Master the modern data stack and Peliqan platform through our video academy. Learn how to become data-driven with our bite-sized videos.
From foundational data concepts to hands-on platform tutorials, learn how to build ETL pipelines, create low-code data apps, and unlock the full potential of your data infrastructure.
Learn the basics of Peliqan, an all-in-one data platform with three main components for connecting data, exploring it with SQL, and building custom data apps using low-code Python.
Learn about low-code Python Data Apps, covering their use cases for automation, custom data pipelines, and API endpoints, as well as features like Streamlit UI, scheduling, versioning, and built-in dwh functions.
Explore how Peliqan’s ELT pipelines automatically sync data from over 250 sources into your data warehouse with features like incremental fetching, customizable schedules, and rate-limit handling.
Explore how Peliqan’s data lineage feature tracks the provenance of data through connected queries and shows the impact of changes on downstream queries.
Learn how to connect external databases and activate replication to sync data from external tables or internal queries into the Peliqan data warehouse.
Learn why top Odoo Partners trust Peliqan to combine data from Odoo with data from webshops, marketplaces, payment gateways, accounting software, and more.
Learn how Peliqan’s federated query engine powered by Trino lets you seamlessly combine data from databases, APIs, and SaaS applications using standard SQL.
Learn how to quickly configure and deploy Peliqan’s data platform for your customers, connecting multiple data sources to deliver unified analytics and insights in minutes.
Learn about the Modern Data Stack, a combination of technologies and tools used to store, process, and analyze data to gain valuable insights.
This video discusses the components of a modern data stack, outlining three implementation approaches: using a cloud provider, combining different tools, or utilizing an all-in-one platform.
Learn about data warehouses, their role in the modern data stack, how they differ from traditional databases, and specific features like those found in Snowflake.
Learn about data lakes, an alternative to data warehouses, designed to store structured and unstructured data at any scale and optimized for big data processing and analytics.
This video introduces Reverse ETL, explaining how it allows data to flow from a data warehouse back into business applications, contrasting with traditional ETL which only moves data into the warehouse.
This video demonstrates how to set up Peliqan’s reverse ETL to automatically sync data, such as companies and contacts, from a CRM into an ERP using features like custom queries, field mapping and incremental sync scheduling and scheduled syncs.
Build custom reports with a low-code script, based on ERP data and distribute them as Excel files or PDF documents.
Use low-code Python to write updates into your ERP, for example update sales order in Odoo based on eCommerce transactions.
Reconcile data, for example ERP sales orders and transactions from payment gateways (Stripe, Paypal, Klarna etc). Next, visualize the results in Peliqan or your own BI tool.
What is data orchestration
(coming soon)
What is data governance
(coming soon)
What is a semantic layer
(coming soon)
