LEADER 01656nam 2200445 450 001 9910555085003321 005 20190320174106.0 010 $a0-89118-324-8 035 $a(CKB)3810000000041688 035 $a(WaSeSS)IndRDA00111546 035 $a(EXLCZ)993810000000041688 100 $a20190320d1995 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAgricultural utilization of urban and industrial by-products /$feditors, D. L. Karlen, R. J. Wright, and W. O. Kemper ; sponsored by Soil Science Society of America and American Society of Agronomy 210 1$aMadison, Wisconsin :$cAmerican Society of Agronomy :$cCrop Science Society of America :$cSoil Science Society of America,$d1995. 215 $a1 online resource (xvii, 295 pages) 225 1 $aASA Special Publication ;$vNumber 58 311 $a0-89118-123-7 410 0$aASA special publication ;$vNumber 58. 606 $aSewage sludge as fertilizer 606 $aFactory and trade waste as fertilizer 608 $aElectronic books. 615 0$aSewage sludge as fertilizer. 615 0$aFactory and trade waste as fertilizer. 676 $a631.869 702 $aKarlen$b D. L$g(Douglas L.), 702 $aWright$b R. J. 702 $aKemper$b William Doral$f1928- 712 02$aSoil Science Society of America, 712 02$aAmerican Society of Agronomy, 801 0$bWaSeSS 801 1$bWaSeSS 906 $aBOOK 912 $a9910555085003321 996 $aAgricultural utilization of urban and industrial by-products$92818549 997 $aUNINA LEADER 04043nam 22006255 450 001 9910744504803321 005 20251009083544.0 010 $a9783031279089 010 $a3031279085 024 7 $a10.1007/978-3-031-27908-9 035 $a(CKB)27298636200041 035 $a(DE-He213)978-3-031-27908-9 035 $a(PPN)272271128 035 $a(MiAaPQ)EBC30620508 035 $a(MiAaPQ)EBC30612988 035 $a(Au-PeEL)EBL30612988 035 $a(Au-PeEL)EBL30620508 035 $a(OCoLC)1389559339 035 $a(EXLCZ)9927298636200041 100 $a20230629d2023 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSQL and NoSQL Databases $eModeling, Languages, Security and Architectures for Big Data Management /$fby Michael Kaufmann, Andreas Meier 205 $a2nd ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (XIV, 254 p. 110 illus., 109 illus. in color.) 311 08$a9783031279072 330 $aThis textbook offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques and examine upcoming innovations. In the first five chapters, the authors analyze in detail the management, modeling, languages, security, and architecture of relational databases, graph databases, and document databases. Moreover, an overview of other SQL- and NoSQL-based database approaches is provided. In addition to classic concepts such as the entity and relationship model and its mapping in SQL database schemas, query languages or transaction management, other aspects for NoSQL databases such as non-relational data models, document and graph query languages (MQL, Cypher), the Map/Reduce procedure, distribution options (sharding, replication) or the CAP theorem (Consistency, Availability, Partition Tolerance) are explained. This 2nd English edition offers a new in-depth introduction to document databases with a method for modeling document structures, an overview of the document-oriented MongoDB query language MQL as well as security and architecture aspects. The topic of database security is newly introduced as a separate chapter and analyzed in detail with regard to data protection, integrity, and transactions. Texts on data management, database programming, and data warehousing and data lakes have been updated. In addition, the book now explains the concepts of JSON, JSON schema, BSON, index-free neighborhood, cloud databases, search engines and time series databases. The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading. It conveys an in-depth comparison of relational and non-relational approaches and shows how to undertake development for big data applications. This way, it benefits students and practitioners working across the broad field of data science and applied information technology. 606 $aDatabase management 606 $aArtificial intelligence$xData processing 606 $aInformation retrieval 606 $aComputer architecture 606 $aDatabase Management 606 $aData Science 606 $aData Storage Representation 615 0$aDatabase management. 615 0$aArtificial intelligence$xData processing. 615 0$aInformation retrieval. 615 0$aComputer architecture. 615 14$aDatabase Management. 615 24$aData Science. 615 24$aData Storage Representation. 676 $a005.74 700 $aKaufmann$b Michael$4aut$4http://id.loc.gov/vocabulary/relators/aut$01065100 702 $aMeier$b Andreas$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910744504803321 996 $aSQL and NoSQL Databases$93561561 997 $aUNINA