{"product_id":"9781935504207","title":"The Analytical Puzzle: Profitable Data Warehousing, Business Intelligence and Analytics","description":"\u003cp\u003eDo you enjoy completing puzzles? Perhaps one of the most challenging (yet rewarding) puzzles is delivering a successful data warehouse suitable for data mining and analytics. \u003cstrong\u003e\u003cem\u003eThe Analytical Puzzle\u003c\/em\u003e\u003c\/strong\u003e describes an unbiased, practical, and comprehensive approach to building a data warehouse which will lead to an increased level of business intelligence within your organization. New technologies continuously impact this approach and therefore this book explains how to leverage big data, cloud computing, data warehouse appliances, data mining, predictive analytics, data visualization and mobile devices.\u003c\/p\u003e\u003cp\u003eHere are the main objectives for each of the book’s 19 chapters:\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 1:\u003c\/strong\u003e Develop a foundational knowledge of data warehousing, business intelligence and analytics\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 2:\u003c\/strong\u003e Build the business case needed to sell your data warehousing project, and then produce a project plan that avoids common pitfalls\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 3:\u003c\/strong\u003e Elicit and organize business intelligence and data warehousing business requirements\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 4:\u003c\/strong\u003e Specify the technical architecture of the data warehousing system, including software and infrastructure components, technology stack, and non-functional requirements. Gain an understanding of cloud based data warehousing and data warehouse appliances\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 5:\u003c\/strong\u003e Learn about data attributes including metrics and key performance indicators (KPIs), the raw material of data warehousing and business intelligence\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 6:\u003c\/strong\u003e Learn about data modeling and how to apply design patterns for each part of the data warehouse\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 7:\u003c\/strong\u003e Speak the dimensional modeling language of measures, dimensions, facts, cubes, stars, and snowflakes\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 8:\u003c\/strong\u003e Organize a successful data governance program. Learn how to manage metadata for your data warehousing and business intelligence project\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 9:\u003c\/strong\u003e Identify useful data sources and implement a data quality program\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 10:\u003c\/strong\u003e Use database technology for your data warehousing project, and understand the impact of data warehouse appliances, big data, in memory databases, columnar databases and OnLine Analytical Processing (OLAP)\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 11:\u003c\/strong\u003e Apply data integration and understand the role data mapping, data cleansing, data transformation, and loading data play in a successful data warehouse\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 12:\u003c\/strong\u003e Use the business intelligence (BI) operations of slice, dice, drill down, roll up, and pivot to analyze and present data\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 13:\u003c\/strong\u003e Learn about descriptive and predictive statistics, and calculate mean, median, mode, variance and standard deviation\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 14:\u003c\/strong\u003e Harness analytical methods such as regression analysis, data mining, and statistics to make profitable decisions and anticipate the future\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 15:\u003c\/strong\u003e Appreciate the components and design patterns that compose a successful analytic application\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 16:\u003c\/strong\u003e Gain an understanding of the uses and benefits of scorecards and dashboards including support of mobile device users\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 17:\u003c\/strong\u003e Gain insight into applications of business intelligence that could profit your organization, including risk management, finance, marketing, government, healthcare, science and sports\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 18:\u003c\/strong\u003e Perform customer analytics to better understand and segment your customers\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eChapter 19:\u003c\/strong\u003e Test, roll out, and sustain the data warehouse\u003c\/li\u003e\n\u003cbr\u003e\n\u003c\/ul\u003e","brand":"Technics Publications, LLC","offers":[{"title":"Default Title","offer_id":47052628656368,"sku":"9781935504207","price":35.46,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781935504207_p0.jpg?v=1763658729","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781935504207","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}