Videos

Enterprise data lake deepens big data management challenges

Distributed data lakes with Hadoop clusters and other systems create new data management and governance needs that are hard to meet with existing tools, says IT analyst Mike Ferguson.
'Artisanal' Hadoop environment complicates big data system design

Gartner analyst Merv Adrian discusses why organizations often have trouble with deployments of Hadoop-based big data architectures, and how to avoid the challenges they pose.

Hadoop 'father' Doug Cutting talks of changes on data front

Hadoop co-creator Doug Cutting takes time out at Strata + Hadoop World to reflect on the software's effect on development. A willingness to experiment is still a hallmark.
Low adoption nags Hadoop technology; data storytelling rises

The latest episode of BizApps Today examines barriers to Hadoop technology adoption, SQL-on-Hadoop options and the new concept of data storytelling.
MongoDB database shines; customer data analysis brings challenges

This episode of BizApps Today looks at the appeal of MongoDB database features and why companies struggle with determining a unified view of their customers.
Microsoft Power BI in Convergence spotlight; Apache Spark draws interest

While Power BI took center stage at Microsoft Convergence, many users are struggling with CRM basics. Also: insight on the Spark processing engine.
For some companies, business applications in the cloud is first choice

Cloud applications are no longer curious IT experiments -- now they're often on shortlists of deployment options.
New Hadoop projects aim to boost interoperability, data lake benefits

As companies get a better handle on how to use big data wisely, a new effort on interoperability for Hadoop projects gets a mixed reaction.
Forget meaningful use; for healthcare providers, it's all about interoperability

With digital records finally the norm in healthcare organizations, providers are today looking at how to use that data to help achieve more positive medical outcomes.
Hadoop use cases, adoption lag behind vendor hype

SearchDataManagement's Joe Hebert and Ed Burns discuss the gulf between Hadoop hype and enterprise adoption that was highlighted at the 2014 TDWI conference in Boston.
Imhoff: Data warehouse architecture must go beyond the traditional

In a video interview, consultant Claudia Imhoff discusses the increasing need to augment data warehouses with technologies such as Hadoop and real-time analytics systems.
Mix of data management platforms tapped to support big data projects

Consultant John Myers discusses key trends in managing big data environments, including adoption rates for Hadoop clusters and NoSQL databases.
McKnight: Building a big data ecosystem not a cookie-cutter concept

Consultant William McKnight discusses the variable nature of information architectures in the big data era, and offers design and deployment tips.
DeKenipp: Data Management Maturity Model points way to best practices

Patrick DeKenipp, head of BI at Sterling National Bank, discusses how the Data Management Maturity Model can help companies improve their processes.
University lecturer reports bad news about your information governance program

The key to getting executive buy-in for an information governance program is putting things in terms that C-Level executives can understand.
IBM BLU Acceleration portfolio gets an update at IOD conference

Research analyst Joe Clabby dishes the skinny on the big data hardware market and the expansion of the IBM BLU Acceleration portfolio.
MongoDB CEO sheds light on NoSQL database technology

MongoDB CEO Max Schireson explains the basics of NoSQL database technology and offers sage advice for anyone considering a big data initiative.
White: Mind the hype in evaluating and choosing Hadoop technology

In a video Q&A, consultant Colin White outlines his thoughts on the maturity of Hadoop software and what to consider when choosing a Hadoop platform.
McKnight: Relational vs. NoSQL databases not a winner-take-all game

In a video interview, consultant William McKnight discusses NoSQL and relational databases and says there's room for both in IT architectures.
Q&A: WhereScape Software on 'big data' management, data warehousing

Michael Whitehead, CEO and founder of WhereScape Software, discusses "big data" management challenges, gives tips on overcoming those obstacles and explains WhereScape's data warehousing strategy.
Solving your application and data integration challenges

In this video interview, industry expert Rick Sherman discusses how to overcome application and data integration challenges and the best technologies for data integration success.
The models of data stewardship: how to run a data governance program

At the TDWI World Conference, industry experts Jill Dyche and Kimberly Nevala went over their five data stewardship models and discussed how to create a successful data governance process.
Video: Tips for MDM change management

In this MDM change management video, get advice and change management tips, learn why planning is key for culture change management and get best practices from our expert.
Why is managing change challenging for master data management initiatives?

Learn why managing change for master data management (MDM) is a challenge, the three types of change management and change management issues with change management best practices.
IT change control vs. MDM data change management

Learn about IT change control vs. change management and the differences between IT change control and data change management for master data management. Read about procedures and process for IT change control and data change management.
What is data change management for MDM?

Get a definition of data change management for master data management (MDM), learn data change management concepts and get an example of data change management from a change management expert.
What is a data competency center or data management competency center?

What is a data management competency center or a data competency center? Find out why having a group of data management specialists who are data centric and data skilled can help with master data management (MDM) projects and processes.
What is the difference between data governance and IT governance?

In this MDM video, discover why data governance and IT governance are different and find out how to design a data governance and IT governance framework in your organization. Also hear data governance best practices from MDM expert Jill Dyche.
What is master data management (MDM)?

Successful master data management is part MDM technology, part MDM implementation and part MDM skills wrapped around all of that. Find out how an expert would define MDM by listening to the definition of MDM in this video and learn how to initiate an MDM project.

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