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Amazon S3 Data Lake

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Amazon S3 Data Lake

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  1. A Centralized Depository of Data – S3 Data Lake A data lake is a centralized warehouse where data both structured and unstructured can be stored. This data can be of any size and volume and can be used for various purposes including big data processing, machine learning, dashboards and visualizations, and real-time analytics. With this form of processed data, organizations can accurately make informed operational decisions.

  2. The Amazon Simple Storage Service (S3) is the biggest storage service with infinite scalability and is hence the perfect platform for a data lake. It is possible to increase storage capacities from gigabytes to penta-bytes, paying only for the storage capacity used.There are several benefits of Amazon S3 Data Lake.

  3. A data lake built on Amazon S3 can be used by AWS services to run high-performance computing (HPC), big data analytics, Machine Learning (ML), and Artificial Intelligence (AI). Hence S3 offers the flexibility to use any preferred analytics like AI, ML, or HPC applications from the Amazon Partner Network (APN).

  4. Amazon S3 supports a wide range of features thereby providing storage administrators, IT Managers, and data scientists with the authority to audit activities across data lakes, manage objects at scale, and enforce robust IT policies. Further, with Amazon FSx for Lustre, it is possible to process large media workloads directly from Data Lake and launch file systems for HPC and ML applications.

  5. The main advantage of S3 is ensuring data durability and safety. 11 9s data durability means that if 10,000,000 objects are stored in S3, the possibility of losing one is once in 10,000 years. Any object uploaded on S3 on multiple systems is automatically copied, uploaded, and stored, eliminating the possibility of failures, threats and security breach.

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