Cloud Native Data Lakes

Semantive presents its Cloud Native Data Lakes service - a robust solution designed to store, manage, and analyze vast volumes of structured and unstructured data.

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With our cloud-native approach, we ensure data lakes are easily scalable, distributed, and capable of handling your growing data requirements.

We focus on the design and implementation of data ingestion pipelines that can efficiently extract, transform, and load data from various sources into the data lake. Our approach ensures minimal latency, higher throughput, and efficient data processing. Furthermore, we uphold the highest standards in data privacy and compliance by implementing secure access controls.

Have questions about how our Cloud Native Data Lakes service can benefit your organization?

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What We Do

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Why Choose Semantive?

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Efficient Data Pipelines: Streamline Your Data Flow

Our team of experts designs and implements data ingestion pipelines tailored to your specific needs. By efficiently extracting, transforming, and loading data, we ensure seamless data flow into your data lake.

Data Privacy and Compliance: Secure and Compliant Data Management

With Semantive, data privacy and compliance aren't an afterthought. We implement robust security measures and access controls to keep your data secure. We ensure that your data management aligns with the relevant regulatory standards.

Scalability and Distribution: Manage Large Volumes of Data

Leveraging the power of cloud-native systems, we offer scalable and distributed data lakes. Regardless of the volume or complexity of your data, our solution is equipped to handle it, ensuring your data management remains uninterrupted and efficient.

Cloud Native Data Lakes

Our approach involves designing and implementing data lakes that are natively integrated with cloud resources, offering improved scalability, distribution, and performance.
We deal with a wide range of data types, from structured relational data to raw unstructured data from industrial sensors and logs.
Our service includes the construction of data ingestion pipelines using efficient Extract, Transform, and Load (ETL) processes.
We integrate AWS's access control mechanisms and implement robust security protocols.
These measures, combined with monitoring tools, protect your data from unauthorized access and threats while ensuring compliance with data protection regulations.

Extend Your Team with Semantive's Cloud Engineers

If you're looking to augment your team with expertise in cloud operations on AWS, Semantive offers a flexible staffing model that allows you to extend your team with our experienced cloud engineers.

Our specialists work as part of your team, seamlessly integrating with your existing processes and infrastructure to provide additional capacity, skills, and knowledge. You can scale up or down the number of engineers as needed, depending on your project requirements and budget. This model allows you to leverage the expertise of our specialists to help you achieve your business goals faster while maintaining full control over your project.

With Semantive's extended team model, you can reduce the costs and risks associated with hiring, training, and managing additional in-house staff while benefiting from the experience and skills of our cloud developers. Our team members are AWS-certified professionals with extensive experience in cloud-native app development, DevOps, and infrastructure management, and they are fully committed to delivering high-quality solutions that meet your business needs.

Contact us today to learn more about how our extended team model can help you achieve your business goals faster and more efficiently with the expertise of our cloud engineers.

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