I was reading this blog.
Dennis Moore says:
However, in conversations with SAP HANA customers and experts, there are still significant issues to be overcome before this becomes a worthy competitor to Oracle – issues in cost, stability, scalability, standards support, openness to a third party ecosystem, availability of complementary solutions, and availability of reasonably priced expert resources.
I wonder if non-availability of reasonably priced expert resources could be the primary reason for all other issues(except cost) listed by Dennis Moore. I say this because the expert resources would’ve identified other issues(assuming they’re true) quickly. Quicker identification would’ve led to quicker resolution. I don’t know what the author thinks as the reasonable price. As far as I know, SAP-HANA market is not attractive for the independent, detailed, ambitious, determined, dedicated, hard-working, successful consultants with several years of SQL / RDBMS / Unix / Linux / SAP / scripting / programming / data modeling / DW / DBA experience but with little or no HANA experience.
I was reading another blog by Vijay. In this blog, he tries to define what big data is. Based on reviewing all responses of the customers, he concludes :
There is only one big V that matters to customers – BIG VALUE.
Now let us assume non-availability of reasonably priced expert resources is an issue. Let us assume SAP HANA marketing team is one of SAP customers. Let us also assume that identifying & training appropriate resources for HANA expertise would’ve provided BIG VALUE to the marketing team. What data could’ve been used by SAP to get that BIG VALUE?
- SAP’s internal database which keep track of all messages opened by the employees & the independent consultants. This database would’ve provided information on the length of SAP experience & the quality of messages. SAP could’ve identified all consultants with n+ years of experience with additional criteria (such as experience with large corporations, length of contracts, length of non-SAP IT experience, quantity & quality of messages etc) & created a target group of consultants. Gather & analyze information for the target group from other sources such as:
- The level of participation in SCN – look for both the presence or absence of participation. Absence of participation may indicate busy work schedules.
- LinkedIn profiles & the recommendations
- The length & the scope of contract work performed by the consultants
- Other activities (either presence or absence) in social media including the presentations, webinars, tweets, InnoJams, TechEd/Sapphire participations etc. Once again the absence may indicate busy work schedules
- Other soft skills such as the level of aptitude demonstrated by attending the training programs, certificate exams etc.
I don’t know if SAP used the information from the databases identified above to recruit & train resources for developing HANA expertise but the point is that BIG DATA is nothing to do with the amount of data(Volume) or other Vs as confirmed by Vijay.