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Architecting the Internals of the Modern Data Warehouse with Ginger Grant

SoCal SQL Saturday

Friday, April 10, 2015 from 7:45 AM to 5:15 PM (PDT)

Architecting the Internals of the Modern Data Warehouse...

Ticket Information

Ticket Type Sales End Price Fee Quantity
Early Bird   more info Ended $99.00 $6.44

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Event Details

SQL Saturday #389 - Full Day Preconference Session

Architecting the Internals of the Modern Data Warehouse with Ginger Grant


The data stored in today's modern data warehouse is expected to do more than ever before. Users are looking for more than facts and measures, but the ability to empower users with data and to build analytics solutions that predict future outcomes. We'll examine the problems and solutions facing the modern data warehouse, and look at the internals to see what components are going to be needed to help provide this insight. We'll look at how to balance data loading and computing processes with the needs for the platform. Looking at how to work with both structured and unstructured data and when to continue to leverage relational databases versus file-base solutions, such as Hadoop. From on-premise to cloud solutions, this session will examine how to select the right fit for the right solution. We’ll also discuss how to augment these solutions with Big Data and Cloud technologies, including HD Insight, Machine Learning and Data Factory and adding common analytic data sources such as social media. By the end of the day, you will understand what is possible in the modern data warehouse and how to architect solutions fitting your company.

Course Outline
  1. Components of a Modern Data Warehouse
  2. The future of Data Acquisition, storage and processing
  3. New tools and concepts in Data integration
  4. Data Analysis features of a Modern Data Warehouse
  5. Visualization and Self-Serivice Analysis
  6. Analytics tools for providing answers to data questions for the business
  7. Modern Data Warehousing in your business, real world application
Ginger Grant

Ginger Grant has worked with the Microsoft BI stack for a many years for a number of different industries including transportation, education, insurance and healthcare, and along the way became certified as an MCTS in SQL Server 2008 and MSCA for SQL Server 2012. As a consultant for Pragmatic Works, I enjoy applying current technology to provide data solutions for clients. When not working I can be found speaking at number of events including SQL Saturdays, users groups, code camps and webinars, which led to being a finalist in the 2014 Red Gate Tribal Awards for New Community Voice.

To read what recent technical things interest me most recently, check out my blog at or reach out on Twitter @desertislesql


What is the refund policy?

Once purchased, tickets are non-refundable.  Tickets are transferrable. 

What does the ticket include?

The ticket for the event includes the following:

  • Access to Session Material for the Pre-Conference Workshop
  • Continental Breakfast, Lunch and Snacks are included. If you have any dietary restrictions please let us know at

What should I bring to the event?

There will be a lot of information presented at the event so you will likely need something to take notes.  If you have a laptop with SQL Server installed you may be able to follow along with demos or try techniques on your own databases

Where on campus is the event located?

Detailed instructions on the exact location of the classroom for your event will be sent closer to the day of the event in addition to information on parking.

Does this register me for the SQL Saturday event the next day?

No.  If you are plannig on attending the main SQL Saturday event the next day, please be sure to register on the main SQL Saturday site:

What if I have Questions?

Please email us at 

Have questions about Architecting the Internals of the Modern Data Warehouse with Ginger Grant? Contact SoCal SQL Saturday

When & Where

Golden West Collegea
15744 Goldenwest Street
Huntington Beach, CA 92647

Friday, April 10, 2015 from 7:45 AM to 5:15 PM (PDT)

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