8.14 Data Warehouse Day31

Source: Internet
Author: User

---note---

Database Warehouse:

1. Theme-oriented

2. Data integration (cleanup)

3. Time-variant of the database

4. The non-volatile nature of data

5. Support decision-making system

Data Warehouse using parallel structure

Adopt a new query optimization strategy and index structure

Database warehouse conceptual model (data warehouse is stored as metadata)

1. Conceptual Data Model

Logical model (intermediate type)

Performance issues:

1. Merging tables

2. Set up data series

3. Introduction of redundancy

4. Physical partitioning of tables

5. Generate Export Data

6. Establishing Generalized indexes

Four types of metadata

Metadata for the data source

Metadata about the data model

About metadata for Data Warehouse mappings

About metadata used by the Data Warehouse

The role of Meta data

Improved interaction with the system

Improve data quality

Support System Integration

Support system analysis, design and maintenance

Increased flexibility

---note---

8.14 Data Warehouse Day31

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.