Ingesting and Digesting Big Data - Software Development

Technologies: Analytics, Hadoop, Java

Industry: Energy

Learn more at https://enroutesystems.com/case-studies

Main Challenge:

Our client, a rapidly growing state agency, sought to establish a secure data management platform for storing, sharing, and analyzing data effectively.

Context and Challenges:

The agency faced several challenges:

• The need for a platform that could organize data meaningfully to enhance the speed and reliability of decision-making, given the predominantly confidential nature of the information.
• The imperative to ensure the utmost security in data storage, especially considering the agency's limited IT expertise.

Enroute's Solution:

Our objective was to implement a secure data management platform tailored to the client's needs. Here's how we achieved it:

• Data Profiling: Enroute worked closely with the client to identify data owners, data formats, and data sources.
• Infrastructure Enhancement: We installed new servers and essential software at the client's location to bolster their data infrastructure.
• Cluster Configuration: Enroute expertly configured the server rack to operate as a Hadoop-based cluster, ensuring optimal data processing capabilities.
• Automated Data Ingestion: We developed custom parsers to automate the ingestion of required data, streamlining the process for the agency.
• Intuitive Visualizations: Enroute created intuitive visualizations that empowered the agency to access and interpret their data effortlessly, facilitating informed decision-making.

Through these solutions, Enroute effectively addressed the client's challenges, establishing a secure and efficient data management system that met their unique requirements.