Event: 10/08/2018 Layton, Utah Microsoft SQL Server Training Course 20776 (5 days) : Performing Big Data Engineering on Microsoft Cloud Services starting on 10/08/2018 and spanning 5 days in Layton, Utah - Dynamics Edge Microsoft Training Event
Layton, Utah SQL Server Training Packages
20768 - Developing SQL 2016 Data Models
This course looks at implementing multidimensional databases by using SQL Server Analysis Services (SSAS).
20767 - Implementing a 2016 SQL Data Warehouse
This course teaches you how to implement a data warehouse platform to support a BI solution.
20764 - Administering a SQL 2016 Database Infrastructure
This course provides you with the knowledge and skills to administer a SQL server database infrastructure.
20762 - Developing SQL 2016 Databases
You can get the knowledge and skills to develop a Microsoft SQL Server 2016 database with this course!
20765 - Provisioning SQL 2016 Databases
Learn how to Provision, Manage, Upgrade, and Manage a SQL Server 2016 Database with this course!
20761 - Querying Data with Transact-SQL 2016
Learn T-SQL in this course, designed for Database Administrators, Database Developers and BI professionals, and...for you!
(800) 453-5961Layton, Utah SQL Server Training -> Event: 10/08/2018 Layton, Utah Microsoft SQL Server Training Course 20776 (5 days) : Performing Big Data Engineering on Microsoft Cloud Services starting on 10/08/2018 and spanning 5 days in Layton, Utah - In order to proceed with requesting this Dynamics Edge Microsoft Training Event, please select from one of the following options by clicking one of the following links and then filling out and submitting the request form:
Want On-Site Layton, Utah SQL Server Training but Would Still Be OK with Live Virtual (Live Online) SQL Server Training Options:
Live Virtual courses are not prerecorded or self-paced, they are LIVE with the instructor and the SAME HIGH QUALITY as our in-person on-site training SQL Server Training options, and our Live Virtual options may also be more affordable for you in most cases in terms of pricing. If you are flexible and you want on-site but would also still be open to and OK with Live Virtual (Live, with the instructor, Instructor Led Live Online training) delivery, Dynamics Edge Microsoft SQL Server TRAINING Course 20776 LIVE VIRTUAL ON THIS DATE: 10/08/2018 please choose one of these options:
- Do you have 5 or more students and would be OK with Live Virtual SQL Server Training? There may be large group discounts available, which are among our biggest discounts. If you have 5 or more students and would be OK with Live Virtual, then use this link now to request this event now. Use this link only if you would be open to and OK with Live Virtual for this SQL Server Training Course, AND YOU HAVE 5 OR MORE STUDENTS (including yourself, if you'll be attending) - if so, then use this link to request this SQL Server Training Course now, Dynamics Edge Microsoft SQL Server TRAINING Course 20776 LIVE VIRTUAL ON THIS DATE: 10/08/2018
- Do you have between 2 to 5 students, and would be OK with Live Virtual SQL Server Training? If so, then please use this Link. We may in some cases be able to give a small group discount. Use this link and we will see what we can do for you if you have between 2 and 5 students and would be OK with Live Virtual Dynamics Edge Microsoft SQL Server TRAINING Course 20776 LIVE VIRTUAL ON THIS DATE: 10/08/2018.
- Are you the only student or will you be requesting this for only one student and would be OK with Live Virtual SQL Server Training? We can't give you a group discount, but we will see what we can do in your case for Dynamics Edge Microsoft SQL Server TRAINING Course 20776 LIVE VIRTUAL ON THIS DATE: 10/08/2018.
