Jan 04, 2012 by Jim Harris in Big Data, Data Governance, Data Integration, Data Management, Data Migration, Data Quality, Master Data Management
Welcome to the unofficial 2011 quarterly review that I have decided to perform on the Data Roundtable. In this four-part series, I will summarize my personal favorite blog posts published on this blog during each calendar quarter of this year.
Part 1 of this series covered blog posts from January, February, and March.
Part 2 of this series covered blog posts from April, May, and June.
Part 3 of this series covered blog posts from July, August, and September.
Part 4 concludes this series with blog posts from October, November, and December.
Big Data – Big News! — Joyce Norris-Montanari examines the implications of Big Data.
“Occupy” Conference Rooms… — Rich Murnane occupies his own DataGeek thoughts about helping our organizations becoming more data aware.
Semantimetadata – Managing Semantic Reference Data Quality — During Neologism Month, David Loshin coins the term Semantimetadata to refer to semantic metadata management.
Data Psychedelicatessen — During Neologism Month, Jim Harris coins the term Data Psychedelicatessen for how some business decision-makers support non-data-driven decisions.
Branding Data Quality — Thomas Redman shares an illustration by Nancy Pullen illustrating the difference between most data quality teams and high performing data quality teams.
Dual is a Four-Letter Word, Part II — Phil Simon concludes his blog series about getting your data into one system.
Data Governance and the Wet Bar — Jill Dyché explains that how disruptive data governance should be depends on the organizational appetite for change.
Zero Defect Data Migration? Yes, Seriously. — Dylan Jones explains that “Zero Defects” is not a myth; it should be the goal for your data migration.
Models, Models and Models — Joyce Norris-Montanari explains logical and physical data models.
“Big Data” and the Failure to Communicate… — Rich Murnane (aka Cool Hand DataGeek) discusses the business and technology aspects of Big Data.
What Types of Activities are Suited to Hadoop? — David Loshin maps and reduces the characteristics of Hadoop-able data management problems.
Decision-Driven Data Management — Jim Harris previews his DataFlux webcast and white paper about data-driven decision making.
On Data and Jargon — Phil Simon explains how it’s nearly impossible to solve a problem without first understanding the problem and its dimensions.
Putting Data in the Middle — Jill Dyché explains that we need to design our data strategies just as we design our organizations, our business processes, and our systems.
Step Away from the Data — Dylan Jones explains the importance of stepping away from your data, and speaking with the people who derive real business value from your organization’s data.
Can Suzy Come Out and Play? — Joyce Norris-Montanari explores the developer’s playground.
Proposing Measurements of Outcomes — David Loshin shares some suggested measures for the quality of our decision-making processes, aka decision quality.
An Enormous Tent — Thomas Redman explains that we need men and women with the best hearts, the live heads, and the strong spirits who want to do what’s best.
On Amazon and Necessary Conditions — Including a great infographic by Frugal Dad, Phil Simon examines the solid data management practices of Amazon.
Leveraging Data Quality Correlations — Dylan Jones discusses the need to correlate your data quality improvement efforts with the attainment of your business goals.
On behalf of all the contributors to the Data Roundtable, thank you for reading and commenting on the posts published on this blog throughout the year. Your readership is deeply appreciated.