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Enterprise data lake deepens big data management challenges
'Artisanal' Hadoop environment complicates big data system design
Hadoop 'father' Doug Cutting talks of changes on data front
Low adoption nags Hadoop technology; data storytelling rises
MongoDB database shines; customer data analysis brings challenges
Microsoft Power BI in Convergence spotlight; Apache Spark draws interest
For some companies, business applications in the cloud is first choice
New Hadoop projects aim to boost interoperability, data lake benefits
Forget meaningful use; for healthcare providers, it's all about interoperability
Mobile apps, machine data shape analytics trends in 2014
AWS infrastructure enterprise-ready? Amazon says so at re:Invent
HR analytics tools, EHR systems lead conference coverage
Oracle database cloud floated at OpenWorld; Java 8 eyed at JavaOne
Social business model a struggle for many; Infor pushes cloud apps
Big data platforms pose same issues in cloud as on premises
Common big data definition still missing from IT vocabulary
SMAC stack offers more strategic data role for IT teams
Talent management tools offer HR a makeover; data lake harbors info
Hadoop projects should start with real business need
Dyche: Don't fill chief data officer role until you're ready for it
In-memory database systems worth thinking about, McKnight says
A user's view on using Hadoop technology: Find a use case
Hadoop use cases, adoption lag behind vendor hype
Imhoff: Data warehouse architecture must go beyond the traditional
Mix of data management platforms tapped to support big data projects
McKnight: Building a big data ecosystem not a cookie-cutter concept
DeKenipp: Data Management Maturity Model points way to best practices
IBM Information on Demand: Mills unveils new big data analytics tools
University lecturer reports bad news about your information governance program
IBM BLU Acceleration portfolio gets an update at IOD conference
Big media: The next stage in the evolution of big data?
Cisco reveals plans for the future of Composite Software
MongoDB CEO sheds light on NoSQL database technology
White: Mind the hype in evaluating and choosing Hadoop technology
McKnight: Relational vs. NoSQL databases not a winner-take-all game
Rogers: Businesses shift from data warehouse to 'hybrid data ecosystem'
Q&A: WhereScape Software on 'big data' management, data warehousing
Sacred cows of using data warehouse software – and how to tip them
Common mistakes that can derail a data governance strategy and program
Pfizer's Michael Linhares talks about data virtualization software
Has business intelligence (BI) technology become a commodity?
Solving your application and data integration challenges
The models of data stewardship: how to run a data governance program
DataFlux demonstration of product data quality software
Why is culture change management for MDM so difficult?
Tips for aligning business and IT teams during MDM implementations
Why is managing change challenging for master data management initiatives?
What is data change management for MDM?
How to approach culture change management for MDM
What is business change management for MDM?
Video: Tips for MDM change management
IT change control vs. MDM data change management
Can one MDM hub handle both customer and product data?
In customer data integration, is a "customer" always an individual?
What is the difference between data governance and IT governance?
What is a data competency center or data management competency center?
What is data governance?
How do you calculate MDM ROI?
Do I need to buy software to do MDM?
What is master data management (MDM)?
Who should manage an MDM implementation — IT or business?
Most organizations still lacking data governance plans
Getting started with a customer data integration implementation