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Amazon Simple Storage Service
Posted On Aug 10, 2021Amazon Simple Storage Service (S3) is the largest and most performant object storage service for structured and unstructured data and the storage service of choice for building a data lake. With Amazon S3, you can construct and scale a data lake of any size in a safe environment with 99.99999999 percent data protection.
To acquire insights from your unstructured data sets, create a data lake on Amazon S3, and leverage native AWS services to execute big data analytics, artificial intelligence (AI), machine learning (ML), high-performance computing (HPC), and media data processing applications. You can use Amazon FSx for Lustre to launch file systems for HPC and ML applications, as well as directly process huge media workloads. You can also employ Amazon Partner Network analytics, AI, machine learning, and high-performance computing applications (APN). IT managers, storage administrators, and data scientists may use Amazon S3 to enforce access controls, manage objects at scale, and audit activities across their S3 data lakes since it provides a wide range of functionalities.
For household brands like Netflix, Airbnb, Sysco, Expedia, GE, and FINRA, Amazon S3 stores tens of thousands of data lakes that they utilize to safely scale with their needs and find business insights every minute.
With an S3 data lake, you can store and analyze unstructured data.
Why use Amazon S3 to create a data lake?
The data durability of Amazon S3 is designed to be 99.999999999 percent (11 9s). With that level of durability, storing 10,000,000 things on Amazon S3 should only result in the loss of a single object once every 10,000 years! All uploaded S3 objects are automatically duplicated and stored across many systems by the service. This indicates that your information is accessible.
Scalability on demand Instantly scale-up storage capacity without lengthy resource procurement cycles. Security by design Protect data with an infrastructure designed for the most data-sensitive enterprises.
Automatically store copies of data across a minimum of three Availability Zones to protect against the failure of an entire AWS Availability Zone (AZs). Availability Zones are separated by many miles to offer fault tolerance, but no more than a hundred to ensure minimal latencies.
Integrations with third-party service providers Bring favorite analytics tools to your S3 data lake from the APN. AWS services for analytics, HPC, AI, ML, and media data processing Use AWS native services to run applications on your data lake.
Comprehensive freedom to operate at an object-level while managing at scale, configure access, and enable cost efficiency are just a few of the data management features available.
Scalability on demand Instantly scale-up storage capacity without lengthy resource procurement cycles Durable against the failure of an entire AWS Availability Zone Automatically store copies of data across a minimum of three Availability Zones Security by design Protect data with an infrastructure designed for the most data-sensitive organizations (AZs). Availability is used to provide fault tolerance. Integrations with third-party service providers Bring favorite analytics tools to your S3 data lake from the APN. AWS services for analytics, HPC, AI, ML, and media data processing Use AWS native services to run applications on your data lake.
Comprehensive freedom to operate at an object-level while managing at scale, configure access, and enable cost efficiency are just a few of the data management features available.
Comtech as the number one cloud solution provider in Kerala offers the best cloud solutions. As a partner of AWS the above-mentioned features were provided by our experienced consultant. All AWS services help you in accelerating your journey to the cloud. Know more on recent trends in cloud computing. If you are at the confusion about what aspects of AWS are good for your business know more here.
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