Master data management tutorial
MDM software tools – Vendors
The rapidly changing master data management software industry could greatly affect your MDM strategy. So, make sure to check out these many articles about the master data management software tools market. Learn about customer data integration (CDI) and product information (PIM) management platforms and find out the leading CDI and PIM vendors in Gartner’s Magic Quadrants. Also, read analysis of the many related vendor acquisitions, trends and important news in the master data management software industry.
1 – 9 of 9 in MDM software tools – Vendors
Article Gartner’s recent customer data integration Magic Quadrant reveals a maturing market, both in technology and complexity.
Article Gartner’s Magic Quadrant ranks 10 product information management systems vendors but names no leader. Evaluating software in this complex market is a challenging task.
Article Microsoft acquired master data management software vendor Stratature. Experts from Gartner and four other firms had mixed reactions on implications for the market and customers.
Article Forrester expects master data management spending to increase dramatically by 2010, but recommends three steps to take before investing in master data management software.
Podcasts IBM’s become a major player in the master data management tools market via acquisition and development. In this podcast, VP Paraic Sweeney discusses IBM’s MDM strategy and roadmap.
Article To combat confusion, Forrester and Gartner released frameworks for evaluating master data management technology. They say that no one tool can solve all master data management problems.
Article At IBM’s inaugural Information on Demand event, executives dramatically introduced a new “Information Server.” The software platform will be the first of its kind, they said.
Article Over the past year, master data management has become a topic of interest to CIOs seeking to rationalize their enterprise information architectures. What is master data management? And what role can DB2 play in making master data management a success?
Article Nortel Networks is streamlining its data sources and installing SAP’s master data management middleware. But SAP MDM lacks functionality, and customers need third-party tools to meet typical MDM requirements, analyst says.
1 – 9 of 9 in MDM software tools – Vendors
Databricks brings new features to its managed Spark platform — as well as to open source Spark — that it hopes will make the computing engine more widely usable.
At Facebook it’s all about user engagement, and to accomplish this, the company relies heavily on deep learning algorithms to tailor its products to the interests of individuals.
Modern AI tools fall short of true artificial intelligence, and this could have implications for how the technology is used by enterprises in the near future.
AWS Batch makes it easier to automatically spin up EC2 instances and boost capacity to provision resources for uneven application workloads.
AWS’ machine learning service eases the onramp for developers new to AI, but tools from cloud competitors like Google and Azure offer more advanced deep learning capabilities.
We need to perform extract, transform and load processes on data, but the work is labor-intensive and error-prone. Is there an AWS tool to simplify this task?
SQL Server 2017 has made 5 key improvements that can help integrate AI capabilities and analytics into the enterprise more seamlessly.
As vendors migrate to the cloud and companies seek more functionality, new ECM capabilities have begun develop in order to meet demand.
The new SharePoint framework and its approach to application development could change the way the enterprise thinks of applications in the cloud.
It’s time to stop worrying and embrace the Oracle cloud, at least in a hybrid environment that integrates cloud and on-premises systems. Otherwise, you could miss out on too many benefits.
Oracle’s Multitenant technology enables users to plug multiple databases into a single container database. Is it time for your organization to consider a migration?
Hybrid cloud storage systems sound great in theory. So why has it taken vendors so long to produce one that’s actually ‘hybrid’?
Lowest value determination; first in, first out; and last in, first out valuation types ensure companies can legally comply with accounting principles, such as GAAP and IFRS.
Jack Link’s Beef Jerky went with a hosted deployment on SAP HANA Enterprise Cloud when upgrading SAP ECC to HANA. Here are some lessons on how to thrive in a hosted environment.
Preventing the bullwhip effect requires a fundamental and strategic shift from supply-focused materials planning to demand-focused materials replenishment.
2015 was a big year for mobile — and 2016 is bound to be even bigger. But what IoT and mobile technology trends can we really expect in the new year? Matthew David offers his take.
With a wealth of emerging and maturing SOA technologies in 2014, SOA could have been one of the cool kids. But, instead, SOA took a back seat in 2014.
While it’s tempting to do integration tactically, it’s better overall to go the strategic route. Inside this article, Beth Gold-Bernstein offers compelling reasons and some initial insight.
Establishing SQL Server performance baselines is a crucial first step for cloud migrations, says a University of Notre Dame DBA, who is using database monitoring software to do so.
As SQL Server changes, so does Integration Services. See the latest SSIS updates, such as added Linux support and an Upgrade Wizard for SQL Server 2016.
As many in IT have learned the hard way, building software containers for systems like SQL Server can be tough. That’s where Dockerfiles come in to help automate the process.
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