Genomics Data Lake
Ready for a swim? β΅
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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.
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Lock down particular folders or files using Azure Active Directory. Use geo-redundancy to protect your data from ever getting lost.
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Capture previous versions of ever-changing data. Auto-demote unused data based on activity.
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Connect to your data lake from cloud tools such as Azure Machine Learning, Databricks, Synapse, and Snowflake.
Phenomenal Features
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.
The Goal: Scalable Queries
Once your data is organized in a data lake, you can then use tools like Azure Databricks or Azure Synapse Analytics to query across your entire data estate, unlocking insights faster than ever.
Ask Questions Across Your Studies.
"How many of the samples in Study B have Gene ERBB2 expression > 10 TPM across all RNA-seq analyses?"
Quickly Aggregate for Faster Reporting
"Return a combined list of all spectrophotometer readings for Client Q's studies in 2022."
Analyze with Ease
"What is the average expression Protein Q9NZQ7 across all of Client X's spatial proteomics runs?"
Organize and manage all of your -omics data.
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 available in your cloud environment unlocks its use with other cloud tools for scalable bioinformatics pipelines, machine learning, reporting, and more!
Get Data In. Move Data Around.
Once you have a data lake in place, data orchestration tools like Azure Synapse or Data Factory can help you easily move data from your vendor sFTP servers, lab equipment, and local network storage up to the cloud. Then, itβll ready for you to analyze, visualize, and strategize.