Author: David Hecksel Publisher: Packt Publishing Ltd ISBN: 1849680698 Category : Computers Languages : en Pages : 503
Book Description
Combine high volume data movement, complex transformations and real-time data integration with the robust capabilities of ODI in this practical guide.
Author: D. Hecksel Publisher: CreateSpace ISBN: 9781502851147 Category : Computers Languages : en Pages : 384
Book Description
Combine high volume data movement, complex transformations and real-time data integration with the robust capabilities of ODI in this practical guide Discover the comprehensive and sophisticated orchestration of data integration tasks made possible with ODI, including monitoring and error-management Get to grips with the product architecture and building data integration processes with technologies including Oracle, Microsoft SQL Server and XML files A comprehensive tutorial packed with tips, images and best practices In Detail Oracle Data Integrator (ODI) is Oracle's strategic data integration platform for high-speed data transformation and movement between different systems. From high-volume, SOA-enabled data services, to trickle operations - ODI is a cutting-edge platform that offers heterogeneous connectivity, enterprise-level deployment, and strong administrative, diagnostic, and management capabilities. "Getting Started with Oracle Data Integrator 11g: A Hands-On Tutorial" provides you with everything you to get up and running with Oracle Data Integrator, and more! Following an example scenario, the book covers essential information about the ODI architecture and using ODI across different databases (Oracle, Microsoft SQL Server and MySQL), and file types such as XML, before covering Orchestrating Data Integration Workflows, Error Management, Operational Management and Monitoring, and beyond. "Getting Started with Oracle Data Integrator 11g: A Hands-On Tutorial" begins by describing the Oracle Data Integrator architecture and teaching you to install the product following best practices. You'll then be introduced to some of the key concepts of ODI such as the Knowledge Modules. Later topics include moving and transforming data from sources to targets including the Oracle Database, Microsoft SQL Server, MySQL, Flat files, and XML files, each with illustrated hands-on examples for the different technologies. Your learning experience will be made all the more rich with chapters introducing, explaining and leveraging additional ODI functionality such as variables, reusable procedures, temporary indexes and more. Finally ODI's workflow and task orchestration capabilities are explained before introducing you to Error Management with ODI's built-in 'error hospital' and 'error recycling' capabilities for non-compliant data, not to mention tackling ODI Studio, ODI Console and Enterprise Manager Fusion Middleware Control. What you will learn from this book Get to grips with the various components of the Oracle Data Integrator architecture Learn how to install ODI quickly and effectively using recommended best practices Orchestrate your data integration processing by designing ODI packages and scenarios Discover how to develop ODI interfaces in order to effortlessly move data between servers and files Get the full lowdown on both Error Processing and Management and Monitoring Give your knowledge a boost with in-depth coverage of various data sources and targets including Oracle, Microsoft SQL Server and XML files Master key ODI concepts like Physical and Logical Architectures or the Knowledge Modules Take advantage of expert advice from the authors' combined 15 years of ODI experience Approach "Getting Started with Oracle Data Integrator 11g: A Hands-On Tutorial" is a practical tutorial bursting with tips, illustrations and real-world best practices to get you on your way with ODI. Who this book is for If you are a software/ETL developer or database administrator who is new to Oracle Data Integrator but want to get hands-on with the product quickly, then "Getting Started with Oracle Data Integrator 11g: A Hands-On Tutorial" is for you. You should have some experience with databases, SQL and ETL technologies.
Author: Christophe Dupupet Publisher: Packt Publishing Ltd ISBN: 1849681759 Category : Computers Languages : en Pages : 517
Book Description
Written as a practical Cookbook, the recipes in this essential guide will help you make the most out of Oracle Data Integrator 11g.This book is meant for people who already possess a basic understanding of Oracle Data Integrator and want to take it to the next level by learning how to better leverage advanced ODI features and functionality as they continue to develop and manage their data integration projects.
Author: David Hecksel Publisher: Packt Pub Limited ISBN: 9781849680684 Category : Computers Languages : en Pages : 384
Book Description
Getting Started with Oracle Data Integrator 11g: A Hands-On Tutorial is a practical tutorial bursting with tips, illustrations and real-world best practices to get you on your way with ODI. If you are a software/ETL developer or database administrator who is new to Oracle Data Integrator but want to get hands-on with the product quickly, then Getting Started with Oracle Data Integrator 11g: A Hands-On Tutorial is for you. You should have some experience with databases, SQL and ETL technologies.
