| 000 | 06517nam a2201285Ia 4500 | ||
|---|---|---|---|
| 000 | 04884cam a2200529 i 4500 | ||
| 001 | 81105 | ||
| 003 | 0 | ||
| 005 | 20250920165132.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 170531s2017 njua ob 001 0 eng | ||
| 010 |
_z _z _o _a2017026344 _b |
||
| 015 |
_22 _a |
||
| 016 |
_2 _2 _a _z |
||
| 020 |
_e _e _a9781119424215 _b _z _c _qelectronic book _x |
||
| 022 |
_y _y _l _a2 |
||
| 024 |
_2 _2 _d _c _a _q |
||
| 028 |
_a _a _b |
||
| 029 |
_a _a _b |
||
| 032 |
_a _a _b |
||
| 035 |
_a _a(OCoLC)988749084;(OCoLC)ocn988749084 _b _z _c _q |
||
| 037 |
_n _n _c _a _b |
||
| 040 |
_e _erda _aDLC _dOCLCO;DG1;N$T;YDX;IDEBK;EBLCP;YDX _beng _cDLC |
||
| 041 |
_e _e _a _b _g _h _r |
||
| 042 | _apcc | ||
| 043 |
_a _a _b |
||
| 045 |
_b _b _a |
||
| 049 | _aMAIN | ||
| 050 |
_a _aHD38.7 _d _b.S535 20172 _c0 |
||
| 051 |
_c _c _a _b |
||
| 055 |
_a _a _b |
||
| 060 |
_a _a _b |
||
| 070 |
_a _a _b |
||
| 072 |
_2 _2bisacsh;bisacsh;bisacsh;bisacsh _d _aBUS;BUS;BUS;BUS _x082000;041000;042000;085000 |
||
| 082 |
_a _a658.4/033 _d _b223 _c |
||
| 084 |
_2 _2 _a |
||
| 086 |
_2 _2 _a |
||
| 090 |
_a _a _m _b _q |
||
| 092 |
_f _f _a _b |
||
| 096 |
_a _a _b |
||
| 097 |
_a _a _b |
||
| 100 |
_e _eauthor. _aSimon, Phil, _d _b4 _u _c0 _q16 |
||
| 110 |
_e _e _a _d _b _n _c _k |
||
| 111 |
_a _a _d _b _n _c |
||
| 130 |
_s _s _a _p _f _l _k |
||
| 210 |
_a _a _b |
||
| 222 |
_a _a _b |
||
| 240 |
_s _s _a _m _g _n _f _l _o _p _k |
||
| 245 | 0 |
_a _aAnalytics : _d _bthe agile way / _n _cPhil Simon. _h6 _p |
|
| 246 |
_a _a _b _n _i _f6 _p |
||
| 249 |
_i _i _a |
||
| 250 |
_6 _6 _a _b |
||
| 260 |
_e _e _a _b _f _c _g |
||
| 264 |
_3 _3 _aHoboken, New Jersey : _d _bJohn Wiley & Sons, Inc., _c[2017]46 |
||
| 300 |
_e _e _c _a1 online resource (xxix, 268 pages). _b |
||
| 310 |
_a _a _b |
||
| 321 |
_a _a _b |
||
| 336 |
_btxt _atext _2rdacontent |
||
| 337 |
_3 _30 _bc _acomputer _2rdamedia |
||
| 338 |
_3 _30 _bcr _aonline resource _2rdacarrier |
||
| 340 |
_2 _20 _g _n |
||
| 344 |
_2 _2 _a0 _b |
||
| 347 |
_2 _2 _a0 |
||
| 362 |
_a _a _b |
||
| 385 |
_m _m _a2 |
||
| 410 |
_t _t _b _a _v |
||
| 440 |
_p _p _a _x _v |
||
| 490 |
_a _aWiley & SAS Business Series _x _v |
||
| 500 |
_a _a _d _b _c56 |
||
| 504 |
_a _aIncludes bibliographical references and index. _x |
||
| 505 |
_a _aPraise for Analytics: The Agile Way; Analytics; Wiley & SAS Business Series; Other Books by Phil Simon; Contents; Preface: The Power of Dynamic Data; Figures and Tables; Introduction: It Didn't Used to Be This Way; A Little History Lesson; Analytics and the Need for Speed; How Fast Is Fast Enough?; Automation: Still the Exception That Proves the Rule; Book Scope, Approach, and Style; Breadth over Depth; Methodology: Guidelines > Rules; Technical Sophistication; Vendor Agnosticism; Intended Audience; Plan of Attack; Next; Notes; Part ONE Background and Trends;Chapter 1: Signs of the Times: Why Data and Analytics Are Dominating Our WorldThe Moneyball Effect; Digitization and the Great Unbundling; Amazon Web Services and Cloud Computing; Not Your Father's Data Storage; How? Hadoop and the Growth of NoSQL; How Much? Kryder's Law; Moore's Law; The Smartphone Revolution; The Democratization of Data; The Primacy of Privacy; The Internet of Things; The Rise of the Data-Savvy Employee; The Burgeoning Importance of Data Analytics; A Watershed Moment; Common Ground; The