Live Webinar November 14th, 2012 1:00 pm – 2:00 pm
Webinar Duration: 1 Hour ea Credits: 1 Category C – Free PDUs
Presented by: Modern Analyst
Most organizations today have both “traditional data” (ERP, relational, and other structured) as well as “non-traditional data sources” (big data, cloud, BI metadata layers, and unstructured).Additionally, Big Data projects are popping up in your organization as well.
All this data needs to be combined into a single view with business logic or rules applied to the combined set.
How can the Business Analyst access this information, integrate the data, cleanse, and analyze in such disparate source environment?See how the Toad Business Intelligence Suite can help you make better decision. Learn how one of our customers leveraged the Toad Business Intelligence Suite to make better informed, urgent, decision.
Presenters:
Guy Harrison (LinkedIn profile) VP of Research and Development Quest Software – Guy is the author of several books and many articles on database technology Including:
Guy writes a monthly column for Database Trends and Applications. Guy is the originator of a range of Quest solutions for Oracle and other relational databases as well as for NoSQL and Hadoop. He is currently oversees the Research and Development of Quest’s Database and Business Intelligence solutions including the Toad product family.
Joanna Schloss Product Marketing Manager Quest Software – Joanna successfully launched many innovations in the BI market from innovations in the analytic applications space to BI mobility platform solutions. She currently looks after the new Toad product, Toad Business Intelligence Suite.
PDU Category C documentation details:
Process Groups: Planning Executing
Knowledge Areas: 4 – Integration 5 – Scope 6 – Time
- 4.3 Direct and Manage Project Execution
- 5.2 Define Scope
- 6.5 Develop Schedule
As a Category C, ‘Self Directed Learning’, activity remember to document your learning experience and its relationship to project management for your ‘PDU Audit Trail Folder.’
Click to register for Got Big Data? How Can You Combine Big Data with Traditional Enterprise Data?