OBIEE12c — Pushing-Up Daisies … or more Relevant than Ever in the World of BiModal IT?
… or is it more relevant than ever in the world of BiModal IT, and Mode 1 + Mode 2 Analytics?
You won't be surprised to find that I think it's the latter … as Gartner set out in their press releases and articles around Modern BI Platforms and Mode 1/Mode 2 analytics, the key now is for IT departments to enable users to perform their own analytics and explore data on their own, not by doing it themselves but by creating a platform, both on-premise and in the cloud, to make this possible.
Slides (and some embedded videos) from my session at the inaugural Danish BI Meetup in Copenhagen, "From lots of reports (with some data Analysis) to Massive Data Analysis (With some Reporting)" — on the future of BI, how Hadoop is the new analytic platform, and how the BI industry is changing with the advent of self-service data discovery tools.
This all works well and means that my dashboards and analysis in Big Data Discovery are at most one-hour behind the actual activities that take place in my smartphone apps or in my home amongst the various connected heating thermostats, presence sensors and other devices eventually feeding their activity through my Samsung Smart Things hub and the smartapp that I've got running in Samsung's Smart Things cloud service.
More recently though I've got the same activity also loading into Apache Kudu, the new real-time fast analytics storage layer for Hadoop, using a new Hadoop ETL tool called "Streamsets" that streams data in real-time into Kudu and Cloudera Impala from a variety of source types.
This additional data loading and storage route now gives me metrics in actual real-time (not the one-hour delay caused by BDD's DGraph hourly batch load), and gives me the total and complete set of events and not the representative sample that Big Data Discovery normally brings in via a DGraph data processing CLI load.
Eventually the aim is to connect it all up via Kafka, but for now it's a lovely sunny day in Zurich, I'm meeting Christian Berg for a beer and lunch in 30 minutes, so I think it's time for a well-deserved afternoon-off, and then prep for my final speaking commitment before Oracle Openworld next week … Dublin on Monday to talk about Oracle Big Data.