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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.
Insightly is a cloud-based customer relationship management (CRM) software that helps businesses manage their sales, marketing, and customer service activities. It provides a centralized platform for managing customer interactions, tracking leads and opportunities, and automating workflows. Insightly also offers project management tools, allowing teams to collaborate on tasks and projects, and track progress in real-time. The software integrates with popular business applications such as Google Apps, Office 365, and Mailchimp, making it easy to streamline workflows and improve productivity. With Insightly, businesses can gain valuable insights into their customers and improve their overall customer experience.
Amazon S3 (Simple Storage Service) is a cloud-based object storage service provided by Amazon Web Services (AWS). It is designed to store and retrieve any amount of data from anywhere on the web. S3 is highly scalable, secure, and durable, making it an ideal solution for businesses of all sizes. S3 allows users to store and retrieve data in the form of objects, which can be up to 5 terabytes in size. These objects can be accessed through a web interface or through APIs, making it easy to integrate with other AWS services or third-party applications. S3 also offers a range of features, including versioning, lifecycle policies, and access control, which allow users to manage their data effectively. It also provides high availability and durability, ensuring that data is always accessible and protected against data loss. Overall, S3 is a powerful and flexible tool that enables businesses to store and manage their data in a secure and scalable way, making it an essential component of many cloud-based applications and services.
Insightly's API provides access to a wide range of data related to customer relationship management (CRM) and project management. The following are the categories of data that can be accessed through Insightly's API:
1. Contacts: This includes information about individuals or organizations that are associated with a company, such as their name, email address, phone number, and job title.
2. Organizations: This includes information about companies or other types of organizations, such as their name, address, and industry.
3. Opportunities: This includes information about potential sales opportunities, such as the name of the opportunity, the expected revenue, and the stage of the sales process.
4. Projects: This includes information about ongoing projects, such as the project name, description, and status.
5. Tasks: This includes information about tasks that need to be completed as part of a project, such as the task name, due date, and status.
6. Events: This includes information about events that are scheduled, such as the event name, date, and location.
7. Notes: This includes information about notes that have been added to a contact, organization, opportunity, project, or task.
8. Emails: This includes information about emails that have been sent or received by a contact or organization.
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.