Build a data lake for analysis

Architect a data lake to store all your structured and unstructured data and transform data for analysis when you need it.

Many businesses struggle to store and quickly analyze data from new data sources like log files, data from click-streams, social media, and internet-connected devices.

A data lake allows you to store non-relational and relational data from Internet of Things (IoT) devices, web sites, mobile apps, social media, and corporate applications. With the right tools and architecture, you can leverage data lakes to harness more data from more sources in less time, leading to faster, better decision making.

Build a data lake for analysis

Solutions

Amazon Redshift, Amazon Simple Storage Service (Amazon S3), and Matillion

Store your raw structured and unstructured data together, without having to transform it to a defined schema before loading. Quickly access the data you need, when you need it, using the power of Amazon Redshift, Amazon S3, and Matillion ETL to transform it into meaningful insights.

With data integration by Matillion, customers can easily load their data to S3 using pre-built connectors. Then you can use Matillion to trigger transformation jobs to make your data relatable and analyze. Analyze your clean data and send to visualization tools.

Amazon Redshift, Amazon Simple Storage Service (Amazon S3), and Matillion

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Analysis and visualization

Discover and deliver actionable insights with analytics and visualization tools.


Operational intelligence

Monitor and troubleshoot across all of your infrastructure—cloud, virtual, or physical.


Document and/or key value database

Help organizations to meet the demands of user-generated data while providing ease of development, functionality, and performance at scale.


Interested in learning more?
Interested in learning more?