Best Practices for Data Analytics with AWS Azure Googel BigQuery Spark Kafka Confluent Databricks
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Best Practices for Building a Cloud-Native Data Warehouse or Data Lake

The concepts and architectures of a data warehouse, a data lake, and data streaming are complementary to solving business problems. Unfortunately, the underlying technologies are often misunderstood, overused for monolithic and inflexible architectures, and pitched for wrong use cases by vendors. Let’s explore this dilemma in a blog series. This is part 5: Best Practices for Building a Cloud-Native Data Warehouse or Data Lake.
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Lessons learned: SmartGWT 2.3 – Component-Library for Google Web Toolkit (GWT)

I used SmartGWT in our last project (duration: 6 months) – that is a component library for the Google Web Toolkit (GWT). I wanna share my experiences with that component library in the following. I show pros and cons of SmartGWT. Then I explain why I would use only a the client side of SmartGWT in future projects. I used SmartGWT Power 2.3 and GWT 2.0. All information is my personal opinion!
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