Relational databases are old technology, right? Thirty years is a long time for a technology foundation to be as active as relational databases, but, like NFL coaches, we must “tolerate them until we can replace them.” Are their replacements here? In this webinar, we say no.
Databases have not sat around while Hadoop emerged. The Hadoop era generated a ton of interest and confusion, but is it still relevant as organizations are deploying cloud storage options like a kid in a candy store? We’ll discuss Hadoop’s continued potential relevance and the cloud storage option that seems vital. Use what when? This is a critical decision that can dictate two to five times additional work effort if it’s a bad fit.
Drop the herd mentality. In reality, there is no “one size fits all” right now. We need to make our platform decisions against this backdrop.
This webinar will distinguish these analytic deployment options and help you platform 2019 for success.
2. William McKnight
President, McKnight Consulting Group
• Frequent keynote speaker and trainer internationally
• Consulted to many Global 1000 companies
• Hundreds of articles, blogs, white papers, field tests, etc.
in publication
• Focused on delivering business value and solving business
problems utilizing proven, streamlined approaches to
information management
• Former Database Engineer, Fortune 50 Information
Technology executive and Ernst&Young Entrepreneur of
Year Finalist
• Owner/consultant: Data strategy and implementation
consulting firm
• 25+ years of information management and data
experience
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9. What is it for?
• Operational Database
• Operational Real‐Time
• Operational Big Data
• Operational Data Hub
• Master Data Management
• A Data Warehouse
• A Dependent Data Mart
– Dependent
– Independent
• A Data Lake
• Analytic Big Data Application
• Archive Storage
• A Staging Area
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21. Cloud Analytic Databases in the Enterprise
• Can be used for test/dev or prod; disaster recovery; bursting
• CAPEX accounting
• The cloud now offers attractive options with better
economics, such as pay‐as‐you‐go which is easier to justify
and budget, better logistics (streamlined administration and
management), and better scale (elasticity and the ability to
expand a cluster within minutes).
• While on‐premises‐first development brings a robust
database to the table, not all functions are always part of the
cloud solution and not all of the organizations behind them
have made the transition to cloud.
• Data gravity in the cloud.
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