Recap of Tweetchat: "Mobile Data: Taking Your Big Data On the Road" - Part 2
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Another great tweetchat on the hashtag #bigdatamgmt! Here are the results:
625 tweets, 157 users, 153,849 reach, 1,849,624 impressions
This is the recap of the Mobile Data tweetchat for questions 4 and 5. See also Recap of Tweetchat: "Mobile Data: Taking Your Big Data On the Road" - Part 1
Q4 Does mobile big data require different retention policies?
BigDataAlex A4:Retention for mobility is a key factor: do we really need to remember every location we have been - It links back to privacy
craigmullins A4: Data is retained for internal + external reasons: internal because it is needed for biz – external because laws demand it.
craigmullins A4: You may choose to retain more data for mobile bigdatamgmt but be careful because data once retained is discoverable during court trials
BigDataAlex A4: The question is who is doing the retaining of the data....
jeffreyfkelly A4 mobile data growing exponentially, so how much is retained and for how long gets tricky
craigmullins A4 Bigdata does not necessarily change retention reqmts but it complicates the issue
BigDataAlex A4: Mobile data is the new oil field.
Natasha_D_G Useless unless we mine & leverage it correctly RT @BigDataAlex: A4: Mobile data is the new oil field.
cristianmolaro A4: maybe not: retention should be a business variable not a access device matter
craigmullins A4: There are over 150 different regulations (at local, state, national, and international levels) that impact data retention.
furrier A4: yes it does - to save or not to save that is the question legal issue
IBMbigdata Whether tis nobler to save or not... RT @furrier: A4: yes it does - to save or not to save that is the question #legalissue
cristianmolaro A4: is not the amount of data or the older that it is that matters the most, but what you can get from it... insight!
craigmullins A4 #bigdata can be more costly to retain for long periods simply due to its massive volume
Dmattcarter can hadoop help? RT @craigmullins: A4 #bigdata can be more costly to retain for long periods simply due to its massive volume
BigDataAlex A4: Some folks save it all - some say save what you end - Big Data is about figuring out the difference.
Empirix A4 Different groups within an org might need the data for longer, to make informed decisions based on cust history
jameskobielus A4: Mobile doesn't impact retention policies at server--but should @ client. Keep sensitive info on device limited
jeffreyfkelly #BigData Shakespeare RT @furrier: A4: yes it does - #mobile data: to save or not to save that is the question
IBMbigdata RT @Empirix: A5 Your biz model & regs define retention policies- becomes more of a ? of do you have the right tech to hold it
TheSocialPitt Quoting Shakespeare on #bigdatamgmt chat! Well done!
cristianmolaro A4: there is a trend to increase data retention
Empirix @cristianmolaro Also need the right tools, questions, and people to get you there
furrier As navigation promotion here are all the videos from IOD http
zacharyjeans Cold storage data solutions like @ironmountain will have more and more play in big data management
AllanKoivo A4: Key is HOW the data is retained. Policies always need to be dynamic to reflect new technologies
craigmullins @Dmattcarter Not sure how/if Hadoop would decrease storage costs?
cristianmolaro A4: not all bigdata have to be saved for later... think about live digital video recording... it leaves just for a short while
motohero Drill ready? Mine is! "@BigDataAlex: A4: Mobile data is the new oil field.
craigmullins A4 Over large spans of time technology becomes the problem, not the solution, for data retention
Natasha_D_G How so? RT @craigmullins: A4 Over large spans of time technology becomes the problem, not the solution, for data retention
craigmullins A4 Consider retaining data back in the 1960s. Could've been on punched cards. Can you even read them today?
BigDataAlex A4:is there enough power to run or water to cool the data we retain?
jeffreyfkelly A4 yes @cristianmolaro, w #Hadoop, storage constraints lifted - but retention policy still an issue and, while cheap, not FREE
cristianmolaro and what about being able to read today's bigdata in 20 years from now?
Betharonoff @AllanKoivo They've started testing digital data stored in DNA as coding system
motohero @craigmullins @Dmattcarter IBM is the oldest masters of storage, maybe they can provide insight about what they are creating
craigmullins A4 The longer you retain data the more likely the tech used to retain it has become obsolete
furrier A4: this is a good video to watch on compliance data issues http
jameskobielus A4 Mobile #bigdata makes imperative 2 have enterprise rights mgmt policies 2 prevent multi-device over-retain/leak
Q5 Which type of #bigdata platform (#Hadoop, Streams, etc.) is best for #mobile clients?
