Pre-Conference Training
HEDW is please to present the following Pre-Conference Training options for the HEDW 2024 Conference. Both of these sessions will be held on Sunday, March 17, 2024 and are full day sessions with a break for lunch. Cost is $600/person and registration will open January 2, 2024. Any questions, please contact HEDW.A Journey Through Data Warehousing Concepts and Beyond with Jeff Christen
Overview:
Explore the multifaceted realm of data warehousing through this comprehensive course on Data Warehouse concepts and related trends. This training aims to provide participants with an understanding of the fundamental concepts and vocabulary associated with data warehousing, explaining how these elements interconnect within an enterprise framework.
Key Topics Explored:
- Dimensional Data Modeling: Delve into the core concepts of dimensional data modeling and understand their relationship, or lack thereof, with Data Vault methodology.
- Data Platforms Exploration: Uncover the intricacies of various data platforms, including Data Warehouse, Data Lake, and the emerging Data Lakehouse. Gain insights into how these platforms integrate within the broader enterprise context.
- Data Transfer and Transformation Tools: Navigate the landscape of data transfer and transformation tools. It’s not simply ETL tools anymore, we now have data automation, data replication, and data integration platforms. Gain practical knowledge on their usage and relevance within the data warehouse eco system.
- Data Governance Placement: Explore the critical aspect of Data Governance and discern its strategic placement within the analytics program. Understand how effective governance contributes to the overall success of the program.
- Master Data Management Integration: Investigate the role of Master Data Management and its integration within a data architecture. Gain clarity on how master data management aligns with and supports a broader data strategy.
Jeff Christen Bio:
Manager of Data Warehousing and Integrations at Cornell University, Jeff brings over two decades of experience to various roles within Cornell's Data Warehousing and Business Intelligence program. Over the past 20 years, Jeff has been actively involved in shaping and advancing several data related programs at Cornell.
Jeff holds an adjunct instructor position for Cornell’s Computer and Information Science department. He has taught a 4 credit hour graduate level course on Business Intelligence for the past 8 years.
Jeff's association with the Higher Education Data Warehousing (HEDW) community has been integral to his professional journey. Since the early days at Northwestern University, he has actively contributed as a presenter. From 2012 to 2017, Jeff served as an HEDW board member, holding positions of conference chair, sponsor chair, and president. In April 2023, Jeff rejoined the board as a member at large, furthering his dedication to the advancement of data warehousing in higher education.
Metadata Strategies and Fundamentals with Karen Lopez
Overview:
This seminar demonstrates that today’s metadata initiatives can deliver ROI (both kinds) to secure management commitment to data management and data governance goals. Upon completion, attendees can articulate and implement improved metadata programs, reduce data management costs, and increase the value of data assets.
Learning Objectives:
- Understand the basic theories and guidance for adding metadata strategies into existing and planned data management systems
- Comprehend the many complimentary characteristics between metadata and data management practices
- Grasp the value to be gained from metadata and data governance solutions
- Articulate the business value of proposed data management projects
- Integrating Metadata into other data management solutions
Role of Metadata Management in Modern Systems
- Definitions, metadata formats and forms, examples
Motivations
- Legal, compliance, technical, and business reasons
Metadata Types
- Security, Legal, Compliance, Data Quality, Data Usability, Structural
Metadata Approaches
- Data Inventories, Classification, Tagging, Profiling
Metadata Processes
- Stewardship/Curation, Integration, Validation, Protection, Governance
Karen Lopez Bio:
Karen is a senior project manager and architect with an extensive background in development processes and information management. She specializes in taking practical approaches to systems development. She has 20+ years of public speaking (keynotes, speeches, and demonstrations). She wants attendees to have fun, gain insights and take away inspiration for working with new technologies and methods. You can follow her on social media below:
- Twitter (X) - @datachick