Building the Data Warehouse, First Edition (11 results)

Condition: Good. 1st Edition. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Condition: Good. 1st Edition. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Condition: Very Good. 1st Edition. Used book that is in excellent condition. May show signs of wear or have minor defects.

Condition: Good. 1st. Used book that is in clean, average condition without any missing pages.

Condition: Good. 1st. Used book that is in clean, average condition without any missing pages.

Condition: New. 2015. 1st Edition. Paperback. Num Pages: 684 pages. BIC Classification: UND. Category: (P) Professional & Vocational. Dimension: 195 x 234 x 38. Weight in Grams: 1314. . . . . .

Hardcover. Condition: Very Good. No Jacket. 1st Edition. Text in English. Hardcover, NO jacket, 9.5" tall, 206 pages. "First Edition" stated; assume first printing as no number line is given. Boards have edge and corner rubs and bumps, surface scratches/dents, and light scuffs. Pages are clean and binding is tight.

hardcover. Condition: Good. 1st ed. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Hardcover. Condition: new. Hardcover. 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 analyse 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 categorisation; 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. Transforming the traditional data warehouse into an efficient unstructured data warehouse requires additional skills from the analyst, architect, designer, and developer. This book prepares you to successfully implement an unstructured data warehouse, and helps you learn various techniques and tips to successfully obtain and analyse text. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. 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 analyse 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 categorisation; 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. Transforming the traditional data warehouse into an efficient unstructured data warehouse requires additional skills from the analyst, architect, designer, and developer. This book prepares you to successfully implement an unstructured data warehouse, and helps you learn various techniques and tips to successfully obtain and analyse text. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

VG. Owner name fep. Data Warehouse is the name for architecture to address computerwide data access. Immon discusses issues and techniques for successful migration to this core of decision-support processing. 1st ptg edition.