Store, Organize & Process your Data
Powering Your Big Data Architecture
Today’s cloud-based systems rely on Apache Hadoop and Apache Spark to store, process, and analyze your data. By storing data with these particular systems, you benefit from a flexible and extensible API and in-memory processing that supports multiple workloads such as batch, stream, machine learning, on-demand caching, and efficient administrative support. Syntelli’s data experts will craft a solution that leverages Hadoop or Spark to improve your big data architecture, and our nearly seamless implementation, close communication, and unrivaled depth of experience will quickly set us apart from our peers. With these Apache systems comes the need for rapid data wrangling, cleansing, optimization, application of custom business rules. Syntelli’s comprehensive data engineering services will meet each of those needs, and power your data with artificial intelligence models, predictive analytics services, and Apache’s Kylin Distributed Analytics Engine.
Using Data Lakes Solutions
Transferring Your Data to an Enterprise Data Warehouse
Build Insightful Reports and Data Visualizations
How can we help your organization?
First, we’ll get to know you; we’ll work to understand your unique business needs and technical capabilities. From there, we develop an enterprise data architecture that is tailored to those needs and is reasonable given those capabilities. Some of the ways in which we can improve your business’s big data architecture:
- Create more efficient storage and retrieval of big data
- Apply structured business rules to your data
- Implement data warehouses, whether focused or enterprise-wide
- Implement the use of data lakes
- Build intuitive, insightful reports and visualizations
- Shape and optimize your data
Want to learn more about our data engineering capabilities or the real-world customer success stories we’ve created?