dbt Semantic Layer - Implementation
Introduction Welcome back to the dbt Semantic Layer series! This article is a continuation of our previous article titled “dbt Semantic Layer - what…
Read moreING is a global bank with a European base, serving large corporations, multinationals and financial institutions in over 40 countries with 14.1M primary customers. Due to the importance it attaches to sustainability and innovation (ING has been recognized as one of Forbes magazine’s most innovative companies), it puts more and more emphasis on becoming a data driven company that will be able to offer the customer the best possible opportunities. The main goal of ING is to provide clients with the best possible experience with the offered services.
The main needs behind the construction of the DAP was aimed at centralizing all data sources and ensuring their democratization within ING for the purposes of data mining. All with an appropriate level of security and data governance.
If you want to know the results, download Case Study** here.**
Introduction Welcome back to the dbt Semantic Layer series! This article is a continuation of our previous article titled “dbt Semantic Layer - what…
Read moreStaying ahead in the ever-evolving world of data and analytics means accessing the right insights and tools. On our platform, we’re committed to…
Read moreWe would like to announce the dbt-flink-adapter, that allows running pipelines defined in SQL in a dbt project on Apache Flink. Find out what the…
Read moreIf you are looking at Nifi to help you in your data ingestions pipeline, there might be an interesting alternative. Let’s assume we want to simply…
Read moreData Mesh as an answer In more complex Data Lakes, I usually meet the following problems in organizations that make data usage very inefficient: Teams…
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Read moreTogether, we will select the best Big Data solutions for your organization and build a project that will have a real impact on your organization.
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