Want IN-CLASSROOM IN-PERSON ON-SITE Layton, Utah SQL Server TRAINING OPTIONS ONLY:
If you do not want Live Virtual (Live, Instructor Led Online training), and you ONLY WANT PHYSICAL IN-PERSON IN-CLASSROOM ON-SITE FACE TO FACE Dynamics Edge Microsoft SQL Server TRAINING Course 20776 AT THIS PHYSICAL LOCATION Layton, Utah ON THIS DATE: 10/08/2018 please choose one of these options:
- Do you have 5 or more students and want Layton, Utah SQL Server Training IN PERSON ON SITE ONLY? We may have some of the biggest discounts on pricing for large groups of 5 or more students. Use this link now to request this event AND YOU HAVE 5 OR MORE STUDENTS (including yourself, if you'll be attending) READY AND WILLING TO ATTEND THIS Dynamics Edge Microsoft SQL Server TRAINING Course 20776 AT THIS PHYSICAL LOCATION Layton, Utah ON THIS DATE: 10/08/2018
- Do you have between 2 to 5 students and want Layton, Utah SQL Server IN PERSON ON SITE ONLY? We may be able to give you a small group discount in some cases. Use this link now to request this event AND YOU HAVE 2 to 5 STUDENTS (including yourself, if you'll be attending) READY AND WILLING TO ATTEND THIS Dynamics Edge Microsoft SQL Server TRAINING Course 20776 AT THIS PHYSICAL LOCATION Layton, Utah ON THIS DATE: 10/08/2018
- Are you the only student or will you be requesting this for only one student and want Layton, Utah SQL Server Training IN PERSON ON SITE ONLY? We can't give you a group discount, but we will see what we can do in your case. Use this link now to request this event AND YOU HAVE AT LEAST 1 STUDENT (including yourself, if you will be attending) READY AND WILLING TO ATTEND THIS Dynamics Edge Microsoft SQL Server TRAINING Course 20776 AT THIS PHYSICAL LOCATION Layton, Utah ON THIS DATE: 10/08/2018
Event: 10/08/2018 Layton, Utah Microsoft SQL Server Training Course 20776 (5 days) : Performing Big Data Engineering on Microsoft Cloud Services starting on 10/08/2018 and spanning 5 days in Layton, Utah - Please note that pricing for this SQL Server Training Event may vary from prices published elsewhere on our website (no guarantees, but the price may end up being lower for you requesting the Event through this page than through requesting or purchasing this course or similar from elsewhere on our website), may only be valid as long as you stay on this page and decide within a certain amount of time from when you first landed on this page (e.g within a few hours after you landed on this page), may depend on which of the above options you choose, and may also may be associated with a variety of other factors. Any pricing information for this Event will be provided to you later in this process and in some cases, after you have completed submitting the required form that is associated with the option you choose above. If you did not receive pricing and you have successfully submitted the request form associated with the option you chose above, we'll try to respond to you as soon as possible with pricing, any discounts applied (if applicable) and other pertinent information. If you are associated with a government agency please Contact Us Separately Using This Link instead because you may be eligible for a separate pricing tier. Please note that "group discounts" are on an as-available and case-by-case basis and are not guaranteed to always be issued. If a one-time special request code for additional discounts IN ADDITION TO group discounts is included with your SQL Server Training Event request, please note that these "additional discounts," as all discounts claimed here, are subject to availability and case-by-case review, and are not guaranteed to be issued. We have many locations, please note that only SOME, not all, of our locations' physical street addresses are listed on our Locations page. This Event page will likely list the City and State only for where this SQL Server Training will be held. The actual facility physical address location information for this Event may be delivered to you after we receive your registration for this Event, and at our discretion we might require additional information from you prior to delivering you the actual physical street address of the facility that is associated with this Event. Location availability is not guaranteed and requires registration using the process on this page to check the availability. If this Location is unavailable for this Event and you indicated on-site only, we may suggest to you alternate nearby locations (and alternate course numbers and alternate dates, if applicable) if the selected Location (and course number and date, if applicable) for this Event is unavailable for SQL Server Training for any reason. Please note that all information shown on this page about this event is subject to manual review on a case-by-case basis. This event shown on this page is not guaranteed to be delivered and you must submit a request first through this page and receive confirmation before making plans to attend this event. Any travel reservations you make at any time are your sole responsibility regardless of whether or not Dynamics Edge can deliver this event and whether or not you received confirmation. It is advisable you obtain refundable reservations or request either Live Virtual Training, or if you request on-site in-person you should request a location near where you are right now, or a location close to where you are going to be located on a certain date and for at least the entire duration of the course. Also see our Policies page for more information.
SQL Server Training Course Additional Event Information --> Event: 10/08/2018 Layton, Utah Microsoft SQL Server Training Course 20776 (5 days) : Performing Big Data Engineering on Microsoft Cloud Services starting on 10/08/2018 and spanning 5 days in Layton, Utah
About this course
This five-day instructor-led course describes how to process Big Data using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data Warehouse and Azure Data Factory. The course also explains how to include custom functions, and integrate Python and R.
The primary audience for this course is data engineers (IT professionals, developers, and information workers) who plan to implement big data engineering workflows on Azure.