Empirix A5 Your business model & regs define your retention policies - it becomes more of a question of do you have the right tech to hold it
BigDataAlex A5 Streams!
furrier A5: this has too many dimensions: all areas are affected - no one technology wins; ease of ingest & extraction are key to this
IBMbigdata Should have known Alex would vote for InfoSphere Streams
cristianmolaro A5: any platform that would allow users to get information from bigdata
jeffreyfkelly A5 real-time key to mobile BigData - must get insights to mobile workers at the right time to take action
BigDataAlex A5: Big Telcos are trying to figure how to parse 700,000 calls per second and deal with dropped call management and service.
craigmullins A5: I’d look for customizable reports, dashboards, + graphs that users can adapt to their mobile preferences + needs
craigmullins A5: I think the presentation + interface on the mobile device is more important than Hadoop, etc.
BigDataAlex A5: Streaming analytics allows customers to keep up with the volume and interoperate with Hadoop for non-real-time analytics.
jameskobielus A5: No particular back-end bigdata platform preferred 4 mobile. Need front-end mobile access infrastructure agnostic to all
furrier @craigmullins I totally agree on the easy of use I would add reduce the steps to get extraction + insights
craigmullins A5: Maybe innovative interaction support (gesture, voice, etc.) too
jeffreyfkelly A5 definitely streaming, CEP-style tech to allow automated actions - must take action while customer still engaged
cristianmolaro A5: sometimes bigdata users are like people having a solution looking for a problem to solve...
AllanKoivo A5: not all mobile clients are the same- it depends on the objective of the client. There is no one size fits all solution
Natasha_D_G Usability, scalability all key RT @furrier: @craigmullins ease of use I would add reduce the steps to get extraction + insights
motohero A5 nosql on the bottom, webtech (pig, R) on top
furrier A5: many uses cases hadoop is great but what does real time mean?
Empirix A5 Predictive Analytics capabilities are important for keeping a competitive edge
craigmullins Like most new tech, marketers co-opt it! MT @cristianmolaro: A5: Bigdata users are ... looking for a problem to solve...
cristianmolaro A5: the one able to provide fast access to organization's insight with easy of operation...
BigDataAlex A5: Streams means real-time which means millions in the Telco space, esp., in Eurozone.
mjcavaretta BigData opportunities across the entire space of high-volume, high-value data generation.
Empirix @cristianmolaro Yes - you need the right questions first or there's no direction or focus
Natasha_D_G Should start w/ biz prob RT @cristianmolaro: A5: sometimes bigdata users =people having solution looking 4 problem to solve
IBMbigdata Is "real time" changing? RT @furrier: A5: many uses cases hadoop is great but what does real time mean?
furrier @motohero not all nosql but mostly yes SQL is a easy way to extract ontop of semi structured data- agree on above db layer
jeffreyfkelly how about in-time? RT @furrier: A5: many uses cases hadoop is great but what does real time mean?
cristianmolaro A5: Bigdata is everywhere... in any organization... you just have to discover how to leverage it
BigDataAlex Real-time at network line speed - 1, 10, and 100 GigE speeds - analytics in process, in flow - compute memory.
jameskobielus A5: In-memory #bigdata clients/servers with back-end streaming best for real-time mobile
motohero @furrier real-time is the here and now model of customer(for exmpl) that a decision can be derived from
Empirix Need the right tools to extract meaning @cristianmolaro: A5: bigdata is everywhere in an org, have to discover how to leverage it
AllanKoivo & other industries as well RT @BigDataAlex: A5: #Streams = real-time which means millions in the Telco space
motohero @furrier my vision is that SQL could be the cheese in the bigdatamgmt sandwich - that middle layer that can be exploited also
jameskobielus A5: Need lower-latency in-motion bigdata platforms closer to mobile client, batch & "data-at-rest" further
BigDataAlex So many problems require real-time analytics as an initial distillation process or layer.
furrier @motohero awesome! except some are making a "wish sandwich" - customer wish they had some "meat" :-)
jeffreyfkelly suddenly I'm hungry for lunch
TheSocialPitt Super-size me RT @motohero: @furrier my vision is SQL cld be cheese in bigdatamgmt sandwich - that middle layer that can be exploited also
jameskobielus A5: The mobile bigdata environment should have SQL-