The Walking Data: A Survivors Guide to Big Data

Data & Analytics

mapr-technologies
  • 1. ‘T ’ /HEwnfluuc Ib| 'I'AA SURVIVORS GUIDE TOA°B51G? I§1hTA1
  • 2. Once known as nothing more than fodder for scary campfire stories,Big Data is now a reality. ’___, .
  • 3. tMYI Y./ ;1‘1?l9 cI)."/[ /»kg ) K “ L} K;V V (,1) A it p .C V 91-) I > 5 A";ggg“ > s / , .‘ ,7/0 L/ E‘/ "3 Ry‘L Jim { > . / “ H 5 Jr/ ' ,I - ‘- y fA ‘ ~T x ” ' ‘ < S 7. ‘ )N ,( / C)s ‘ ‘ix ,r~.-/‘ » .w 7 ‘ ‘ T’ ‘ p e F /I ‘— ‘jizgi ‘* X} _A l.. a.4All we can do now is figure out how to survive as we are crushed by wave after wave of this fast populating monster!
  • 4. ,1 Traditional approaches and applications are becoming useless - resulting in lifeless ‘Zombie’ ! ‘ data piling up and devouring resources! TA!‘ 1 . . . -c ‘ . / _ 41;;c_l: l£9,1' ‘(A k‘ ) _ > (Ll!(! / - /‘» > -’l= lEL‘~, “u-1:;/ Tll ’ — I ,,,L « _ 7 L * I B 77 . . >1 3‘;k— -1 {L ‘,1 __ l r c.) v ? i) ‘J’ cjcl V ‘ r‘ L ‘ll ) V r ¥‘ g l ‘ff!‘ /CL?, A -L A I __ l V I > « ‘K !W ( 4‘ g —‘ i V . , g ‘,r;K‘ ‘‘ l) J ~l l li » '= - n ~—e ~ 4 ‘A cjc ) H‘Vp ,V lwill S !'*': !‘j: ij¢i g |1.'l~f! ;;: t>‘! n;i
  • 5. The sheer amount of data out there is enough to overwhelm a company of any size«Yr33, /r'-» « « fi '4fa‘:i _I~ : « A7, aX*9‘ ‘ in V L‘ ‘v“A,gr‘!‘*5 ; !c= W at pg-gym/_ g . {%’)£, ; ‘ Q 1 $ 1 , .. /4 v I f;V r‘ L “{2}! ” I v, f‘; ‘& ‘ ,1 i :5” $5 «éx ‘ . ‘l l,’ 9 ‘ ( .T 11 J 21» ’ Ly‘ *4‘ 9 t ‘Ag’ l __ U ‘and without the proper Big Data solution you will be unable to drive intelligent business actions.
  • 6. Big Data is coming from every direction Customer media transactions fIl€5And it's getting harder to manage and leverage (But don't fear. ..).
  • 7. With MapR you can master Big Data with ease.Identify,process,and analyze massive amounts of data in the blink of an eye (yes,in real time).
  • 8. With MapR advanced backup and recovery,even when your systems are dead,your data lives!
  • 9. Cisco Teradata SAP Tableau H PAmazon Voltage Dataguise Protegrity MicrostrategyIntegrate seamlessly with your existing systems and security using standard interfaces (not ‘Frankenstein’ deployments).
  • 10. » g B‘A‘:- ‘S’ 1 .z r‘,ll*¢ Jan I} ‘T 4’ ~10: ‘, _ _ I . ‘ ‘ 0.1.01 f* T l _ 1°1[‘>‘ 3 ‘ . T T L ‘eel, ‘ l .T ,' V A‘ z z o 1,! ‘ 9 ‘ l 4 0.10 V ( J l‘ l *’v l ? Apache Drills self-service data exploration allows you to access 8. analyze the data you need,fast.
  • 11. MAKE BIG DATA WORK FOR YOU Hadoop Map R. 9’ 4%: /V easss ‘avbrought to life by ,. / W* / “W* '"/ W ETETET www. mapr. com
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    Description
    The sheer amount of data out there is enough to turn any employee into a big data zombie. Don’t let the prospect of big data keep you up at night—MapR makes it easy for you to master big data with ease:

    - Identify, process and analyze massive amounts of data in the blink of an eye (yes, in real time)

    - With MapR advanced backup and recovery, even when your systems are dead, your data lives

    - Integrate with your existing systems and security using standard interfaces—not Frankenstein deployments

    - Access and analyze the data you need, fast

    Want to learn more? Find out why MapR is the only distribution that is built from the ground up for business-critical production applications. Or dive right in and download the MapR Sandbox for Hadoop, a fully functional Hadoop cluster running in a virtual machine.

