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020 _a9783030046033
_9978-3-030-04603-3
024 7 _a10.1007/978-3-030-04603-3
_2doi
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aCOM021000
_2bisacsh
072 7 _aUN
_2thema
082 0 4 _a005.74
_223
100 1 _aWiktorski, Tomasz.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aData-intensive Systems
_h[electronic resource] :
_bPrinciples and Fundamentals using Hadoop and Spark /
_cby Tomasz Wiktorski.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXII, 97 p. 27 illus., 1 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Advanced Information and Knowledge Processing,
_x2524-5201
505 0 _aIntroduction -- Hadoop 101 and reference scenario -- Functional abstraction -- Introduction to MapReduce -- Hadoop Architecture -- MapReduce algorithms and patterns -- NOSQL Databases -- Spark.
520 _aData-intensive systems are a technological building block supporting Big Data and Data Science applications.This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more advanced technical reference literature that dominates the current landscape. The material in the book is structured following a problem-based approach. This means that the content in the chapters is focused on developing solutions to simplified, but still realistic problems using data-intensive technologies and approaches. The reader follows one reference scenario through the whole book, that uses an open Apache dataset. The origins of this volume are in lectures from a master’s course in Data-intensive Systems, given at the University of Stavanger. Some chapters were also a base for guest lectures at Purdue University and Lodz University of Technology.
650 0 _aDatabase management.
650 0 _aBig data.
650 0 _aQuantitative research.
650 1 4 _aDatabase Management.
650 2 4 _aBig Data.
650 2 4 _aData Analysis and Big Data.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030046026
776 0 8 _iPrinted edition:
_z9783030046040
830 0 _aSpringerBriefs in Advanced Information and Knowledge Processing,
_x2524-5201
856 4 0 _uhttps://doi.org/10.1007/978-3-030-04603-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c174971
_d174971