Ike Ellis

General Manager - Data & AI Practice at Solliance

Talk

Data Modeling for Applications
YET TO BE SCHEDULED
Topics:
data, architecture, OLTP, transactions
Level:
General

Your rating:
0/5

Modern data modeling has become chaotic and confused for a variety of reasons:

  • We don't live in an EF Codd world anymore, nor should we.  His constraints are not our constraints.   But in our haste to innovate, we shouldn't throw all of his teachings away.  
  • The number of products the average company uses to store data has exploded. The database vendors are competing and releasing features at an astounding rate.
  • The cloud vendors have also accelerated the pace of change. 
  • One blogger says one thing, while another contradicts them.
These things are creating a confusing atmosphere for the data modeler. It is true that data modeling has changed, but there is no need to throw out great practices that have served us for years and can continue to do so. This session will cover what has changed for data modeling, why it changed, and how to take advantage of those changes. Combine new thinking with classic data architecture and you will create great transactional systems for your data.



Talk

Data modeling for Analytics
YET TO BE SCHEDULED
Topics:
Business Intelligence, Big Data, MPP, Hadoop
Level:
General

Your rating:
0/5

Modern data modeling has become chaotic and confused for a variety of reasons:

  • We don't live in an Ralph Kimball or Bill Immerson world anymore, nor should we.  Their constraints are not our constraints.   But in our haste to innovate, we shouldn't throw all of their teachings away.  
  • We are increasingly being asked to report on relational and non-relational data.
  • MPP products are increasingly adopting schema-less and schema-on-read solutions that are allowing us to delay modeling the data.
  • One blogger says one thing, while another contradicts them.
These things are creating a confusing atmosphere for the analytic data modeler. It is true that data modeling has changed, but there is no need to throw out great practices that have served us for years and can continue to do so. This session will cover what has changed for data modeling, why it changed, and how to take advantage of those changes. Combine new thinking with classic data architecture and you will create great analytic and big data systems.



About

With over 18 years of experience in databases and a current Microsoft MVP,  Ike has been Microsoft certified since the beginning, currently holding an MCDBA, MCSE, MCSD, and MCT.
Ike is the General Manager of Data & AI for Solliance. We have a full team of cloud data engineers and data scientists. We specialize in building highly scalable data solutions for any size of organization.
Ike is a partner in Crafting Bytes, a San Diego software studio and Data Engineering group. We build software and BI solutions for companies all around the country.
In 2010, Ike founded the San Diego Tech Immersion Group (SDTIG). It has grown to be the largest user group in San Diego with over 125 active members including three other Microsoft MVPs. It is a technical book club that reads a book on a significant technical topic. Recent topics include Linux on Microsoft Azure, Angular 2/TypeScript, Data on Azure, Python for Data Scientists, and Docker/DevOps. In July 2018, SDTIG started a track on Docker/Kubernetes. We will start a new track on Databricks/Spark in November 2018. You can join virtually and watch the youtube live stream. www.sdtig.com.
Ike leads the San Diego Power BI and PowerApps user group that meets monthly. Find out more at https://www.meetup.com/San-Diego-Power-BI-Power-Apps-Meetup/ or at https://www.pbiusergroup.com/communities/community-home?CommunityKey=a08275c5-90cb-4ba8-905b-646462aa1044.
Ike is also the leader for San DIego Nerd Beers, a monthly software development social group and the co-chairman of the San Diego Software Architecture Group, a round-table of software leaders in San Diego.
He also co-chairs the San Diego Software Architecture Group with Azure MVP Alumni Scott Reed.
In 2015, he co-wrote Developing Azure Solutions for Microsoft Press. He contributed all sections that related to the Microsoft Data Platform. The second edition will be released in 2018.
For more information, see http://www.ikeellis.com