“Designing, Managing & Operating a Distributed Data Lake” presented by Mr. Mike Ferguson
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ATTENTION ALL BI/DW AND MASTER DATA MANAGEMENT PROFESSIONALS!
Please join us at TDWI Denmark Chapter on Friday the 2nd of June for another interesting presentation on BI/DW and master data management.
Designing, Managing & Operating a Distributed Data Lake |
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When:
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Friday the 2nd of June 2017 09:00–13:30
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Where:
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SAS Institute A/S
Købmagergade 9
1150 København K
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Agenda:
08:30 – 09:00 |
Registration and coffee with “Kanel fristelser”
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09:00 – 10:30
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Designing, Managing & Operating a Distributed Data Lake
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10:30 – 10:45
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Coffee Break
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10:45 – 12:15
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Designing, Managing & Operating a Distributed Data Lake
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12:15 –12:30
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TDWI DK General Assembly
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12:30 – 13:30
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Networking, Sandwich and Refreshments
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Please RSVP.
Don’t miss this chance to hear Mr. Mike Ferguson and to connect with your peers
For more information about TDWI Membership, contact [email protected] or [email protected]
Please RSVP.
Connect also to our group on LinkedIn: TDWI – Denmark
Abstract
Designing, Managing & Operating a Distributed Data Lake
For many companies, the number of new data sources that a business wants to analyze is rapidly increasing. In addition, data integration is now happening almost everywhere in the organization whether it be for master data management, data warehousing, building data marts, data science projects, real-time analytics, or self-service BI. The result of all this activity is that the cost of data integration is rising rapidly, silos are emerging and complexity in terms of managing a governing data has the potential to spiral out of control.
Therefore, many are saying, create a data lake. Put all data in one place where you can clean and integrate it for any purpose. However, data is being collected in many different locations across the enterprise and in the cloud with much of it too big to move. So how do you manage and govern this environment? How do you accelerate delivery of trusted data that is ready for business use? This session looks at this problem and proposes a new collaborative information architecture to organize, govern, rapidly process, and manage distributed big and small data to provision it to wherever it is needed.
- Data integration complexity
- The siloed approach to managing and governing data
- A new inclusive approach to governing and managing data
- Introducing the distributed data reservoir and data refinery
- Goals of a data reservoir
- How does a data reservoir and data refinery work?
- Tasks and services to manage and prepare data
- The mission-critical importance of an information catalog in a distributed data landscape
- Managing multiple data integration tools in a distributed data reservoir and data refinery
- The publish and subscribe model for readying information
- Mapping new data and insights into your shared business vocabulary
- Enabling the dynamic data map—managing metadata in a graph database
- Creating an Amazon for data—ordering trusted data as a service
Biography
Mike Ferguson is managing director of Intelligent Business Strategies Limited. As an analyst and consultant, he specializes in business intelligence and analytics, data management, big data, and enterprise architecture. With over 35 years of IT experience, Mike has consulted for dozens of companies on business intelligence strategy, technology selection, enterprise architecture, and data management. He has spoken at events all over the world and written numerous articles. Formerly he was a principal and cofounder of Codd and Date Europe Limited—the inventors of the Relational Model, a chief architect at Teradata on the Teradata DBMS and European managing director of database associates. He teaches popular master classes in big data, predictive and advanced analytics, fast data and real-time analytics, enterprise data governance, master data management, data virtualization, building an enterprise data lake, and enterprise architecture.