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: November 6-7
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.
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
