This course looks at implementing multidimensional databases by using SQL Server Analysis Services (SSAS).
This course teaches you how to implement a data warehouse platform to support a BI solution.
This course provides you with the knowledge and skills to administer a SQL server database infrastructure.
You can get the knowledge and skills to develop a Microsoft SQL Server 2016 database with this course!
Learn how to Provision, Manage, Upgrade, and Manage a SQL Server 2016 Database with this course!
Layton, 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:
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:
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:
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.
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.
This module describes common architectures for processing big data using Azure tools and services.
This module describes how to use Azure Stream Analytics to design and implement stream processing over large-scale data.
This module describes how to include custom functions and incorporate machine learning activities into an Azure Stream Analytics job.
This module describes how to use Azure Data Lake Store as a large-scale repository of data files.
This module describes how to use Azure Data Lake Analytics to examine and process data held in Azure Data Lake Store.
This module describes how to create and deploy custom functions and operations, integrate with Python and R, and protect and optimize jobs.
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.
This module describes how to import data in Azure SQL Data Warehouse, and how to protect this data.
This module describes how to use Azure Data Factory to import, transform, and transfer data between repositories and services.
This course requires that you meet the following prerequisites:
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