Data Business Is Alive and Well and Flourishing; Not Just the Big Five;Data-Related ChallengesCompanies Left Behind; The Growth of Analytics Programs; Next; Notes; Chapter 2: The Fundamentals of Contemporary Data: A Primer on What It Is, Why It Matters, and How to Get It; Types of Data; Structured; Semistructured; Unstructured; Metadata; Getting the Data; Generating Data; Buying Data; Data in Motion; Next; Notes; Chapter 3: The Fundamentals of Analytics: Peeling Back the Onion; Defining Analytics; Reporting ` Analytics; Types of Analytics; Descriptive Analytics; Predictive Analytics; Prescriptive Analytics; Streaming Data Revisited; A Final Word on Analytics;NextNotes; Part TWO Agile Methods and Analytics; Chapter 4: A Better Way to Work: The Benefits and Core Values of Agile Development; The Case against Traditional Analytics Projects; Understandable but Pernicious; A Different Mind-Set at Netflix; Proving the Superiority of Agile Methods; The Case for Guidelines over Rules; Scarcity and Trade-Offs on Agile Projects; The Specific Tenets of Agile Analytics; Next; Notes; Chapter 5: Introducing Scrum: Looking at One of Today's Most Popular Agile Methods; A Very Brief History; Scrum Teams; Product Owner; Scrum Master; Team Member; User Stories;Epics: Too BroadToo Narrow/Detailed; Just Right; The Spike: A Special User Story; Backlogs; Sprints and Meetings; Sprint Planning; Daily Stand-Up; Story Time; Demo; Sprint Retrospective; Releases; Estimation Techniques; On Lawns and Relative Estimates; Fibonacci Numbers; T-Shirt Sizes; When Teams Disagree; Other Scrum Artifacts, Tools, and Concepts; Velocities; Burn-Down Charts; Definition of Done and Acceptance Criteria; Kanban Boards; Next; Chapter 6: A Framework for Agile Analytics: A Simple Model for Gathering Insights; Perform Business Discovery; Perform Data Discovery; Prepare the Data _b _t _g _r |
||
| 506 |
_a _a5 |
||
| 510 |
_a _a _x |
||
| 520 |
_b _b _c _a _u |
||
| 521 |
_a _a _b |
||
| 533 |
_e _e _a _d _b _n _c |
||
| 540 |
_c _c _a5 |
||
| 542 |
_g _g _f |
||
| 546 |
_a _a _b |
||
| 583 |
_5 _5 _k _c _a _b |
||
| 588 | _aDescription based on online resource; title from digital title page (viewed on July 26, 2017). | ||
| 590 |
_a _a _b |
||
| 600 |
_b _b _v _t _c2 _q _a _x0 _z _d _y |
||
| 610 |
_b _b _v _t2 _x _a _k0 _p _z _d6 _y |
||
| 611 |
_a _a _d _n2 _c0 _v |
||
| 630 |
_x _x _a _d _p20 _v |
||
| 648 |
_2 _2 _a |
||
| 650 |
_x _xData processing. _aBusiness intelligence;Decision making. _d _b _z _y20 _v |
||
| 651 |
_x _x _a _y20 _v _z |
||
| 655 |
_0 _0 _aElectronic books. _y2 _z |
||
| 700 |
_i _i _t _c _b _s1 _q _f _k40 _p _d _e _a _l _n6 |
||
| 710 |
_b _b _t _c _e _f _k40 _p _d5 _l _n6 _a |
||
| 711 |
_a _a _d _b _n _t _c |
||
| 730 |
_s _s _a _d _n _p _f _l _k |
||
| 740 |
_e _e _a _d _b _n _c6 |
||
| 753 |
_c _c _a |
||
| 767 |
_t _t _w |
||
| 770 |
_t _t _w _x |
||
| 773 |
_a _a _d _g _m _t _b _v _i _p |
||
| 775 |
_t _t _w _x |
||
| 776 |
_s _s _aSimon, Phil, author. _dHoboken, New Jersey : John Wiley & Sons, 2017 _b _z9781119423478 _iPrint version: _tAnalytics _x _h _c _w(DLC) 2017020140 |
||
| 780 |
_x _x _a _g _t _w |
||
| 785 |
_t _t _w _a _x |
||
| 787 |
_x _x _d _g _i _t _w |
||
| 800 |
_a _a _d _l _f _t0 _q _v |
||
| 810 |
_a _a _b _f _t _q _v |
||
| 830 |
_x _x _aWiley and SAS business series. _p _n _l0 _v |
||
| 942 |
_a _alcc _cBK |
||
| 999 |
_c14937 _d14937 |
||