01191nam0-22003371i-450 99000077436040332120220202112058.00-7254-0-131-000077436FED01000077436(Aleph)000077436FED0100007743620001010d1973----km-y0itay50------baitay-------001yyGeorgian architecture in Australiawith some examples of buildings of the post-georgian periodphotography by Max Dupainarchitectural commentary and notes by Norton Hermansocial histories of New South Wales and Tasmania by Marjorie Bernard and Daniel ThomasSydneyUre Smith in association with the Nationa Trust of Australiac1973148 p.in gran parte ill.24 cmOriginal hardbound ed. 1963architettura georgianaAustralia724.1921Dupain,MaxITUNINARICAUNIMARCBK990000774360403321ARCH B 1069INV.480FARBCFARBCGeorgian architecture in Australia349832UNINAING0103355nam 22006255 450 991030344230332120200705092347.09781484236529148423652110.1007/978-1-4842-3652-9(CKB)4100000007204921(MiAaPQ)EBC5614209(DE-He213)978-1-4842-3652-9(CaSebORM)9781484236529(PPN)23296727X(OCoLC)1085513933(OCoLC)on1085513933(EXLCZ)99410000000720492120181212d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPractical Apache Spark Using the Scala API /by Subhashini Chellappan, Dharanitharan Ganesan1st ed. 2018.Berkeley, CA :Apress :Imprint: Apress,2018.1 online resource (288 pages)Includes index.9781484236512 1484236513 Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. Practical Apache Spark also covers the integration of Apache Spark with Kafka with examples. You’ll follow a learn-to-do-by-yourself approach to learning – learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure. On completion, you’ll have knowledge of the functional programming aspects of Scala, and hands-on expertise in various Spark components. You’ll also become familiar with machine learning algorithms with real-time usage. You will: Discover the functional programming features of Scala Understand the complete architecture of Spark and its components Integrate Apache Spark with Hive and Kafka Use Spark SQL, DataFrames, and Datasets to process data using traditional SQL queries Work with different machine learning concepts and libraries using Spark's MLlib packages.Big dataOpen source softwareComputer programmingProgramming languages (Electronic computers)Big Datahttps://scigraph.springernature.com/ontologies/product-market-codes/I29120Open Sourcehttps://scigraph.springernature.com/ontologies/product-market-codes/I29090Programming Languages, Compilers, Interpretershttps://scigraph.springernature.com/ontologies/product-market-codes/I14037Big data.Open source software.Computer programming.Programming languages (Electronic computers)Big Data.Open Source.Programming Languages, Compilers, Interpreters.005.114Chellappan Subhashiniauthttp://id.loc.gov/vocabulary/relators/aut938702Ganesan Dharanitharanauthttp://id.loc.gov/vocabulary/relators/autUMIUMIBOOK9910303442303321Practical Apache Spark2534279UNINA