This template is a mind - map focused on essential tools for data lake architecture. The central concept is "Essential Tools for Data Lake Architecture", which branches out into four main areas. "Storage" lists various options like Amazon S3, Google Cloud Storage for object storage, and others for file, block, and hybrid storage. "Data Ingestion" includes methods for batch, real - time, and near - real - time ingestion, along with ETL tools and data ingestion platforms. "Data Processing" highlights frameworks for batch and real - time processing. "Data Access & Analytics" features SQL query engines, BI tools, data science platforms, machine learning tools, and data warehouses. This mind - map provides a comprehensive overview for data professionals to understand the toolset available for building and managing a data lake.
