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A Technical Overview of the Oracle SPARC SuperCluster T4-4
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Oracle - Autonomous computing that declines a special name
Oracle has chosen not to name its artificial intelligence efforts after a genius departed, like Einstein, Leonardo, Watson, or Coleman. This does not mean it has refrained from baking AI, especially machine learning, into its database and applications.
Far from it. Larry Ellison, the company’s founder and chief technology officer, declared the Oracle database “autonomous” – and revolutionary – last year and co-CEO Mark Hurd has been stressing the machine learning being added to the vendor’s applications since then, too.
Allied to the turn to autonomisation has been the firm’s march to the cloud, which has been steady and, despite financial analyst concerns that the revenue from it has been obscured, ostensibly serious in intent.
From this e-guide you can follow Oracle’s twin paths to adding AI and delivering its software over the cloud – on its own platform and infrastructure as a service, from 2017 to 2018.
An over-arching theme of Oracle’s case regarding its infusion of machine learning and its declared re-architecting of its cloud delivery has been security, security, security.
These are also closely related to: "A Technical Overview of the Oracle SPARC SuperCluster T4-4"
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Jargon buster guide to database management
Database management roles have long been a rich career seam for IT professionals. However, there has been, in recent years, a “Cambrian explosion” in the previously steady but sleepy world of databases.
The relational database model, breaking the traditional dependency between data storage and applications, held sway in enterprise IT for decades, from the time of its serious commercialisation by Oracle in the mid-7os. Also hegemonic has been the language implementation of the relational model, SQL – Structured Query Language; which is of the same mid-70s vintage.
But, in recent years, with the rise of the big data technologies of the Hadoop stack and the NoSQL databases, the data store and database scene has become more complex.
And when it comes to the Oracle database, its creator announced it to be “autonomous” at Oracle Open World in San Francisco October 2017. What does this mean for database administrators (DBAs)? Does it mean the opening up of new roles of higher intellectual interest and value? Or does it mean redundancy and early retirement?
As always with IT, the technology is only one-third of the story – the others being process and, crucially, people. What are the operational and organisational design problems to be solved in this more heterogenous database management landscape?
This Jargon Buster e-guide to contemporary database management is an aid to stepping back and thinking afresh about an area of enterprise IT that has many decades of heritage. Or, as many sometimes (arguably rudely) put it, legacy.
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A Computer Weekly buyer's guide to NoSQL
There’s a lot of data out there, much of which doesn’t
need to be stored in heavyweight relational databases complete with complex query languages. In this 13-page buyer’s guide, Computer Weekly looks at a new category of NoSQL data stores and how they are being used.
Discover more on:
- NoSQL offerings from Microsoft and Oracle
- The suppliers behind the emergence of databases that organise web-scale datasets and the like – and the most recent set of upstarts dubbed NewSQL
- Enterprise use cases for NoSQL database technology
