Data Processing

Data Processing Challenges

Companies today are faced with an increasing need to harness deeper insight into their performance and the effectiveness of their strategic decisions. This leads to internal teams and executives needing greater access to an expanding set of business information typically found in vastly different systems. Whether the end goal is to provide a centralized data warehouse for reporting and analytics, separate data environments, or both, the first step in responding to users is in the processing and integration of data.

This challenge leads to several issues. How can can teams integrate the disparate amounts of data into an environment they can control and analyze? How do you solve for the expanding volume and complexity of data? How can you solve for a team's need for atomic data for analysis and the company's desire for enterprise-wide aggregated reporting? These requirements have led to an evolution of two separate data processing needs - traditional data warehouse processing pipelines (ETL) and analytical data environments. Sometimes they can be the same, but the industry has seen more of a divergence as businesses become increasingly data savvy.

The Surfliner Approach

Proper information integration and data processing requires a good understanding of source systems as well as creativity to implement solutions which suit the unique IT requirements of each client. Although we believe in providing your business resources a 360-degree view of your systems, your data and analytic stores and your customers and partners, we also recognize a need for companies to process and analyze both a subset of data and large amounts of atomic information. This can require data integration across all enterprise applications, including the data warehouse. Our approach offers a consistent, accurate view of data utilizing scalable and re-usable code while leveraging open-source technology like Hadoop and HBase, cloud computing such as Amazon Web Services (AWS), proprietary integration and processing systems and custom data processing solutions.

We take our client's full technical architecture and expertise into consideration when building out a data processing network. Our goal is to partner with the business and IT teams to create a very smooth transition from implementation to support.

If your needs are to process data for warehousing, create an analytical sandbox or build a system that will allow you both, Surfliner Services experts can provide cost-effective solutions.

Learn More

To find out more about how Surfliner can help with your data processing needs, email us at info@surflinerservices.com. Or, to read more about our solutions, navigate here: