Structured data forms the foundation of many data-driven systems and is crucial for effective data analysis and decision-making. Within the realm of structured data, there are different shapes and forms that enable organizations to manage and utilize data in diverse ways. In this blog post, we will explore several important concepts related to structured data, including SCD (Slowly Changing Dimensions) types, Master Full, Master Incremental, Unitemporal, and Bitemporal data.
Every company I meet today has a data platform. And if they don’t have one, they want one. Problem is that building and maintaining a data platform is not trivial. First, multiple tools need to be integrated together: Airflow, Spark, Presto, Kafka, Flink, Snowflake, and potentially many more, but, more importantly, a dedicated engineering team must be setup to maintain and make sure everything runs smoothly. And, what usually happens is that, after data has been accumulated for months and months, the cost of running such infrastructure is higher than the benefit.
So the question is: do you really need a data platform ?
As a developer, you're no stranger to the challenges of creating a cohesive API from multiple microservices. But with Dozer, you can say goodbye to the complexity and hello to lightning-fast results. Dozer automates every step of the process, from building data pipelines to real-time data aggregation, indexing, and lightning-quick queries. With just a simple configuration, you can generate gRPC and REST APIs and integrate with your customer-facing products. Let's walk through the experience of the speed and ease of real-time API creation with Dozer.
What are the challenges of implementing efficient and scalable data APIs?
