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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.
Weatherstack is a real-time and historical weather data API. This source connector mainly syncs data from the Weatherstack API. The weatherstack API prepares reliable and accurate global weather data in applications and this API allows to get current, historical, location lookup, and weather forecast. The Forecast API which is available on the Professional plan and higher. You can easily get accurate weather information instantly for any location in the world in lightweight JSON format through WeatherStack API.
JSON File is a tool that is used to store and exchange data in a structured format. JSON stands for JavaScript Object Notation, and it is a lightweight data interchange format that is easy for humans to read and write, and easy for machines to parse and generate. JSON files are commonly used in web applications to transfer data between the server and the client, and they are also used in many other programming languages and platforms. JSON files consist of key-value pairs, where each key is a string and each value can be a string, number, boolean, array, or another JSON object. The syntax of JSON is similar to that of JavaScript, but it is a separate language that can be used independently of JavaScript. JSON File is a tool that allows users to create, edit, and view JSON files. It provides a user-friendly interface for working with JSON data, and it can be used by developers, data analysts, and anyone else who needs to work with structured data. With JSON File, users can easily create and modify JSON files, and they can also validate the syntax of their JSON data to ensure that it is well-formed and error-free.
Weatherstack's API provides access to a wide range of weather data, including:
- Current weather conditions: temperature, humidity, pressure, wind speed and direction, visibility, cloud cover, and more.
- Historical weather data: past weather conditions for a specific location and date range.
- Forecast data: weather predictions for a specific location and date range.
- UV index: the level of ultraviolet radiation at a specific location.
- Air quality index: the level of air pollution at a specific location.
- Weather alerts: notifications of severe weather conditions, such as thunderstorms, hurricanes, and tornadoes.
- Astronomical data: sunrise and sunset times, moon phase, and more.
In addition to these categories of data, Weatherstack's API also provides location data, such as latitude and longitude coordinates, city and country names, and time zone information. This data can be used to customize weather reports for specific locations and to provide accurate weather information to users around the world.
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.