datawarehouse: All content tagged as datawarehouse in NoSQL databases and polyglot persistence
Matt Asay writes in the ReadWrite article that Hadoop is not replacing existing data warehouses, but it’s taking all new projects:
Hadoop (and its kissing cousin, the NoSQL database) isn’t replacing legacy technology so much as it’s usurping its place in modern workloads. This means enterprises will end up supporting both legacy technology and Hadoop/NoSQL to manage both existing and new workloads […]
Of course, given “the effective price of core Hadoop distribution software and support services is nearly zero” at this point, as Jeff Kelly highlights, more and more workloads will gravitate to Hadoop. So while data warehouse vendors aren’t dead—they’re not even gasping for breath—they risk being left behind for modern data workloads if they don’t quickly embrace Hadoop and other 21st Century data infrastructure.
On his blog, Timo Elliott makes sure that there’s some SAP in that future picture and uses their Hadoop partner, Hortonworks to depict it:
No. Ignoring the many advantages of Hadoop would be dumb. But it would be just as dumb to ignore the other revolutionary technology breakthroughs in the DW space. In particular, new in- memory processing opportunities have created a brand-new category that Gartner calls “hybrid transactional/analytic platforms” (HTAP)
The future I’d like to see is the one where:
- there is an integrated data platform. Note that in this ideal world, integrated does not mean any form of ETL
- it supports and runs in isolation different workloads from online transactions and bulk upload to various forms of analytics
- data is stored on dedicated mediums (spinning disks, flash, memory) depending on the workloads that touch it
- data would move between these storage mediums automatically, but the platform would allow fine tuning for maintaining the SLAs of the different components
Original title and link: Three opinions about the future of Hadoop and Data Warehouse ( ©myNoSQL)
For Cloudera, the first vendor to offer a Hadoop distribution, the answer is an unequivocal yes. Last November, Cloudera finally exposed its true sentiments by introducing the Enterprise Data Hub in which Hadoop replaces the data warehouse, among other things, as the center of an organization’s data management strategy. In contrast, Hortonworks takes a hybrid approach, partnering with leading commercial data management and analytics vendors to create a data environment that blends the best of Hadoop and commercial software. In short, Cloudera offers revolution, Hortonworks evolution.
You know what? Both are right. To replace existing enterprise data warehouse, the first step is in cohabiting with them.
Original title and link: Does Hadoop replace or augment the enterprise data warehouse? ( ©myNoSQL)