read more
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I would never take another course that starts at 11AM and goes to 9PM again. The way the course was laid out really took away from the capturing of what was presented as it was 5-6 hours of watching a screen before getting to the actual labs. There has to be a better way to lay out this particular course. In my previous course, the lectures were broken up by labs which worked out fantastic and kept you engaged in the course. There were days when in order to actually complete the labs, would go over the 9PM day end time frame. Was able to get the primary labs done, but if you want to get all the content completed, you cannot complete it in the window of this course, you will need to come back on your own time.

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Instructor was great
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Wasn’t as advanced as I thought it would be. There was an issue when the day my course was the first time they used a new platfo ... Read more
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Wasn’t as advanced as I thought it would be. There was an issue when the day my course was the first time they used a new platform.. from adobe to something called zoom; I had to call support line cause it stated our instructor wasn’t present. Thankfully I called cause everyone online was in the adobe virtual classroom waiting for what looked like a teacher who didn’t show up for class (IT didn’t get anything resolved until 10mins after start time). I felt like he was really getting hung up on very basic knowledge for the first half of the course (talking about how to create tabs and drag formulas as an example). I completed files a few times before he was done explaining. There was a scheduled fire drill for them (roughly 30mins)that also cut into our time, which wasn’t deducted from the hour lunch break or the two, fifteen min breaks. I also really wish he touched base more on the automating workbook functions portion which we barely did. I'm happy there were/are those study guides (learning videos) and exams to take on my own time that I hope after I've had the class are still available for me to learn from.

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