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- Automated schema change handling, data normalization and more
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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.
The Pexels API enables programmatic access to the entire Pexels content library, including photos, videos. All content is free, and you're welcome to use Pexels content for anything, as long as it stays within our guidelines.The Pexels API is a RESTful JSON API, and you can interact with it from any language or framework with an HTTP library. Alternatively, Pexels maintains some official client libraries that you can use.
Elasticsearch is a powerful search and analytics engine that is designed to handle large amounts of data in real-time. It is an open-source, distributed, and scalable search engine that is built on top of the Apache Lucene search library. Elasticsearch is used to search, analyze, and visualize data in real-time, making it an ideal tool for businesses and organizations that need to process large amounts of data quickly. Elasticsearch is designed to be highly scalable and can be used to index and search data across multiple servers. It is also highly customizable, allowing users to configure it to meet their specific needs. Elasticsearch is commonly used for log analysis, full-text search, and business analytics. One of the key features of Elasticsearch is its ability to handle unstructured data, such as text, images, and videos. It uses a powerful search algorithm to analyze and index this data, making it easy to search and retrieve information quickly. Elasticsearch also supports a wide range of data formats, including JSON, CSV, and XML, making it easy to integrate with other data sources. Overall, Elasticsearch is a powerful tool that can help businesses and organizations to process and analyze large amounts of data quickly and efficiently.
Pexels API provides access to a vast collection of high-quality images and videos that can be used for various purposes. The API offers a range of data categories, including:
- Images: Pexels API provides access to millions of high-quality images that can be used for commercial and personal projects. The images are available in various resolutions and formats, including JPEG and PNG.
- Videos: The API also offers access to a large collection of high-quality videos that can be used for commercial and personal projects. The videos are available in various resolutions and formats, including MP4 and MOV.
- Search: Pexels API allows users to search for images and videos based on keywords, categories, and other parameters. The search results can be filtered by various criteria, such as orientation, size, and color.
- Popular: The API provides access to a list of popular images and videos that are currently trending on the platform.
- Curated Collections: Pexels API offers access to a range of curated collections of images and videos that are organized by theme, such as nature, technology, and business.
- Contributors: The API also provides information about the contributors who have uploaded images and videos to the platform, including their names and profiles.
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.
