Since its initial rise in 2008, Hadoop and its yellow elephant logo have become ubiquitous in the data world and are largely synonymous with the concept and implementation of big data. Both terms—Hadoop and big data—have been so used and abused in marketing by vendors and consultants alike that their real meanings have been confused and obscured.
In the past year or two, Hadoop has fallen somewhat out of favor, experiencing a set of midlife crises: of identity, confidence, deployment, cloudiness, and data governance. This series of five ThoughtPoints, published from October 2019 to January 2002, explores Hadoop’s strengths and weaknesses, and what we should do about them as we enter a new decade when analytics has become a central aspect of digital transformation.
We conclude that Hadoop is not yet dead, but that in significant aspects of its current use, enterprises would be well advised to revisit relational technology as a foundation for improved data and systems management, and as a single access point for analytics distributed among multiple technologies and across a hybrid on-premises and cloud delivery environment. Teradata VantageTM with Advanced SQL is offered as a sound foundation for such an approach.
CortexDB is the first example of a new class of information management tool that allows data and context to be managed with both independence and integration, a feature that is central to reuse of information for different business purposes.
Read all five ThoughtPoints in this series in this formatted pdf.
As CortexDB transitions from customer-driven
projects to a roadmap-based product development approach, it is well-positioned
to occupy a leading position in the emerging Information Context Management
System (ICMS) market and deliver key functionality in support of digital
Dirty data is not the real problem. CortexDB reframes the challenge: figuring out the true meanings hidden in the grime created when data sources—from people to sensors—deliver low quality data. In the fourth article of this series, we explore data distillation.
digital world, every piece of data serves multiple purposes for different
people and organisations. In the third article of this series, we see how CoxtexDB
addresses the new and difficult issues that arise when the same data has