001482310 000__ 04395cam\\2200577\i\4500 001482310 001__ 1482310 001482310 003__ OCoLC 001482310 005__ 20231128003331.0 001482310 006__ m\\\\\o\\d\\\\\\\\ 001482310 007__ cr\cn\nnnunnun 001482310 008__ 231010s2023\\\\nyua\\\\o\\\\\001\0\eng\d 001482310 020__ $$a9781484297353$$q(electronic bk.) 001482310 020__ $$a1484297350$$q(electronic bk.) 001482310 020__ $$z9781484297346 001482310 020__ $$z1484297342 001482310 0247_ $$a10.1007/978-1-4842-9735-3$$2doi 001482310 035__ $$aSP(OCoLC)1402176372 001482310 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO$$dOCLCF 001482310 049__ $$aISEA 001482310 050_4 $$aQA76.9.D37 001482310 08204 $$a005.74$$223/eng/20231010 001482310 1001_ $$aPaul, Nayanjyoti,$$eauthor. 001482310 24510 $$aPractical implementation of a data lake :$$btranslating customer expectations into tangible technical goals /$$cNayanjyoti Paul. 001482310 264_1 $$aNew York :$$bApress,$$c[2023] 001482310 264_4 $$c©2023 001482310 300__ $$a1 online resource (xx, 202 pages) :$$billustrations 001482310 336__ $$atext$$btxt$$2rdacontent 001482310 337__ $$acomputer$$bc$$2rdamedia 001482310 338__ $$aonline resource$$bcr$$2rdacarrier 001482310 500__ $$aIncludes index. 001482310 5050_ $$aChapter 1: Understanding the Customer Needs -- Chapter 2: Security Model -- Chapter 3: Organizational Model -- Chapter 4: Data Lake Structure -- Chapter 5: Production Playground -- Chapter 6: Production Operationalization -- Chapter 7: Miscellaneous. 001482310 506__ $$aAccess limited to authorized users. 001482310 520__ $$aThis book explains how to implement a data lake strategy, covering the technical and business challenges architects commonly face. It also illustrates how and why client requirements should drive architectural decisions. Drawing upon a specific case from his own experience, author Nayanjyoti Paul begins with the consideration from which all subsequent decisions should flow: what does your customer need? He also describes the importance of identifying key stakeholders and the key points to focus on when starting a new project. Next, he takes you through the business and technical requirement-gathering process, and how to translate customer expectations into tangible technical goals. From there, youll gain insight into the security model that will allow you to establish security and legal guardrails, as well as different aspects of security from the end users perspective. Youll learn which organizational roles need to be onboarded into the data lake, their responsibilities, the services they need access to, and how the hierarchy of escalations should work. Subsequent chapters explore how to divide your data lakes into zones, organize data for security and access, manage data sensitivity, and techniques used for data obfuscation. Audit and logging capabilities in the data lake are also covered before a deep dive into designing data lakes to handle multiple kinds and file formats and access patterns. The book concludes by focusing on production operationalization and solutions to implement a production setup. After completing this book, you will understand how to implement a data lake, the best practices to employ while doing so, and will be armed with practical tips to solve business problems. You will: Understand the challenges associated with implementing a data lake Explore the architectural patterns and processes used to design a new data lake Design and implement data lake capabilities Associate business requirements with technical deliverables to drive success. 001482310 588__ $$aDescription based on print version record. 001482310 650_6 $$aEntrepôts de données (Informatique) 001482310 650_6 $$aSystèmes d'information de gestion. 001482310 650_6 $$aExploration de données (Informatique) 001482310 650_0 $$aData warehousing.$$0(DLC)sh 97003695 001482310 650_0 $$aManagement information systems. 001482310 650_0 $$aData mining.$$vCongresses$$0(DLC)sh2008102035 001482310 650_0 $$aBusiness intelligence.$$0(DLC)sh 85018300 001482310 655_0 $$aElectronic books. 001482310 77608 $$iPrint version:$$aPaul, Nayanjyoti.$$tPractical implementation of a data lake.$$dNew York : Apress, 2023$$z9781484297346$$w(OCoLC)1400754847 001482310 852__ $$bebk 001482310 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-9735-3$$zOnline Access$$91397441.1 001482310 909CO $$ooai:library.usi.edu:1482310$$pGLOBAL_SET 001482310 980__ $$aBIB 001482310 980__ $$aEBOOK 001482310 982__ $$aEbook 001482310 983__ $$aOnline 001482310 994__ $$a92$$bISE