    Download the Hadoop Buyers Guide: https://www.mapr.com/hadoop-buyers-guide

    MapR Sandbox for Hadoop: https://www.mapr.com/products/mapr-sandbox-hadoop
    Text
    • 1. ‘T ’ /HEwnfluuc Ib| 'I'AA SURVIVORS GUIDE TOA°B51G? I§1hTA1
  • 2. Once known as nothing more than fodder for scary campfire stories,Big Data is now a reality. ’___, .
  • 3. tMYI Y./ ;1‘1?l9 cI)."/[ /»kg ) K “ L} K;V V (,1) A it p .C V 91-) I > 5 A";ggg“ > s / , .‘ ,7/0 L/ E‘/ "3 Ry‘L Jim { > . / “ H 5 Jr/ ' ,I - ‘- y fA ‘ ~T x ” ' ‘ < S 7. ‘ )N ,( / C)s ‘ ‘ix ,r~.-/‘ » .w 7 ‘ ‘ T’ ‘ p e F /I ‘— ‘jizgi ‘* X} _A l.. a.4All we can do now is figure out how to survive as we are crushed by wave after wave of this fast populating monster!
  • 4. ,1 Traditional approaches and applications are becoming useless - resulting in lifeless ‘Zombie’ ! ‘ data piling up and devouring resources! TA!‘ 1 . . . -c ‘ . / _ 41;;c_l: l£9,1' ‘(A k‘ ) _ > (Ll!(! / - /‘» > -’l= lEL‘~, “u-1:;/ Tll ’ — I ,,,L « _ 7 L * I B 77 . . >1 3‘;k— -1 {L ‘,1 __ l r c.) v ? i) ‘J’ cjcl V ‘ r‘ L ‘ll ) V r ¥‘ g l ‘ff!‘ /CL?, A -L A I __ l V I > « ‘K !W ( 4‘ g —‘ i V . , g ‘,r;K‘ ‘‘ l) J ~l l li » '= - n ~—e ~ 4 ‘A cjc ) H‘Vp ,V lwill S !'*': !‘j: ij¢i g |1.'l~f! ;;: t>‘! n;i
  • 5. The sheer amount of data out there is enough to overwhelm a company of any size«Yr33, /r'-» « « fi '4fa‘:i _I~ : « A7, aX*9‘ ‘ in V L‘ ‘v“A,gr‘!‘*5 ; !c= W at pg-gym/_ g . {%’)£, ; ‘ Q 1 $ 1 , .. /4 v I f;V r‘ L “{2}! ” I v, f‘; ‘& ‘ ,1 i :5” $5 «éx ‘ . ‘l l,’ 9 ‘ ( .T 11 J 21» ’ Ly‘ *4‘ 9 t ‘Ag’ l __ U ‘and without the proper Big Data solution you will be unable to drive intelligent business actions.
  • 6. Big Data is coming from every direction Customer media transactions fIl€5And it's getting harder to manage and leverage (But don't fear. ..).
  • 7. With MapR you can master Big Data with ease.Identify,process,and analyze massive amounts of data in the blink of an eye (yes,in real time).
  • 8. With MapR advanced backup and recovery,even when your systems are dead,your data lives!
  • 9. Cisco Teradata SAP Tableau H PAmazon Voltage Dataguise Protegrity MicrostrategyIntegrate seamlessly with your existing systems and security using standard interfaces (not ‘Frankenstein’ deployments).
  • 10. » g B‘A‘:- ‘S’ 1 .z r‘,ll*¢ Jan I} ‘T 4’ ~10: ‘, _ _ I . ‘ ‘ 0.1.01 f* T l _ 1°1[‘>‘ 3 ‘ . T T L ‘eel, ‘ l .T ,' V A‘ z z o 1,! ‘ 9 ‘ l 4 0.10 V ( J l‘ l *’v l ? Apache Drills self-service data exploration allows you to access 8. analyze the data you need,fast.
  • 11. MAKE BIG DATA WORK FOR YOU Hadoop Map R. 9’ 4%: /V easss ‘avbrought to life by ,. / W* / “W* '"/ W ETETET www. mapr. com
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