Teradata has used its 2017 EMEA user, partner, customer, developer (and other-related practitioner) conference this week to explain how it now positions itself as a firm with a suite of data warehouse appliances and analytics products.
What does it take?
The firm has stated that it set out to use this year’s event to examine the following:
- What it takes to move a production big data analytics workload to the cloud.
- What it takes to develop an analytics company culture.
- What it takes to move to a point where we can say — what get’s measured, gets managed.
The move to digital data business
So digging into the reality of what it means to become a digital data-driven business today… the audience tuned to Mikael Bisgaard-Bohr, executive vice president & chief business development officer.
Danish born Bisgaard-Bohr presented a series of thoughts on how firms are now becoming oh-so dependent on data. Commentators have discussed the state of the German automotive market and said that the golden age of engineering is now gone as we move to a future with software-driven vehicles that depend more on IT engineering than physical mechanical engineering.
Disney ‘instruments’ the business model
Bisgaard-Bohr also used the example of the Disney ‘MagicBand’ wristband system that allows the parks to track guests and know where they (within agreed privacy boundaries) and be able to provide them with access to rides, open their room doors, pay for restaurant meals and so on.
“If Disney can ‘instrument’ its operations with the MagicBand, then don’t tell me there is any industry that can’t be similarly data managed,” said Bisgaard-Bohr.
Not all data is created equally
So data is data in the data lake and in the data warehouse, right?
Well not so much… some data we need to clean, de-duplicate and start to use immediately. Other data we want to keep and use, but not just now. Other data we think there will could be some use for in the future, but we have no idea when, however we do want to still hold on to it… so we’ll just stick it in the data lake for now.
According to Teradata then, we need to build an infrastructure that we can manage data and allocate it dependent on its form, function and type.
Data will differ wildly dependent upon its:
- Cleanliness and readiness for use.
The firm points to its latest product news which includes an all-memory update to its flagship Teradata IntelliFlex platform. This technology is focused on performance and storage density in a single cabinet.
The upgrades are driven by a move to all solid state drives (SSD), which makes it possible to reduce required datacentre space while delivering an increase in processing power for mission-critical analytics at the speed-of-thought.
Teradata also announced the new ready-to-run Teradata IntelliBase platform with its single cabinet support for multiple software technologies, re-deployable hardware and low, commodity hardware price-point.
Both products are offered on-premises, with Teradata IntelliCloud availability coming soon…. and both run the same Teradata database software to enable a high-performance hybrid cloud solution.