Data Management: Page

Examining the IBM PureData System for Analytics appliance

Powered by Netezza technology, the IBM PureData System for Analytics data warehouse appliance enables users to execute complex queries and get results quickly.

By Craig Mullins • Feb. 15, 2016

Data quality metrics a governance must, managers say

Data governance managers who spoke during an online conference said that tracking business-oriented metrics on data quality improvement is a key to success in governance efforts.

By Craig Stedman • Jan. 29, 2016

The benefits of deploying a data warehouse platform

Big data may be all the rage, but data warehouse platforms are still being utilized by companies of all sizes. Expert Craig S. Mullins takes a look at the technology.

By Craig Mullins • Nov. 16, 2015

Three ways to build a big data system

In a book excerpt, author Dale Neef outlines and compares different approaches organizations can take when trying to bring a big data system into their IT environments.

By Dale Neef • Oct. 29, 2015

drone photography

Drone photography is the capture of still images and video by a remotely-operated or autonomous unmanned aerial vehicle (UAV), also known as an unmanned aircraft system (UAS) or, more commonly, as a drone.

By TechTarget Contributor • Aug. 31, 2015

Types of NoSQL databases and key criteria for choosing them

In a book excerpt, consultant Dan Sullivan offers insights into how to select the right type of NoSQL database for the right application in your organization.

By Dan Sullivan • Aug. 14, 2015

How to identify master data in a multi-domain MDM program

In an excerpt from their book on managing multi-domain master data management programs, Mark Allen and Dalton Cervo explain how to identify MDM domains and your master data.

By Mark Allen and Dalton Cervo • Aug. 13, 2015

SAP HANA in-memory DBMS overview

SAP HANA is an in-memory DBMS and application platform designed to handle high transaction rates and complex queries using one data copy.

By Craig Mullins • Aug. 7, 2015

Redis open source DBMS overview

The Redis open source DBMS provides a highly scalable data store that can be shared by multiple processes, applications or servers.

By Craig Mullins • July 31, 2015

MySQL open source RDBMS overview

Developers, database administrators and DevOps teams use MySQL open source RDBMS to more easily operate next-generation applications in the cloud.

By Craig Mullins • July 27, 2015

Which in-memory DBMS best fits your company’s needs?

Database expert Craig S. Mullins examines some top in-memory DBMS software offerings to help you determine which is the best fit for your organization.

By Craig Mullins • June 11, 2015

Oracle Database 12c relational database management system overview

Oracle Database 12c delivers strong performance for mission-critical workloads, with features and functionality for diverse processing needs and requirements.

By Craig Mullins • June 4, 2015

Relational database design tips to boost performance

As relational database management systems handle more and more data, a strategic approach to data modeling has become vital.

By Rick Sherman • May 18, 2015

Which relational DBMS is best for your company?

Database expert Craig S. Mullins examines the top relational database management system software to determine which best fits your organization.

By Craig Mullins • April 30, 2015

How to determine if an in-memory DBMS is right for your company

Database expert Craig S. Mullins examines the pros and cons of the in-memory database management system, and the criteria you should consider during the request-for-proposal and evaluation period.

By Craig Mullins • April 17, 2015

Key considerations for determining if a NoSQL DBMS meets your IT needs

NoSQL represents the fastest-growing type of DBMS being adopted today. Is it right for you?

By Craig Mullins • March 27, 2015

Key criteria for deciding if a relational DBMS meets your IT needs

For many organizations, a relational database management system will get the job done; others need to keep looking to fulfill their needs.

By Craig Mullins • Feb. 24, 2015

Five steps to implementing an MDM program

Instituting a master data management program involves discovery, analysis, construction, implementation and sustainment processes, according to MDM expert Anne Marie Smith.

By Anne Marie Smith, Ph.D. • Feb. 19, 2015

Conversation with Monash: On horses for courses and parallelism

Data industry viewer Curt Monash discusses parallelism and more as new databases gain attention. Part 1 in a series.

By Jack Vaughan • May 30, 2014

OAUG Q&A: What’s ahead for Oracle ERP systems and Fusion

Alyssa Johnson, president of OAUG, discusses the future of Oracle Fusion Applications and their coexistence with cloud in this Q&A session.

By Jessica Sirkin • March 13, 2014

Q&A with Alyssa Johnson: OAUG president talks Oracle Fusion Applications

Question and answer session with OAUG President Alyssa Johnson about the future of Oracle Fusion Applications and their coexistence with the cloud.

By Jessica Sirkin • March 11, 2014

Using data profiling techniques -- and estimating the effort required

Data profiling is a key part of data quality efforts. Here's a simple formula for calculating the amount of time needed to profile a data set.

By David Loshin • Jan. 16, 2014

Quiz: Improving your data governance and data stewardship program

Do you know what it takes for an effective data governance structure to take root in an organization? Take this quiz and find out.

By Melanie Luna • Oct. 15, 2013

Data steward role needs some shepherding itself

Consultant David Loshin gives suggestions for building and managing a data stewardship program that can effectively support data governance.

By David Loshin • Sept. 3, 2013

Big data adds new complications for data stewards

In order to accommodate big data and the needs of data scientists, data stewards will need to adjust to a more short-term view of data stewardship.

By Beth Stackpole • Aug. 29, 2013