Data management for analytics: Best practices and examples
Focus on data governance, quality and storage if you want to do data management for analytics right.
Search Results: data warehouse (170)
Growing importance of data lineage when managing data for analytics
Jim Harris says learn the lineage of the data that fed the analysis before you get dazzled by visualizations or algorithms.
Streaming data – How fast is fast?
Before grabbing that streaming data so quickly, Joyce Norris-Montanari says you should ask a few questions.
Data lake management for analytics
Jim Harris warns against allowing your data lake to become a poorly managed and ungoverned data dumping ground.
Data management strategy for analytics
Avoid frustrations by following these 5 tips from David Loshin to create a successful data management strategy for analytics.
The streaming data paradigm shift for legacy systems
David Loshin provides an alternate take on streaming data in the context of legacy systems.
US data regulation, part 2: What your organization can do about it now
In the second part of this series, Phil Simon argues that organizations can immediately take steps to handle likely legislation.
Data security and privacy, Part 2
Joyce Norris-Montanari talks about how to implement data privacy policies, procedures and guidelines.
Data governance – The topic that never dies
Todd Wright says data governance is more relevant than ever – especially in light of the GDPR.
Data integration challenges for the extended information enterprise
In the extended enterprise, data integration challenges abound. David Loshin explains.