Data used in bioinformatics is often large, messy, and in esoteric file formats. Luckily for us, cloud-based data lakes are the perfect choice for storing and organizing data at-scale. Plus, having your data availabe in your cloud environment unlocks its use with other cloud tools for scalable bioinformatics pipelines, machine learning, reporting, and more!
Whether you have 10 samples or 10 million, the lake can handle it. Plus, it's a very cost-efficient service, even at high volumes of data.
Capture previous versions of ever-changing data. Auto-demote unused data based on activity.
Lock down particular folders or files using Azure Active Directory.
Use geo-redundancy to protect your data for ever getting lost.
Connect to your data lake from cloud tools such as Azure Machine Learning, Databricks, and Synapse.
Due to its widespread use in enterprise data architectures for storing tons of data, cloud-based data lakes are a perfect option for housing genomics data and integrating with other cloud-based services.
Pull data from your vendor's S3 Buckets/SFTP sites, public databases, your own servers, and even third-party tools like Illumina BaseSpace.
Let the consulting pros at <Tuple> show you how scalable, cloud storage can revolutionize your bioinformatics data estate!