000 01903cam a22003257i 4500
999 _c382466
_d382466
001 19240993
003 APU
005 20190715073551.0
008 190510t20162016nyua 001 0 eng d
010 _a 2016951940
020 _a9781484202722 (pbk.)
020 _a1484202724 (pbk.)
040 _aBTCTA
_beng
_cAPU
_dWAN
042 _alccopycat
050 0 0 _aQA76.9.D37
_bS53 2016
082 0 0 _a005.74/5
_223
100 1 _aShaw, Scott.
_943062
245 1 0 _aPractical Hive :
_ba guide to Hadoop's data warehouse system /
_cScott Shaw, Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard.
260 _a[Berkeley, CA] :
_bApress
_c[2016]
300 _axxi, 265 p. :
_bill. ;
_c26 cm
500 _aIncludes index.
505 0 _aSetting the stage for Hive: Hadoop -- Introducing Hive -- Hive architecture -- Hive tables DDL -- Data manipulation language (DML) -- Loading data into Hive -- Querying semi-structured data -- Hive analytics -- Performance tuning : Hive -- Hive security -- The future of Hive.
520 _a"Authors take you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stored across your Hadoop environment. From deploying Hive on your hardware or virtual machine and setting up its initial configuration to learning how Hive interacts with Hadoop, MapReduce, and other big data technologies, Practical Hive gives you a detailed treatment of the software. In addition, the latter portion of the book includes detailed, real-world case studies grounded in everyday Hive deployments that will show you how others have coaxed the most out of their Hive data warehouses."--
630 0 0 _aApache Hadoop.
_943063
650 0 _aData warehousing.
_943064
700 1 _aVermeulen, Andreas François.
_943065
700 1 _aGupta, Ankur.
_943066
700 1 _aKjerrumgaard, David.
_943067
942 _2lcc
_cBook