The engine driving modern data architecture today is the cloud data lake and/or data warehouse. Wavicle’s Cloud Data Lakes and Data Warehouse consulting services allow our clients to break free from rigid data center constraints and scale up and down on demand.
A modern data warehouse must meet bi-modal requirements: accelerated time-to-market on the one hand, and governed data quality control on the other. Wavicle’s reference architecture is purpose-built and field-tested to meet these contending demands. Wavicle’s Cloud Data Lakes and data warehouses integrate data from disparate sources, govern data quality and deliver a single version of the truth. With data privacy and security built in from the ground up, these ‘little-engines-that-could’ also deliver cloud-enabled scalability, self-service capability for democratized access, and faster time-to-market for new data products.
How is your data structured, how is it processed, who are the key users of your data, and what purpose will your data serve? Wavicle’s Cloud Data Lakes and Data Warehouse services come with our incisive knowledge and expertise to support your business in deciphering these central questions before driving the cloud engineering behind your eventual storage architecture. Wavicle’s Cloud Data Lakes and Data Warehouse consultants meticulously evaluate your enterprise’s specific data formats, sources (raw vs. structured), end users, processing requirements, and intended outcomes. The goal is to address pain points within your current data storage infrastructure that can be resolved within these new, more efficient frameworks. Your business obtains an incredibly powerful, responsive data storage solution with the capacity to evolve and grow as your requirements change:
- Well-organized, accessible Data Lakes for large volumes of raw data for use in myriad future analytics applications, primarily managed by data scientists.
- Data Warehouse architecture that comprises structured, filtered data ready for analytics, giving business users multiple self-service options for analytics, data visualization and reporting applications.
- A combination of Data Lakes and Data Warehouse architecture, with appropriate hierarchies, security, and governance rules providing a best-of-both-worlds solution.
Because the feature set available from cloud service providers is expanding constantly, Wavicle’s experience implementing and optimizing cloud offerings gives your enterprise the capability to stay on the leading edge. For example, Wavicle’s cloud clients have the flexibility of deploying task-specific compute resources (e.g., GPUs for compute-intensive machine learning and low-cost commodity CPUs for data-intensive processing). Containerized CI/CD and embedded ML/AI analytics is a standard, best practice we use in all of our work.
Today’s data lakes and data warehouses offer organizations tremendous gains in data resource flexibility, capacity, and speed in managing large volumes of data assets. Wavicle’s Cloud Data lakes and Data Warehouse services can help your business take advantage of this next-generation evolution, by engineering modern big data storage solutions that tackle your data storage challenges head on.