Q9: Can you really stand up analytics #datalake solution in one week? Explain this please http://www.via-cc.at...
Dean of Big Data
Wow, I really don't think so. What are you standing it up to do? What's the targeted use case? How do you get Business buy-in? Need to answer those questions first
John Furrier
This is what EMC was promoting in the release today?
Dean of Big Data
I mean, you can stand up one in a week, but it takes much longer to make sure that you're focused on the 4 Ms of Big Data..."Make Me More Money"
priya joseph
A week is too long for the money-spent on my source of truth aka data lake
Rodrigo Gazzaneo
@schmarzo narrow down the case to standing up the infrastructure and it may be possible. See the reference below: http://reflectionsbl...
Jean-Luc Chatelain
So the answer is yes, in fact the setup of a lack is a day BUT you need the data source connectors and that can take while. Just a data point but we see about 6 weeks from go actionable outcomes when we take the bit size approach.
Dean of Big Data
Yes, we can stand up a data lake in a week. We've pre-engineered all the different data lake components. Business value then comes next and times a bit more time
Jay Livens
@schmarzo I love the 4Ms! Awesome. That is the real challenge with all of this.
Jean-Luc Chatelain
BTW is the time to result that come as opposed to time to setup the lake. It is about catch fishes not just putting water in the pound!
John Furrier
Getting some analytics up would be easy if access to the data is available then running some baseline analytics is possible - but it would take a big more to really jam on something.
Dave Vellante
standing up a data lake in-and-of-itself isn't of much value unless time-to-insights is part of that equation
Jay Livens
@schmarzo Yes, we are back to analytics. We can stand it up, but how do we generate value?
Ashish Sahni
@schmarzo this was the slide that I removed from the deck...
Dean of Big Data
@InformationCTO Agreed. We can stand one up quickly, but then you need to focus on what do you want to accomplish with the data lake. That's where we focus in EMC Global Services
Dean of Big Data
Many of our clients start with a Vision Workshop to help them identify where and how to start their big data journey from a business transformation perspective; gives us the focus and priority to ensure success
Dean of Big Data
@JLivens And it's the most fun! The 4ms where capture the imagination of our clients and helps them focus on driving success. The technology follows after that
Jay Livens
@schmarzo Makes sense, but doesn't IT need to hire people with new skillset to take advantage? (Speaking from a geek with an undergrad degree in econometrics.)
Jay Livens
The other thing is that Big Data models cannot be static and so will likely change over time hence the need for modelling expertise....
Dean of Big Data
@JLivens ...or you create teams that couple the data scientist with the Business SME. That's been working great for us!
Rodrigo Gazzaneo
@JLivens I love the Undecided / Motivated / Ready curve to illustrate the maturity level in development
Dean of Big Data
@dvellante And creating value out of the data lake is really the most fun; it's why my job is so enjoyable and fascinating!
Jay Livens
@schmarzo Love that idea - coupling business and data scientist knowledge is the right strategy.
Jean-Luc Chatelain
Ditto for us at Accenture, start with workshop, understand business goals, current state and execution step to journey
Dean of Big Data
@vGazza Agree! The Undecided/Motivated/Ready maturity is a great way for organizations to determine what they should do next
Ted Bardasz
It is all about time to value, and the 4 M's, but what we've seen in use is that the time to value is hampered by the IT activities around initially creating the environment and then support mods against hypothesis analysis.
Ted Bardasz
That's the value of the FBDL is to leverage Federation Assets to the path to the 4Ms is paved.