Why Should Amazon S3 Be Your Preferred Data Lake

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Amazon S3 (Simple Storage Service) is an optimized storage service based in the cloud. It can store any data in its native format, regardless of whether it is unstructured, semi-structured, or structured. Data is stored in a safe and secured environment and data durability is an amazing 99.999999999 (11 9s).

Many competencies are used when a data lake is built on Amazon S3. Among the main ones for S3 data lake are media data processing applications, Artificial Intelligence (AI), Machine Learning (ML), big data analytics, and high-performance computing (HPC). All these combined provide businesses with critical and incisive analytics and business intelligence as well as unstructured data sets from S3 data lake. For more details click here.

There are several benefits of the S3 data lake.



• Computing and storage are in different silos in the S3 data lake and data in any format can be stored in it. This is against the traditional systems of the past where storage and computing facilities were closely interlinked and it was impossible to individually estimate the data processing and storage and infrastructure maintenance costs.

• The S3 data lake provides users with direct access to the services of Amazon S3. They can avail the facility of server less computing where codes can be run without having to managing or provisioning servers. Server less and non-cluster platforms of the AWS like Amazon Athena, Amazon Rekognition, Amazon Redshift Spectrum, and AWS Glue can be used for data processing, querying, and implementation. Charges for all these services are only for the quantum of resources used.

• Support for APUs of the Amazon S3 data lake by many third-party vendors like Amazon Hadoop.

These are some of the cutting-edge capabilities of the S3 data lake

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