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Begin by accessing your Visma Economic account. Navigate to the specific modules from which you want to export data (such as invoices, customers, or products). Utilize Visma's built-in export functionality to download the data as CSV or Excel files. Ensure that you export all necessary fields needed for your TiDB database.
Once you have your data in CSV or Excel format, open the files and review the structure. Ensure that the data is clean and consistent, with no empty fields or corrupted entries. Adjust the column headers to match the schema you plan to use in TiDB. Save the cleaned data in a consistent format, ideally CSV, as it is widely supported for database imports.
If you haven't already, set up your TiDB database environment. You can do this by installing TiDB locally or using a cloud service that offers TiDB. Follow the official TiDB documentation to set up your database cluster and ensure that it is running correctly.
Before importing your data, you need to create the appropriate schema in TiDB. Use SQL commands to define the database structure, including tables, columns, data types, and any necessary indexes. Make sure the schema matches the structure of your data from Visma Economic.
Use the `LOAD DATA` SQL command to import your data from the CSV files into TiDB. This can be done via a SQL client connected to your TiDB instance. The command will look something like:
```
LOAD DATA LOCAL INFILE 'path_to_your_file.csv'
INTO TABLE your_table_name
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 LINES;
```
Adjust the command parameters based on the specifics of your CSV file format.
After the data import, run SQL queries to verify that the data has been accurately transferred into TiDB. Check row counts, column data types, and any key fields to ensure data integrity. This step is crucial to confirm that the import process was successful and that the data aligns with the expected format.
Once the data is verified, optimize your database for performance by creating necessary indexes and running any optimization queries. Indexing can significantly improve query performance in TiDB, especially for large datasets. Consider your query patterns and index the columns that are frequently used in WHERE clauses or joins.
By following these steps, you can effectively move data from Visma Economic to TiDB without relying on third-party connectors or integrations.
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Visma e-conomic having other systems like e-commerce, payment service providers, point of sale, marketplaces, logistic and accounting systems. It generally offers businesses with a range of software solutions, including an online accounting program. After all, Visma e-conomic is the market leader in cloud-based financial systems in Denmark and has over 160,000 customers. Visma e-conomic is one kinds of e-commerce market place that is aimed at both small and medium-sized businesses and accountants and bookkeepers.
Visma E-conomic's API provides access to a wide range of data related to accounting and financial management. The following are the categories of data that can be accessed through the API:
1. Customers and Suppliers: Information about customers and suppliers, including contact details, payment terms, and credit limits.
2. Invoices: Details of invoices issued and received, including invoice numbers, dates, amounts, and payment status.
3. Products and Services: Information about products and services offered by the business, including prices, descriptions, and stock levels.
4. Bank Transactions: Details of bank transactions, including deposits, withdrawals, and transfers.
5. Accounting Journals: Information about accounting journals, including general ledger entries, accounts payable, and accounts receivable.
6. VAT: Details of VAT transactions, including VAT rates, amounts, and tax codes.
7. Reports: Access to a range of financial reports, including balance sheets, income statements, and cash flow statements.
Overall, the Visma E-conomic API provides comprehensive access to financial data, enabling businesses to streamline their accounting processes and gain valuable insights into their financial performance.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
