We’re laser focused on scaling your AWS environment, regardless of the delivery model, whether it’s an end-to-end solution, advisory or Consulting. From automating key processes, implementing our accelerators and frameworks to delivering entire platforms.
Data processing needs are constantly evolving, and the need for faster intake and analytics of structured, semi-structured and unstructured data is growing every day. A serverless data lake on AWS does not require any server, databases or any other hardware and software to be configured. AWS provides services as SaaS, which are charged on a ‘pay-as-you-use’ basis.
Whether it’s surgically fitting into one narrow need or across your entire Data Lake Architecture, we’re here to empower your team in its Cloud journey.
Whether it’s surgically fitting into one narrow need or across your entire Data Lake Architecture, we’re here to empower your team in its Cloud journey.
It supports both batch and real-time data processing.
This architecture includes proSkale’s own event driven data migration process that can be customized. It is proven process that saves data migration cost and time
ProSkale’s Serverless Data Lake solution on AWS, supports both batch and real-time and near real-time data ingestion, transformation and analytics.
Batch Mode
Speed Mode
Benefits
Pros
Cons
After thorough analysis of the existing on-prem applications, proSkale’s engineers design a serverless system that includes cost and cycle time. These metrics are used to determine ROI. proSkale’s solution generally saves 40% to 50% over on-prem cost.
ProSkale can do a POC to show cost and time savings. Based on the result of the POC, the customer can decide whether to move forward with proSkale’s solution.
Benefits for customers include lower operational cost, no infrastructure cost, very low maintenance cost, faster time-to-market and ability to scale the environment in a very short period. Amazon AWS provides automatic scaling. ProSkale ensures that their solution meets regulatory compliance requirements and provides security through AWS’s proven security tools like Identity and Access Management, encryption, role-based access control and multi-factor authentication. The solution captures metadata of the ingested data, thus preventing the Data Lake from becoming a ‘Data Swamp’.
A serverless data lake architecture’s primary advantage is the ability to store objects in a highly durable, secure, and scalable manner with only milliseconds of latency for data access. A serverless solution provides the ability to load any type of data – from web sites, business apps, and mobile apps to even IoT sensors.
Serverless architectures offer greater automation and scalability, more flexibility, and quicker time to market, all at a reduced cost.
Compared to other cloud-based data lake solutions, serverless data lake enables lower latency for data life cycle; data is processed in milliseconds as soon as it is generated.
A serverless data lake solution can also handle small, medium and large files, which is done by splitting large files into smaller files and processing each file in separate serverless job streams running in parallel.
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