Data lakes on the cloud continue to grow at an exponential pace but only a few deliver the desired business results. Data Fidelity empowers business users to easily find, profile, clean, enrich and shape data in a visual, interactive manner and help keep pace with business demand for agile, exploratory analytics. We uniquely reduces the complexity of the data lake and accelerates business value.
What can you achieve?
Data Governance and Information Security
Our team will help ensure that you have complete visibility, traceability and control of your Data Lake
Data catalog and lineage capabilities in your new Data Lake platform
Delivering information that the business trusts
Ability to ingest sensitive data with access that you can control
Architecture
Our team can help you design your Data Lake based on best practices and automated deployment patterns
Share information seamlessly through your data lake
Reduced operating costs
Utilise serverless products and services
Enable scalable analytics
Advanced Analytics
Our solution enables you to leverage the variety of analytical tools from AWS for self-service advanced analytics. We will accelerate your time to market by delivering a Data Lake so you can explore your data and gain valuable insights
Enable your Analysts / Data Scientists with governed sandpit environments
Utilise Artificial Intelligence or Machine Learning concepts
Learn More About Data Lakes
A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data, and run different types of analytics—from dashboards and visualizations to big data processing, real-time analytics, and machine learning to guide better decisions. The ability to harness more data, from more sources, in less time, and empowering users to collaborate and analyze data in different ways leads to better, faster decision making.
Big data tools and technologies offer opportunities and challenges in being able to analyze data efficiently to better understand customer preferences, gain a competitive advantage in the marketplace, and grow your business. Data management architectures have evolved from the traditional data warehousing model to more complex architectures that address more requirements, such as real-time and batch processing; structured and unstructured data; high-velocity transactions; and so on.
Data Lake Example with AWS
Time to Move Forward
A cloud-based data lake can help you store your data in a flexible, scalable way—ensuring that data can be stored safely and accessed when needed.
A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data, and run different types of analytics—from dashboards and visualizations to big data processing, real-time analytics, and machine learning to guide better decisions. The ability to harness more data, from more sources, in less time, and empowering users to collaborate and analyze data in different ways leads to better, faster decision making.
Data lakes are an ideal workload to be deployed in the cloud. The cloud provides performance, scalability, reliability, availability, a diverse set of analytic engines, and economies of scale. A data lake on Amazon Web Services (AWS) or Azure enables you to collect, store, and analyze data at a massive scale.