000 03272cam a22005175i 4500
001 22527118
003 OSt
005 20220512013545.0
008 220427t20202020caua b 001 0 eng d
010 _a 2021443712
015 _aGBC0E8146
_2bnb
016 7 _a019959558
_2Uk
020 _a9781492075257
_q(paperback)
020 _a1492075256
_q(paperback)
035 _a(OCoLC)on1155329615
040 _aYDX
_beng
_cYDX
_erda
_dBDX
_dUKMGB
_dOCLCO
_dCDX
_dOCLCF
_dFIE
_dJTB
_dOKX
_dOCLCO
_dOCLCQ
_dOCLCO
_dDLC
042 _alccopycat
082 0 4 _a006.3/12
_223
082 0 4 _a005.74 UTT
_223
_bUTT
092 _223
100 1 _aUttamchandani, Sandeep,
_d1979-
_eauthor.
245 1 4 _aThe self-service data roadmap :
_bdemocratize data and reduce time to insight /
_cDr. Sandeep Uttamchandani.
250 _aFirst edition.
264 1 _aSebastopol, CA :
_bO'Reilly,
_c2020.
300 _axvii, 264 pages :
_billustrations ;
_c24 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
500 _aIncludes index.
504 _aIncludes bibliographical references and index.
505 0 _aPart I. Self-service data delivery. Metadata catalog service ; Search service ; Feature story service ; Data movement service ; Clickstream tracking service -- Part II. Self-service data prep. Data lake management service ; Data wrangling service ; Data rights governance service -Part III. Self-service build. Data virtualization service ; Data transformations service ; Model training service ; Continuous integration service ; A/B testing service -- Part IV. Self-service operationalize. Query optimization service ; Pipeline orchestration service ; Model deploy service ; Quality observability service ; Cost management service.
520 _a"Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can't scale data science teams fast enough to keep up with the growing amounts of data to transform. What's the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work."--Publisher's description
650 0 _aDatabase management
_xComputer programs.
650 0 _aBusiness intelligence
_xData processing.
650 0 _aData mining.
650 2 _aDatabase Management Systems
650 2 _aData Mining
650 6 _aBases de données
_xGestion
_xLogiciels.
650 6 _aExploration de données (Informatique)
650 7 _aData mining.
_2fast
_0(OCoLC)fst00887946
650 7 _aDatabase management
_xComputer programs.
_2fast
_0(OCoLC)fst00888040
887 _2CamTech Library
906 _a0
_bibc
_ccopycat
_d2
_encip
_f20
_gy-gencatlg
942 _2ddc
_cBK
_n0
999 _c182
_d182