Analytical Puzzle
Autor David Haertzenen Limba Engleză Paperback – 17 oct 2012
Preț: 220.19 lei
Preț vechi: 313.34 lei
-30% Nou
Puncte Express: 330
Preț estimativ în valută:
42.14€ • 44.51$ • 35.23£
42.14€ • 44.51$ • 35.23£
Carte disponibilă
Livrare economică 11-25 decembrie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781935504207
ISBN-10: 1935504207
Pagini: 346
Dimensiuni: 254 x 205 x 26 mm
Greutate: 0.84 kg
Editura: TECHNICS PUBN LLC
ISBN-10: 1935504207
Pagini: 346
Dimensiuni: 254 x 205 x 26 mm
Greutate: 0.84 kg
Editura: TECHNICS PUBN LLC
Cuprins
Develop a foundational knowledge of data warehousing, business intelligence & analytics; Build the business case needed to sell your data warehousing project, & then produce a project plan that avoids common pitfalls ; Elicit & organize business intelligence & data warehousing business requirements; Specify the technical architecture of the data warehousing system, including software & infrastructure components, technology stack, & non-functional requirements. Gain an understanding of cloud based data warehousing & data warehouse appliances; Learn about data attributes including metrics & key performance indicators (KPIs), the raw material of data warehousing & business intelligence; Learn about data modeling & how to apply design patterns for each part of the data warehouse; Speak the dimensional modeling language of measures, dimensions, facts, cubes, stars, & snowflakes; Organize a successful data governance program. Learn how to manage metadata for your data warehousing & business intelligence project; Identify useful data sources & implement a data quality program; Use database technology for your data warehousing project, & understand the impact of data warehouse appliances, big data, in memory databases, columnar databases & OnLine Analytical Processing (OLAP); Apply data integration & understand the role data mapping, data cleansing, data transformation, & loading data play in a successful data warehouse; Use the business intelligence (BI) operations of slice, dice, drill down, roll up, & pivot to analyze & present data; Learn about descriptive & predictive statistics, & calculate mean, median, mode, variance & standard deviation; Harness analytical methods such as regression analysis, data mining, & statistics to make profitable decisions & anticipate the future; Appreciate the components & design patterns that compose a successful analytic application; Gain an understanding of the uses & benefits of scorecards & dashboards including support of mobile device users; Gain insight into applications of business intelligence that could profit your organization, including risk management, finance, marketing, government, healthcare, science & sports; Perform customer analytics to better understand & segment your customers; Test, roll out, & sustain the data warehouse.