'Dimension table' presentation slideshows

Lecture 3: Business Intelligence: OLAP, Data Warehouse, and Column Store

Lecture 3: Business Intelligence: OLAP, Data Warehouse, and Column Store. Why we still study OLAP/Data Warehouse in Big Data?. Understand the Big Data history How does the requirement of (big) data analytics/business intelligence evolve over the time?

1.46k views • 119 slides

An Introduction to Data Warehousing

An Introduction to Data Warehousing. Anand Deshpande Persistent Systems Pvt. Ltd. http://www.persistent.co.in. Optimizing the Warehouse for Decision Support. Data -- Heart of the Data Warehouse. Heart of the data warehouse is the data itself! Single version of the truth Corporate memory

996 views • 79 slides

Introduction to Business Intelligence

Introduction to Business Intelligence. Prem Shanker Sr. Software Engineer Credit Suisse. Goals . Learn about the concept of Data Warehousing and what BIDS offer. Learn about how to design and implement a Data Warehouse Dimensional database. Learn about what is a cube.

938 views • 75 slides

Chapter 33

Chapter 33. Data Warehousing Design Transparencies. Chapter Objectives. The activities associated with initiating a data warehouse project.

608 views • 47 slides

Telecommunications and Utilities

Telecommunications and Utilities. Introduction. Decision support systems. What were the sales volumes by region and product category for the last year? How did the share price of computer manufacturers correlate with quarterly profits over the past 10 years?

599 views • 46 slides

Multiscale Visualization Using Data Cubes

Multiscale Visualization Using Data Cubes. Chris Stolte, Diane Tang, Pat Hanrahan Stanford University Information Visualization October 2002 Boston, MA. Motivation. Large multidimensional databases have become very common Need techniques for exploration and analysis

764 views • 42 slides

Data Warehouse : Modeling and Design

Data Warehouse : Modeling and Design. N. L. Sarda. Outline. Introduction Warehouse structure A case study Dimensional analysis. Introduction. DW is a single, complete and consistent store of data from different sources to understand & analyze the business Contains history data

679 views • 42 slides

On-Line Application Processing

On-Line Application Processing. Warehousing Data Cubes (Data Mining) (slides borrowed from Stanford). Overview. Traditional database systems are tuned to many, small, simple queries. Some new applications use fewer, more time-consuming, complex queries.

516 views • 41 slides

Dimensional Modelling

Dimensional Modelling. II. Factless Fact Table. Generally Fact Table contains concatenated primary key linking it to dimension tables facts or measures Task: Keep track of student attendance Dimensions: student, course, date, room, Instructor What is the measurement ?

646 views • 37 slides

Data Analysis

Data Analysis. Overview. Traditional database systems are tuned to many, small, simple queries. Some applications use fewer, more time-consuming, analytic queries. OLTP. Most database operations involve On-Line Transaction Processing (OTLP).

453 views • 34 slides

Data Warehouse Design

Data Warehouse Design. Spring 2014. Prerequisite. Reference: http://technet.microsoft.com/en-us/library/aa902672%28v=sql.80%29.aspx#sql_dwdesign_topic3 Architecture goals clear and understood Understand different types of users and their needs

464 views • 34 slides

MIS 451 Building Business Intelligence Systems

MIS 451 Building Business Intelligence Systems. Logical Design (1). Project Planning. Requirements Analysis. Logical Design. Physical Design. Data Staging. Data Analysis (OLAP). Introduction to Dimensional Modeling.

447 views • 31 slides

OLAP

OLAP. Overview. Traditional database systems are tuned to many, small, simple queries. Some new applications use fewer, more time-consuming, analytic queries. New architectures have been developed to handle analytic queries efficiently. The Data Warehouse.

534 views • 29 slides

ACCTG 6910 Building Enterprise & Business Intelligence Systems (e.bis)

ACCTG 6910 Building Enterprise & Business Intelligence Systems (e.bis). Dimensional Modeling II. Olivia R. Liu Sheng, Ph.D. Emma Eccles Jones Presidential Chair of Business. Technical Architecture Design. Product Selection & Installation. End-User Application Specification.

435 views • 29 slides

Chapter 11: Data Warehousing

Chapter 11: Data Warehousing. ? : ? 11 ?? Chapter 10. ????? ???????. Definition. Data Warehouse : A subject-oriented, integrated, time-variant, non-updatable collection of data used in support of management decision-making processes

461 views • 29 slides

CS 345: Topics in Data Warehousing

394 views • 29 slides

CS 345: Topics in Data Warehousing

385 views • 26 slides

Data Mining and the Weka Toolkit

Data Mining and the Weka Toolkit. University of California, Berkeley School of Information IS 257: Database Management. Review OLAP (ROLAP, MOLAP) Data Mining with the WEKA toolkit. Lecture Outline. Related Fields. Machine Learning. Visualization. Data Mining and Knowledge Discovery.

319 views • 16 slides

Cognos 8 Training Session

385 views • 12 slides

Data Warehousing

Data Warehousing. DSCI 4103 Dr. Mennecke. Chapter 4. Complex, multi-stage transactions. In some instances, processes might involve multiple conditional transactions (e.g., one type of payment requires a credit check, another requires specialized invoicing, etc.)

183 views • 10 slides