Software Alternatives & Reviews

Architecture options for building a basic Data Lake on AWS - Part 1

Amazon S3 Amazon QuickSight
  1. Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
    2. The data storage enables to hold massive amount of data in raw format. That’s the core of the data lake. The best storage service for this purpose is Amazon S3. As highlighted in the diagram the best approach is to create specific buckets for landing zone, raw data and cleaned data.

    #Cloud Hosting #Object Storage #Cloud Storage 170 social mentions

  2. Fast, easy to use business analytics at 1/10th the cost of traditional BI solutions
    5. Data visualization is the tool that provides a view of the data for your data consumers. The purpose of Amazon QuickSight is to empower your data consumers (especially the business users) for building their visualization. QuickSight is powered by SPICE (Super-Fast, Parallel, In-Memory Calculation Engine) and provides the possibility to build easily dashboards and share it with other users. As highlighted in the proposed architecture, QuickSight is integrated with Athena but it can be integrated with other data sources.

    #Business Intelligence #Data Dashboard #Machine Data Analytics 17 social mentions

Discuss: Architecture options for building a basic Data Lake on AWS - Part 1

Log in or Post with