Wow – We have done it! Weeks of preparation, reading, trying out tools, and hacking went into the preparation of this training course. Even during the OTN APAC tour I took some days off and worked from my Bangkok home office to prepare for the DOAG trainings day.
At the end it was totally worth it. I had 21 top notch DBAs and developers on the attendee list, also some 10 students attended. DOAG is running a good student program. For helping out a little bit students are allowed to attend sessions and the DOAG training day. Quite often I get a lot of them. 2 years ago I was running a full day multi-cloud training and every single student including their professor decided to attend my session – although they had the choice amongst 6 different trainings. Anyway, nice to be popular with the young people. Next time I will come in sneakers and wear that Cloudera T-Shirt. Also it became a bit of a challenge for Oracle to attract students. So I am glad to help 🙂
Fabulous news was that Edelweiss took over the Oracle part, so I was lucky to talk about what I love – the open source and Cloudera part.
Edelweiss did her session via Skype. I was a bit sceptical and expecting technical problems because of the network latency but it went swimmingly. The conference room had good speakers, so I could play some music in the break and Edelweiss almost seemed to be present in the room but kind of invisible.
Well now you know it. This is what is cool.
A really great surprise was that everyone enjoyed the idea of working with VirtualBox and accepted labs that I prepared. Most people took them home to further play with the Big Data Lite instance.
At the end we covered a whole lot of content in a long day:
From Open Source / Cloudera Stack
- Hadoop, Oracle Big Data Lite, Apache Sqoop, Flume, Hive, Spark, Oracle Big Data Compute Cloud Service
- Kafka, AWS Kinesis, AWS S3, Oracle Event Hub Cloud Service, Cassandra, Big Data in the Cloud
From Oracle Big Data Products
Oracle Big Data Appliance, OBIEE, Oracle Data Integrator (ODI), Oracle Big Data Discovery