In the last five years, digital transformation has reshaped data management presenting new challenges and opportunities including:
- Data complexity caused by many more data sources with data now stored in SaaS applications, on multiple clouds, on-premises and streaming in from the edge
- Business units are buying data catalogs to help understand, govern and provision data
- Multiple new siloed analytical systems like streaming analytics, lakehouses and graph databases have appeared beyond the data warehouse offering alternative new data architectures
- Data modeling seems to have disappeared
- Data engineering is now happening everywhere and new technologies like Data Fabric and Modern Data Stacks have emerged offering way more than ETL
- CEO’s now see data and AI as strategic and needed in every part of the business. They are demanding a way forward to speed up development.
So how do you make sense of all this? Is there a future for the data warehouse? Is data modeling dead? With so many competing data architectures, which one is best? How do you meet all requirements and prevent chaos? That’s what this course is all about.
Why attend
You will learn:
- How to assess your existing environment, look at the considerations, define future requirements, and design a new modern data architecture that modernizes your data warehouse, and makes it possible to merge it with multiple analytical workloads like data science, streaming analytics, and graph analysis
- How a modern data architecture allows you to use a data catalog, data fabric and data observability to build resilient DataOps pipelines to create a data mesh of reusable data products published in a data marketplace that help shorten time to value by enabling new insights and AI to be delivered more rapidly
Who should attend
CDOs, CIO’s, IT Managers, CTOs, Business Analysts, data scientists, BI Managers, data warehousing professionals, enterprise architects, data architects, solution architects, Business Intelligence Specialists, IT strategists, Database administrators, IT consultants.
Prerequisites
This course assumes you understand basic data management principles and data architecture plus a reasonable understanding of data cleansing, data integration, data catalogs, data lakes and data governance.
Instructor
Mike Ferguson is the Managing Director of Intelligent Business Strategies Limited. As an independent IT industry analyst and consultant, he specializes in BI/Analytics and data management. With over 40 years of IT experience, Mike has consulted for dozens of companies on BI/analytics, data strategy, technology selection, data architecture and data management.
Mike is also conference chairman of Big Data LDN, the fastest-growing data and analytics conference in Europe and a member of the EDM Council CDMC Executive Advisory Board. He has spoken at events all over the world and written numerous articles.
Formerly he was a principal and co-founder of Codd and Date Europe Limited – the inventors of the Relational Model, a Chief Architect at Teradata on the Teradata DBMS.
He teaches popular master classes in Data Warehouse Modernization, Big Data Architecture & Technology, How to Govern Data Across a Distributed Data Landscape, Practical Guidelines for Implementing a Data Mesh (Data Catalog, Data Fabric, Data Products, Data Marketplace), Real-Time Analytics, Embedded Analytics, Intelligent Apps & AI Automation, Migrating your Data Warehouse to the Cloud, Modern Data Architecture and Data Virtualisation & the Logical Data Warehouse.
The event: 17-18 October 2024
Instructions start at 9.00 am and end at 17.00 pm. Lunch, morning, and afternoon snacks are included. Let us know if you have any dietary restrictions or any other special needs.
Venue
The venue for this class is hosted by Avega Group.
Avega Group – The Elevate Room is in Sturegallerian, one of Stockholm’s most prestigious addresses. The entrance is located opposite restaurant Tures.
Address
Avega – The Elevate Room
Grev Turegatan 11A, 3rd floor, 114 46 Stockholm, Sweden
Format
On-site at Avega Elevate venue
Price
The fee for this course is EUR 1.450,00 (+VAT) per person.
We offer the following discounts.
- 10% discount for groups of 2 or more students from the same company registering at the same time.
- 20% discount for groups of 4 or more students from the same company registering at the same time.
Cancellation policy
In case of no show, the full course amount will be charged. If you are unable to use your place, for example due to illness, it may be transferred to another person in consultation with the organizer. (Any license costs will be charged if a replacement is not found.) Cancellation must be made no later than 2 weeks before the course. If the course is canceled, the course fee will be refunded in full.
Registration and more information!
I accept that the information I provide will be saved by the recipient and possibly used to contact me in the future to send me relevant information about other events that you think might interest me. I can easily unsubscribe from these mailings if I no longer wish to receive information from Avega by emailing gdpr@avega.se
Develop with Avega!
Elevate is Avega’s forum for competence development where our employees’ interests and needs control the content. The purpose is to offer a platform where both our employees and our customers continuously develop.
Avega improves companies, society and people’s lives through digital transformation. Avega was founded in 2000 and has been a subsidiary of Tietoevry since December 2017. Avega is established in Stockholm, Gothenburg and Malmö.
