Enterprise Governed Data Store for Batch and Real-Time Data Access for a Leading Financial Firm
- Introduction
A leading financial firm engaged VerticalServe to develop an enterprise governed data store that would provide both batch and real-time data access to clients from a central location, eliminating the need for a complex mesh of systems. The project involved integrating various data sources, setting up Hadoop and Kafka for batch and real-time data access, and creating a user interface for onboarding and data management.
2. Hadoop for Batch Data Access
VerticalServe implemented Hadoop, a distributed storage and processing platform, to facilitate batch data access for the financial firm. Hadoop allowed the firm to efficiently store, process, and analyze large volumes of structured and unstructured data from various sources.
3. Kafka for Real-Time Data
To support real-time data access, VerticalServe set up Kafka, a distributed streaming platform. Kafka enabled the financial firm to handle high-velocity, real-time data streams from multiple sources and deliver them to clients with minimal latency.
4. Integration with Various Systems
VerticalServe integrated the enterprise data store with a wide range of systems, including relational databases (Oracle, Informix, DB2, MSSQL, Teradata), mainframe systems, and SFTP servers. This integration ensured seamless data ingestion and accessibility for clients.
5. Data Access using APIs
The team developed APIs to allow clients to easily access and consume data from the enterprise data store. These APIs ensured secure, standardized, and efficient data access for various client applications and systems.
6. Scheduled Extraction to SFTP and Object Stores
VerticalServe implemented scheduled extraction processes to export data from the enterprise data store to SFTP servers and object stores. This feature allowed clients to retrieve data in a timely and efficient manner.
7. Kafka Connectors and Consumers
The team set up Kafka connectors to ingest data from various sources and created Kafka consumers to process and deliver real-time data streams to clients. This setup provided clients with immediate access to critical real-time data.
8. UI Application for Onboarding and Data Management
VerticalServe developed a user-friendly UI application to manage the onboarding of new data sources and to oversee data management tasks. This application allowed the financial firm to efficiently monitor and control data ingestion, processing, and access within the enterprise data store.
9. Results
The enterprise governed data store developed by VerticalServe provided the financial firm with:
- A centralized platform for batch and real-time data access
- Seamless integration with various data sources and systems
- Efficient data ingestion, processing, and delivery
- Secure and standardized data access through APIs
- Improved data management and monitoring capabilities
10. Conclusion
VerticalServe’s enterprise governed data store solution allowed the leading financial firm to consolidate their data infrastructure, eliminate the need for a complex mesh of systems, and provide clients with efficient batch and real-time data access. The integration of Hadoop and Kafka, along with the user-friendly UI application, ensured that the firm could effectively manage and deliver data to clients, streamlining their operations and enhancing their competitive edge in the market.
About:
VerticalServe Inc — Niche Cloud, Data & AI/ML Premier Consulting Company, Partnered with Google Cloud, Confluent, AWS, Azure…50+ Customers and many success stories..
Website: http://www.VerticalServe.com
Contact: contact@verticalserve.com
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