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Fnatic, based out of London, is the world's leading esports organization, with a winning legacy of 16 years and counting in over 28 different titles, generating over 13m USD in prize money. Fnatic has an engaged follower base of 14m across their social media platforms and hundreds of millions of people watch their teams compete in League of Legends, CS:GO, Dota 2, Rainbow Six Siege, and many more titles every year.
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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.
PrestaShop is an open-source e-commerce platform whose cutting-edge technology powers over 300,000 e-commerce businesses globally. The PrestaShop mission is to allow the open-source community to “put their heads together” to develop superior eCommerce software—which they achieved in 2016, winning CMS Critic Award for Best eCommerce Software. The perfect solution for creating and growing an online business, PrestaShop provides all the features needed to achieve success.
An object-relational database management system, PostgreSQL is able to handle a wide range of workloads, supports multiple standards, and is cross-platform, running on numerous operating systems including Microsoft Windows, Solaris, Linux, and FreeBSD. It is highly extensible, and supports more than 12 procedural languages, Spatial data support, Gin and GIST Indexes, and more. Many web, mobile, and analytics applications use PostgreSQL as the primary data warehouse or data store.
PrestaShop's API provides access to a wide range of data related to e-commerce stores. The following are the categories of data that can be accessed through PrestaShop's API:
1. Products: Information related to products such as name, description, price, stock, images, and categories.
2. Customers: Data related to customers such as name, email, address, and order history.
3. Orders: Information related to orders such as order number, customer details, products ordered, and payment information.
4. Categories: Data related to product categories such as name, description, and parent categories.
5. Manufacturers: Information related to manufacturers such as name, description, and logo.
6. Suppliers: Data related to suppliers such as name, address, and contact information.
7. Carriers: Information related to shipping carriers such as name, description, and shipping rates.
8. Employees: Data related to employees such as name, email, and access permissions.
9. Languages: Information related to languages used in the store such as name, code, and translations.
10. Currencies: Data related to currencies used in the store such as name, code, and exchange rates.
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.