After completing this course, students will be able to:
- Describe common architectures for processing big data using Azure tools and services.
- Describe how to use Azure Stream Analytics to design and implement stream processing over large-scale data.
- Describe how to include custom functions and incorporate machine learning activities into an Azure Stream Analytics job.
- Describe how to use Azure Data Lake Store as a large-scale repository of data files.
- Describe how to use Azure Data Lake Analytics to examine and process data held in Azure Data Lake Store.
- Describe how to create and deploy custom functions and operations, integrate with Python and R, and protect and optimize jobs.
- Describe how to use Azure SQL Data Warehouse to create a repository that can support large-scale analytical processing over data at rest.
- Describe how to use Azure SQL Data Warehouse to perform analytical processing, how to maintain performance, and how to protect the data.
- Describe how to use Azure Data Factory to import, transform, and transfer data between repositories and services.
Course Outline
Module 1: Architectures for Big Data Engineering with Azure
This module describes common architectures for processing big data using Azure tools and services.
Lessons
- Understanding Big Data
- Architectures for Processing Big Data
- Considerations for designing Big Data solutions
Lab : Designing a Big Data Architecture
Module 2: Processing Event Streams using Azure Stream Analytics
This module describes how to use Azure Stream Analytics to design and implement stream processing over large-scale data.
Lessons
- Introduction to Azure Stream Analytics.
- Configuring Azure Stream Analytics jobs.
Lab : Processing Event Streams with Azure Stream Analytics
Module 3: Performing custom processing in Azure Stream Analytics
This module describes how to include custom functions and incorporate machine learning activities into an Azure Stream Analytics job.
Lessons
- Implementing Custom Functions.
- Incorporating Machine Learning into an Azure Stream Analytics Job.
Lab : Performing Custom Processing with Azure Stream Analytics
Module 4: Managing Big Data in Azure Data Lake Store
This module describes how to use Azure Data Lake Store as a large-scale repository of data files.
Lessons
- Using Azure Data Lake Store.
- Monitoring and protecting data in Azure Data Lake Store.
Lab : Managing Big Data in Azure Data Lake Store
Module 5: Processing Big Data using Azure Data Lake Analytics
This module describes how to use Azure Data Lake Analytics to examine and process data held in Azure Data Lake Store.
Lessons
- Introduction to Azure Data Lake Analytics.
- Analyzing Data with U-SQL.
- Sorting, grouping, and joining data.
Lab : Processing Big Data using Azure Data Lake Analytic
Module 6: Implementing custom operations and monitoring performance in Azure Data Lake Analytics
This module describes how to create and deploy custom functions and operations, integrate with Python and R, and protect and optimize jobs.
Lessons
- Incorporating custom functionality into Analytics jobs.
- Managing and Optimizing jobs.
Lab : Implementing custom operations and monitoring performance in Azure Data Lake Analytics
Module 7: Implementing Azure SQL Data Warehouse
This module describes how to use Azure SQL Data Warehouse to create a repository that can support large-scale analytical processing over data at rest.
Lessons
- Introduction to Azure SQL Data Warehouse.
- Designing tables for efficient queries.
- Importing Data into Azure SQL Data Warehouse.
Lab : Implementing Azure SQL Data Warehouse
Module 8: Performing Analytics with Azure SQL Data Warehouse
This module describes how to import data in Azure SQL Data Warehouse, and how to protect this data.
Lessons
- Querying Data in Azure SQL Data Warehouse.
- Maintaining Performance.
- Protecting Data in Azure SQL Data Warehouse.
Lab : Performing Analytics with Azure SQL Data Warehouse
Module 9: Automating the Data Flow with Azure Data Factory
This module describes how to use Azure Data Factory to import, transform, and transfer data between repositories and services.
Lessons
- Introduction to Azure Data Factory.
- Transferring Data.
- Transforming Data.
- Monitoring Performance and Protecting Data.
Lab : Automating the Data Flow with Azure Data Factory
Prerequisites
This course requires that you meet the following prerequisites:
- A good understanding of Azure data services..
- A basic knowledge of the Microsoft Windows operating system and its core functionality.
- A good knowledge of relational databases.
*NOTE: if an average rating and rating count are shown on this page, they are based on all reviews associated with Dynamics Edge that are shown on the review page, and are not restricted to reviews only for the particular courses offered on this page.
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