What is a "Data Lake"?
A data lake is a centralized repository for storing large volumes of structured and unstructured data at any scale. Data lakes are highly scalable, able to accommodate massive volumes of data, and provide a platform for data exploration and analytics.
With this solution, you will have a stronger understanding of your data through analytics and will be able to make faster and better business decisions.
Data silo challenges
Data silos are basically groups of databases that should be connected to each other, but are not accessible to one another. A data-driven enterprise can’t function to its full potential without an enterprise-wide view of data.
Data silos reduce efficiency when attempting to manipulate or analyze data manually, threaten data integrity as the data may grow out-of-sync over time, and waste precious resources in cases of redundant data storage or retrieval. Data silos do not scale well with business growth due to them being complicated and unoptimized, which will bring about limitations to future growth.
Axrail data lake accelerator
With the ready-to-use digital assets we have, you can stop reinventing the wheel to handle common input sources from social media to enterprise software and accelerate your data-driven journey by transforming and simplifying your data, building and planning a centralized data lake tailored to your data’s needs and integrating your data efficiently to achieve the business goals that you want.
This helps you to collect, clean, and structure your data on a single platform using cloud technologies.
Why Data Lake with Axrail?
Enhanced queries
Run unlimited concurrent queries against your data lake without affecting performance. Get higher query performance, more accurate query results, and run faster queries when you entrust your data to us.
Easy data transformation
No matter the type, size, or complexity of your data, we are able to transform and process it with our modern data pipelines. We will employ measures such as high-level access control, data masking, external tokenization, and other features to ensure the integrity and security of your data.
Built-in security
We will employ measures such as high-level access control, data masking, external tokenization and other features to ensure the integrity and security of your data.
