Right now, businesses are focused on getting the most out of their Data and AI platform without overspending to make sure it is operational and running productive workloads. This means having an always-on, 24x7 system that can handle huge spikes in workloads when needed. Many
A colleague recently shared a great quote with me from a mainframe CTO expounding on which platform is the “blue ribbon” winner for managing data across mainframe, IBM i, UNIX and Windows.
“While everyone scurried around to figure out what platform won,
a clear victor emerged: data”
For years, IBM’s Netezza proved to be an excellent option for companies to run advanced analytics on a single data warehouse appliance without needing to set up and configure a traditional data warehouse. When IBM decided to replace Netezza with Db2 Warehouse, some companies didn’t want to make
There are some people, like me, who like to know how the story ends and thus may occasionally read the last chapter before going back and reading the rest of the book. So, I guess this is a spoiler alert. The answer to the question is, “Netezza is still alive, well and evolving and IBM has now come
Simplicity is the ultimate sophistication. While there is debate about who originally coined this phrase, one thing that remains undisputed is that Netezza set the standards on what simplicity of use means in the world of enterprise data warehousing and analytics.
This is highly valuable as
The fusing of analytics with leading technologies can unlock significant business value and bring new transformation opportunities for enterprise companies. In order to be successful, analytics-based initiatives such as AI and the Internet of Things (IoT) need massive amounts of big data—and also
Owens-Illinois (O-I), the world’s largest manufacturer of glass containers, recently undertook a global migration from Oracle to Db2. Learn more about the migration and its success from O-I executives.
A company only survives for 115 years by reinventing itself, questioning assumptions, and constantly looking for an edge. Owens-Illinois (O-I), the world’s largest manufacturer of glass containers, used worldwide by many leading food and beverage brands, recently began just such a reinvention.
The IBM Integrated Analytics System (IIAS), is a unique, cloud-ready appliance and machine learning platform wields the power of an in-memory, massively parallel processing database engine with embedded Spark. It also runs on market-leading IBM Big Data Servers and IBM FlashSystem 900 storage
Big data without context is pretty much useless, especially when that context can fluctuate so widely—which is why the role of Hadoop in creating accurate analytics is crucial for deriving value from big data.