Building the Unstructured Data Warehouse

Building the Unstructured Data Warehouse

Building the Unstructured Data Warehouse

Bill Inmon / Krish Krishnan

36,28 €
IVA incluido
Disponible
Editorial:
Technics Publications
Año de edición:
2011
ISBN:
9781935504047
Páginas:
1152
Encuadernación:
Cartoné
36,28 €
IVA incluido
Disponible

Selecciona una librería:

  • Donde los libros
  • Librería 7artes
  • Librería Elías (Asturias)
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)

Learn essential techniques from data warehouse legend Bill Inmon on how to build the reporting environment your business needs now!Answers for many valuable business questions hide in text. How well can your existing reporting environment extract the necessary text from email, spreadsheets, and documents, and put it in a useful format for analytics and reporting? Transforming the traditional data warehouse into an efficient unstructured data warehouse requires additional skills from the analyst, architect, designer, and developer. This book will prepare you to successfully implement an unstructured data warehouse and, through clear explanations, examples, and case studies, you will learn new techniques and tips to successfully obtain and analyze text.Master these ten objectives: Build an unstructured data warehouse using the 11-step approach Integrate text and describe it in terms of homogeneity, relevance, medium, volume, and structure Overcome challenges including blather, the Tower of Babel, and lack of natural relationships Avoid the Data Junkyard and combat the “Spider’s Web” Reuse techniques perfected in the traditional data warehouse and Data Warehouse 2.0,including iterative development Apply essential techniques for textual Extract, Transform, and Load (ETL) such as phrase recognition, stop word filtering, and synonym replacement Design the Document Inventory system and link unstructured text to structured data Leverage indexes for efficient text analysis and taxonomies for useful external categorization Manage large volumes of data using advanced techniques such as backward pointers Evaluate technology choices suitable for unstructured data processing, such as data warehouse appliances   3

Artículos relacionados

  • Strategic Advancements in Utilizing Data Mining and Warehousing Technologies
    Organizations rely on data mining and warehousing technologies to store, integrate, query, and analyze essential data. Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments discusses developments in data mining and warehousing as well as techniques for successful implementation. Contributions investigate theoretical queries ...
    Disponible

    236,66 €

  • Online Instruments, Data Collection, and Electronic Measurements
    One of the infinite rewards to continuously advancing technology is an increased ease and precision in organizational techniques. Online data collection and online instruments are vital ways to electronically measure and assess organizational areas relevant to management, leadership, and human research development. Online Instruments, Data Collection, and Electronic Measurement...
    Disponible

    229,95 €

  • Exploring Advances in Interdisciplinary Data Mining and Analytics
    Data mining is still a relatively young field, expanding at the rate of technology while advancing tools and techniques for gaining knowledge, finding patterns, and managing databases. Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends is an updated look at the state of technology in the field of data mining and analytics. As processor speeds, databas...
    Disponible

    255,93 €

  • Research and Trends in Data Mining Technologies and Applications
    David Taniar
    ...
    Disponible

    88,74 €

  • Knowledge Discovery Practices and Emerging Applications of Data Mining
    Recent developments have drastically increased the volume and complexity of data available to be mined, leading researchers to explore new ways to glean non-trivial data automatically. Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to recent research activities in the field of data mining. This book covers as...
    Disponible

    236,54 €

  • Developing Metadata Application Profiles
    The prevalence of data science has grown exponentially in recent years. Increases in data exchange have created the need for standards and formats on handling data from different sources. Developing Metadata Application Profiles is an innovative reference source that discusses the latest trends and techniques for effectively managing and exchanging metadata. Including a range o...
    Disponible

    223,01 €