Scenario

Consulting company H uses CDM to import local trade statistics to OBS, and Data Lake Insight (DLI) to analyze trade statistics. In this way, company H builds its big data analytics platform at an extremely low cost, allowing the company more time to focus on their businesses and make innovations continuously.

Background

Company H is a commercial organization in China that engages in collecting trade statistics of major trading nations and buyer data. It has a large-scale trade statistics database. The collected data is widely used in industry research, international trade promotion, and other fields.

In the past, company H used its own big data cluster with maintenance by dedicated personnel. Each year, company H purchased the dedicated bandwidth from China Telecom and China Unicom and invested heavily in equipment room, electric power, private networks, servers, and O&M. However, the company could not satisfy customers' ever-changing service requirements due to insufficient manpower and capability restrictions of its big data cluster. As a result, only 4% of 100 TB inventory data was useful.

After migrating local trade statistics to HUAWEI CLOUD, company H can make full use of the 100 TB inventory data in maximizing asset monetization, without the need of constructing and maintaining infrastructures but relying on HUAWEI CLOUD's big data analysis capabilities.

CDM and DLI use the pay-per-use billing mode, so maintenance personnel are not required and the dedicated bandwidth cost is reduced. Compared with the offline data center, CDM and DLI save the maintenance cost by 70%. In addition, CDM and DLI have low skill demands for personnel and enable smooth migration of existing services, shortening the service rollout period by 50%.

Task

Use CDM, OBS, and DLI to complete trade statistics analysis using the existing data (for example, trade detail records and basic information) of company H's customer data collection and processing system.

Figure 1 Scenario scheme

When creating an OBS foreign table on DLI, the data storage format of the OBS table must meet the following requirements:

When you use the DataSource syntax to create an OBS table, the ORC, Parquet, JSON, CSV, Carbon, and Avro formats are supported.
When you use the Hive syntax to create an OBS table, the Text file, Avro, ORC, SequenceFile, RCFile, Parquet, Carbon formats are supported.

If the storage format of the raw data table does not meet the requirements, you can use CDM to import the raw data to DLI for analysis without uploading the data to OBS.

Data Types

Trade detail records
Trade detail records include trade statistics of major trading nations.

**Table 1** Trade detail records
Field Name	Field Type	Field Description
hs_code	string	List of import and export offering code
country	smallint	Basic information about countries
dollar_value	double	Transaction amount
quantity	double	Transaction volume
unit	smallint	Measurement unit
b_country	smallint	Basic information about the target country
imex	smallint	Import or export
y_year	smallint	Year
m_month	smallint	Month

Basic information
The basic information indicates the dictionary data corresponding to the fields in the trade detail records.

**Table 2** Basic information about countries (description of **country**)
Field Name	Field Type	Field Description
countryid	smallint	Country code
country_en	string	English name of a country
country_cn	string	Chinese name of a country

**Table 3** Information about the update time (description of **updatetime**)
Field Name	Field Type	Field Description
countryid	smallint	Country code
imex	smallint	Import or export
hs_len	smallint	Length of the offering code
minstartdate	string	Minimum start time
startdate	string	Start time
newdate	string	Update time
minnewdate	string	Last update time