AWS Data Lake and Analytics Solutions

Overview of AWS Data Lake

Amazon Web Services (AWS) data lake is a place to store data on the cloud when data is ready for the cloud. It can immediately locate the data in Data lake with Amazon Glue that maintains the catalog of the data. AWS Data Lake has the capability of storing almost unlimited data. Backup and Archive operations are optimized through Amazon Glacier. S3 object storage is the place where data is situated, and it is the cheapest of its kind on the cloud. AWS Data Lake can be optimized with various AWS tools that can save costs up to 80% and can process jobs effectively on the scale. You can also explore Azure Data Lake Analytics capabilities in this. Some of the essential components that AWS data lake has been -

S3 object storage

Amazon Simple Storage Service (or, only S3) is object storage that can store any amount of data, any number of files on the cloud. S3 storage can store enterprise data, IoT data, transactional or operational data and so on. Once data is loaded to S3 then this data can be used anytime and anywhere for all kinds of needs. The data in the Data lake may or may not be curated. Amazon S3 has a wide range of S3 classes to choose from for Data storage. Each of them has its capabilities and securities. We can query in-place by using Amazon Athena and Redshift for data processing.

Glacier for Backup and Archive

Amazon Glacier is a service on S3 than enables support for secure Archiving of data and managing backups. Retrievals of data form current Archive stores are very fast as they can access and retrieve data within 5 minutes. It archives the data across three availability zones within a region. The glacier is best suitable for use cases like asset delivery, healthcare information archiving and scientific data storage.

Glue for Data Catalog Operation

Amazon Glue is a Catalog management service that helps to find and catalog the metadata for faster queries and searches over data. Once we point Glue to the data stored in S3 Storage, Glue then sees all the data and loads its metadata such as schema that will help to query and search among that data faster. The purpose of Glue is performing ETL operations on data. Glue is serverless; hence there is no infrastructure set up for it. This feature makes AWS glue is more efficient and beneficial.

AWS Analytics and Its Capabilities

Amazon Web services have the capability of Analytics based on various market trends. AWS analytics is one of the broad and cost-effective services of its kind. It offers multiple services on the cloud such as Interactive Analytics, Operational Analytics, data warehousing, real-time analytics and many more. Every service offered by AWS analytics is best of its kind and is highly optimized to be deployed on Cloud.

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