In the past, companies had to deploy a costly enterprise data warehouse, along with data marts, to handle their vast inflows of data, as well as to store, process, and analyze that data. Along with high upfront costs, in-house data warehousing requires distributed, scalable, and reliable IT infrastructure and expertise. While there may be some positives for this type of enterprise data architecture, the costs can very quickly outweigh any potential benefits. Today, far better options exist!
Syntelli’s team members, from the data engineers and data scientists to the project managers, are well versed in those better options. Our data engineering services will help any company replace their costly, burdensome in-house data infrastructure and turn their big data pipelines into robust systems prepared for business analytics. We work to ensure your data is in the right place at the right time and in the right format. With the growing audience for analytics, both within a given business and across industries, data engineering will become the linchpin that enables the extraction of value from data. Let us craft that linchpin for your company.