Top 5 Takeaways from Dreamforce15
Wow, every year at Dreamforce I think “how are they going to top this?” and every year they do; this year’s Dreamforce was no exception. There was an incredible energy in San Francisco as so many ideas and solutions are being built leveraging Salesforce technologies. It would be impossible for one person to cover everything that happened so I’ve enlisted the help of my colleagues to put together our top 10 observations from the show – what Salesforce is doing, what developers are doing and what customers are looking for. There is so much here we’ve just picked the top 5 as we saw it.
- Health Cloud is an ambitious task bringing care coordination with healthcare provider specific roles, goals, tasks, timelines and surveys out of the box. The changes in data model and inclusion of an HL7 will favorably impact integration. Tied nicely with Marc Benioff’s keynote and focus on Precision Medicine. One of the company’s two large bets (other being Wealth Cloud)
- Lightning Framework: Shared by all product keynotes and what’s going to be an accelerator: – Lightning UI for the Sales/Service console -Lightning components for the partners/ISV’s to build upon and put on Appexchange. Based on open source Aura framework that allows one to build apps independent of data in Salesforce – Drag and Drop Lightning components on the Community OOTB UI Templates. – Lightning Process builder as an enhancement compared to Workflow rules.
- Thunder uses open source ecosystem : Spark, Storm, Kafka, Cassandra and Heroku. To quote a ZDNet piece that summarizes it well:
a. Storm: an open source distributed real-time computation system to process streams of data and initially contributed by Twitter.
b. Cassandra: a highly scalable open source database deployed in enterprises such as Apple, Instagram and Netflix. Cassandra is known to outperform NoSQL
c. Heroku: Salesforce’s Paas
d. Kafka: an Apache project and a messaging broker that can handle megabytes of reads and writes per second. It came out of LinkedIn.
e. Spark: general engine for large-scale data processing designed to be faster than Hadoop and MapReduce.
- App Cloud which includes the Force.com platform, Lightning components, and IOT cloud ( Thunder) along with cool Heroku connectors
- Microsoft Innovation Partnership. This is very interesting in regards to (Azure, IoT, SFDC Integrations to Office365 & Skype, Salesforce1 for Windows 10 Mobile) and Microsoft’s efforts to incorporate Cortana and Power BI dashboards into Salesforce.
To conclude, at the risk of being a bit self-promotional, being a key development and SI partner has its benefits. Getting mentioned in the Health Cloud keynote 26.20 (Josh Newman) and Health Cloud product presentation (Rita Sharma) as one of the key partners behind the initial development and the shared field driven knowledge that informed Health Cloud, brought us substantial attention as one would expect. That’s nice in and of itself, but what it really means is it exposes us to so many more people that we can share ideas with and learn from. That makes Dreamforce really worthwhile!
Image Credits: silicon.fr