Brendan Tierney

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Master the Underutilized Advanced Features of SQL and PL/SQLThis hands-on guide from Oracle Press shows how to fully exploit lesser known but extremely useful SQL and PL/SQL features-and how to effectively use both languages together. Written by a team of Oracle ACE Directors, Real-World SQL and PL/SQL: Advice from the Experts features best practices, detailed examples, and insider tips that clearly demonstrate how to write, troubleshoot, and implement code for a wide variety of practical applications. The book thoroughly explains underutilized SQL and PL/SQL functions and lays out essential development strategies. Data modeling, advanced analytics, database security, secure coding, and administration are covered in complete detail.Learn how to:• Apply advanced SQL and PL/SQL tools and techniques• Understand SQL and PL/SQL functionality and determine when to use which language• Develop accurate data models and implement business logic• Run PL/SQL in SQL and integrate complex datasets• Handle PL/SQL instrumenting and profiling• Use Oracle Advanced Analytics and Oracle R Enterprise• Build and execute predictive queries• Secure your data using encryption, hashing, redaction, and masking• Defend against SQL injection and other code-based attacks• Work with Oracle Virtual Private DatabaseCode examples in the book are available for download at www.MHProfessional.com.TAG: For a complete list of Oracle Press titles, visit www.OraclePressBooks.com

O chem kniga:Segodnja nauka o dannykh ispolzuetsja prakticheski vo vsekh sferakh: vy vidite podobrannye spetsialno dlja vas reklamnye objavlenija, rekomendovannye na osnove vashikh predpochtenij filmy i knigi, ssylki na predpolagaemykh druzej v sotssetjakh, otfiltrovannye pisma v papke so spamom. Eta kniga znakomit s osnovami nauki o dannykh. V nej okhvatyvajutsja vse kljuchevye aspekty, nachinaja s istorii razvitija sbora i analiza dannykh i zakanchivaja eticheskimi problemami, svjazannymi s konfidentsialnostju informatsii. Avtory objasnjajut, kak rabotajut nejronnye seti i mashinnoe obuchenie, privodjat primery analiza biznes-problem i togo, kak ikh mozhno reshit, rasskazyvajut o sferakh, na kotorye nauka o dannykh okazhet naibolshee vlijanie v buduschem. "Nauka o dannykh" uzhe perevedena na japonskij, korejskij i kitajskij jazyki.TsitatySejchas protsess sbora, khranenija i obrabotki dannykh stal kak nikogda ranee dostupen dlja organizatsij.Tsel nauki o dannykh - uluchshit protsess prinjatija reshenij, osnovyvaja ikh na bolee glubokom ponimanii situatsii s pomoschju analiza bolshikh naborov dannykh.Kak pravilo, nauka o dannykh stanovitsja poleznoj, kogda u nas est bolshoe kolichestvo primerov i kogda vyjavljaemye zakonomernosti slishkom slozhny, chtoby chelovek mog obnaruzhit ikh samostojatelno.Dlja kogo knigaDlja analitikov, programmistov i vsekh tekh, komu interesno ponjat, chto takoe nauka o dannykh i kak ee mozhno ispolzovat v raboteOb avtorakhDzhon Kellekher - rukovoditel Nauchno-issledovatelskogo instituta informatsii, kommunikatsii i razvlechenij pri Dublinskom tekhnologicheskom universitete. On izuchaet iskusstvennyj intellekt, analiz dannykh i mashinnoe obuchenie. Brendan Tirni - konsultant, direktor Oracle ACE. On chitaet lektsii po Data Mining i usovershenstvovannym bazam dannykh v Dublinskom tekhnologicheskom institute. U nego bolee chem 23-letnij opyt raboty s dannymi. Brendan rabotal nad proektami v Irlandii, Velikobritanii, Evrope, Kanade i SSHA.

