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What is the modern data stack? Complete guide

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Learn what the modern data stack is – a combination of cloud-native technologies and tools used to ingest, store, process, and analyze data to gain valuable business insights.

The modern data stack typically separates concerns into specialized layers: data ingestion and ELT, cloud data warehousing, transformation, business intelligence, and reverse ETL. Each layer is powered by best-in-class tools that work together via standard interfaces, rather than one monolithic platform.

In this video you will learn the core components of the modern data stack, why it replaced traditional ETL architectures, and how all-in-one platforms like Peliqan combine the modern data stack into a single, simpler experience.

FAQs

The modern data stack is a set of cloud-native tools for collecting, storing, transforming, and analyzing data. It typically includes data ingestion (ELT), a cloud data warehouse, transformation tools, BI tools, and reverse ETL.

Traditional ETL transforms data before loading it into a warehouse, often using on-premise tools. The modern data stack loads raw data first (ELT) into a cloud warehouse, then transforms it with SQL – making it faster and more flexible.

The main components are data ingestion / ELT, a cloud data warehouse (like Snowflake or BigQuery), data transformation tools, business intelligence (BI), and reverse ETL.

Not anymore. All-in-one platforms like Peliqan combine ingestion, warehousing, transformation, and BI in one product, removing the need to integrate multiple vendors.

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