Data Lake series articles

         Data lake is a way to store data in a natural format in a system or repository , It helps to configure data in a variety of patterns and structures , Usually object blocks or files . The main idea of data lake is to store all the data in the enterprise , From raw data （ An exact copy of the source system data ） Convert to report 、 visualization 、 Target data for various tasks such as analysis and machine learning . The data in the data Lake includes structured data （ Relational database data ）, Semi-structured data （CSV、XML、JSON etc. ）, Unstructured data （ E-mail , file ,PDF） And binary data （ Images 、 Audio 、 video ）, Thus forming a centralized data storage that can hold all forms of data .

        Data Lake 01： What is data lake ？

         Data Lake 02： What are the characteristics of data Lake  

         Data Lake 03：AWS What do you think is a data lake ？

         Data Lake 04： Data Lake Technology architecture evolution

         Data Lake 05： Look at the data lake from the data warehouse

         Data Lake 06：Delta Lake Principle and function overview

         Data Lake 07：Apache Hudi Principle and function overview

         Data Lake 08：Apache Iceberg Principle and function introduction  

         Data Lake 09： Open source framework DeltaLake、Hudi、Iceberg Depth contrast

         Data Lake 10： New big data solutions , How to build a data Lake ?