Author: Frank Kane Publisher: Packt Publishing Ltd ISBN: 1787280225 Category : Computers Languages : en Pages : 415
Book Description
This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book Take your first steps in the world of data science by understanding the tools and techniques of data analysis Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods Learn how to use Apache Spark for processing Big Data efficiently Who This Book Is For If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book. What You Will Learn Learn how to clean your data and ready it for analysis Implement the popular clustering and regression methods in Python Train efficient machine learning models using decision trees and random forests Visualize the results of your analysis using Python's Matplotlib library Use Apache Spark's MLlib package to perform machine learning on large datasets In Detail Join Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them. Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis. Style and approach This comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time.
Author: Thomas Nield Publisher: "O'Reilly Media, Inc." ISBN: 1491938560 Category : Computers Languages : en Pages : 144
Book Description
Businesses are gathering data today at exponential rates and yet few people know how to access it meaningfully. If you’re a business or IT professional, this short hands-on guide teaches you how to pull and transform data with SQL in significant ways. You will quickly master the fundamentals of SQL and learn how to create your own databases. Author Thomas Nield provides exercises throughout the book to help you practice your newfound SQL skills at home, without having to use a database server environment. Not only will you learn how to use key SQL statements to find and manipulate your data, but you’ll also discover how to efficiently design and manage databases to meet your needs. You’ll also learn how to: Explore relational databases, including lightweight and centralized models Use SQLite and SQLiteStudio to create lightweight databases in minutes Query and transform data in meaningful ways by using SELECT, WHERE, GROUP BY, and ORDER BY Join tables to get a more complete view of your business data Build your own tables and centralized databases by using normalized design principles Manage data by learning how to INSERT, DELETE, and UPDATE records
Author: Allison Parrish Publisher: Maker Media, Inc. ISBN: 1457186799 Category : Computers Languages : en Pages : 204
Book Description
Processing opened up the world of programming to artists, designers, educators, and beginners. The Processing.py Python implementation of Processing reinterprets it for today's web. This short book gently introduces the core concepts of computer programming and working with Processing. Written by the co-founders of the Processing project, Reas and Fry, along with co-author Allison Parrish, Getting Started with Processing.py is your fast track to using Python's Processing mode.
Author: Alejandro Vaisman Publisher: Springer ISBN: 3642546552 Category : Computers Languages : en Pages : 639
Book Description
With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including multi-dimensional models; conceptual and logical data warehouse design and MDX and SQL/OLAP. Subsequently, Part II details “Implementation and Deployment,” which includes physical data warehouse design; data extraction, transformation, and loading (ETL) and data analytics. Lastly, Part III covers “Advanced Topics” such as spatial data warehouses; trajectory data warehouses; semantic technologies in data warehouses and novel technologies like Map Reduce, column-store databases and in-memory databases. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Pentaho Business Analytics. All chapters are summarized using review questions and exercises to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available at http://cs.ulb.ac.be/DWSDIbook/, including electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style.
Author: Budi Darmawan Publisher: IBM Redbooks ISBN: 0738432970 Category : Computers Languages : en Pages : 440
Book Description
In this IBM® Redbooks® publication, we give an overview of different data management topics related to a typical SAP® data center. The intrinsic functionality of SAP is not designed to completely handle all the tasks of a data center by itself, but the SAP system offers several interface possibilities to attach external tools to it to accomplish this task We explain SAP basic concepts and the issues with SAP data management. We introduce Tivoli® Storage Manager and all of its products that are related to SAP data management. We provide some comparison between database backup and recovery tools. Finally, we discuss data archiving using IBM DB2® CommonStore for SAP, and discuss high availability requirements and disaster recovery considerations. The second part of this book discusses a practical implementation of SAP backup and recovery with Tivoli Storage Manager. We implement this setup on two separate SAP systems: one running DB2 and the other running Oracle® database. We also implement LAN-free backup and FlashCopy® scenarios. In the sample implementation section, we show many different tasks, such as backup and restore, database recovery, backup monitoring, and tuning. We also cover some advanced backup/availability considerations, such as split mirror backup and standby databases. This book helps individuals that operate an SAP environment to devise a strategy for a sound and comprehensive data backup solution using the IBM Tivoli Storage Management product family.
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Author: David Hecksel
Author: D. Hecksel
Author: Christophe Dupupet
Author: David Hecksel
Author: Frank Kane
Author: John P. Jeffries
Author: Thomas Nield
Author: Allison Parrish
Author: Alejandro Vaisman
Author: Budi Darmawan