Datatiede on nopeasti kehittyvä ala, joka yhdistää monien eri alojen ongelmat, algoritmit ja aineiston analyysissa käytetyt mentelmät tavoitteenaan eristää (suur)aineistosta arvokasta tietoa. Informaatiotekniikan ja sosiaalisen median kehityksen seurauksena aineistoa kerätään nyt enemmän kuin koskaan ja sitä käytetään moniin tarkoituksiin.Datatiede liittyy läheisesti koneoppimiseen, tilastotieteeseen, aineiston eettiseen käyttöön ja sen käytön sääntelyyn ja suurteholaskentaan, kaikki tällä hetkellä erittäin tärkeitä yhteiskunnallisia kysymyksiä.Datatiede on ensimmäinen suomenkielinen kirja, joka esittelee alan ja sen haasteet jokaiselle ymmärrettävällä tavalla.John D. Kelleher on Dublinin teknillisen korkeakoulun tietotekniikan professori ja sen Informaatio-, viestintä- ja viihdetutkimuksen laitoksen akateeminen johtaja. Suomeksi häneltä on aikaisemmin ilmestynyt teos Syväoppiminen.Brendan Tierney on saman yliopiston luennoija ja useiden tiedonlouhintaa käsittelevän kirjan tekijä.

A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges.It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Master the Big Data Capabilities of Oracle R EnterpriseEffectively manage your enterprise’s big data and keep complex processes running smoothly using the hands-on information contained in this Oracle Press guide. Oracle R Enterprise: Harnessing the Power of R in Oracle Database shows, step-by-step, how to create and execute large-scale predictive analytics and maintain superior performance. Discover how to explore and prepare your data, accurately model business processes, generate sophisticated graphics, and write and deploy powerful scripts. You will also find out how to effectively incorporate Oracle R Enterprise features in APEX applications, OBIEE dashboards, and Apache Hadoop systems.Learn to:• Install, configure, and administer Oracle R Enterprise• Establish connections and move data to the database• Create Oracle R Enterprise packages and functions• Use the R language to work with data in Oracle Database• Build models using ODM, ORE, and other algorithms• Develop and deploy R scripts and use the R script repository• Execute embedded R scripts and employ ORE SQL API functions• Map and manipulate data using Oracle R Advanced Analytics for Hadoop• Use ORE in Oracle Data Miner, OBIEE, and other applications

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Build Next-Generation In-Database Predictive Analytics Applications with Oracle Data Miner“If you have an Oracle Database and want to leverage that data to discover new insights, make predictions, and generate actionable insights, this book is a must read for you! In Predictive Analytics Using Oracle Data Miner: Develop & Use Oracle Data Mining Models in Oracle Data Miner, SQL & PL/SQL, Brendan Tierney, Oracle ACE Director and data mining expert, guides you through the basic concepts of data mining and offers step-by-step instructions for solving data-driven problems using SQL Developer’s Oracle Data Mining extension. Brendan takes it full circle by showing you how to deploy advanced analytical methodologies and predictive models immediately into enterprise-wide production environments using the in-database SQL and PL/SQL functionality. Definitely a must read for any Oracle data professional!” --Charlie Berger, Senior Director Product Management, Oracle Data Mining and Advanced AnalyticsPerform in-database data mining to unlock hidden insights in data. Written by an Oracle ACE Director, Predictive Analytics Using Oracle Data Miner shows you how to use this powerful tool to create and deploy advanced data mining models. Covering topics for the data scientist, Oracle developer, and Oracle database administrator, this Oracle Press guide shows you how to get started with Oracle Data Miner and build Oracle Data Miner models using SQL and PL/SQL packages. You'll get best practices for integrating your Oracle Data Miner models into applications to automate the discovery and distribution of business intelligence predictions throughout the enterprise.Install and configure Oracle Data Miner for Oracle Database 11g Release 11.2 and Oracle Database 12cCreate Oracle Data Miner projects and workflowsPrepare data for data miningDevelop data mining models using association rule analysis, classification, clustering, regression, and anomaly detectionUse data dictionary views and prepare your data using in-database transformationsBuild and use data mining models using SQL and PL/SQL packagesMigrate your Oracle Data Miner models, integrate them into dashboards and applications, and run them in parallelBuild transient data mining models with the Predictive Queries feature in Oracle Database 12c