Data Engineering for Fintechs
Data Engineering for Fintechs
Support Services
Data architecture management and uptime support services for the Fintech Industry.
Data collection and ingestion involve gathering data from multiple sources. These sources can include databases, unstructured data from documents, or real-time data streams from a variety of devices or applications.
A well-designed ingestion system can handle diverse data formats, manage high volumes, and allow data engineers to implement pre-processing and filtering techniques to remove irrelevant data early in the pipeline.
For data collection we use either Apache Kafka or Apache Pulsar, depending on a client's needs. Both of these software are widely used and extensively tested. They are both also free and open source. In other words, our clients do not pay any license fees to use these platforms.
Additionally, we guarantee 99.99% uptime for data streaming in production. Our clients trust in us to guarantee 100% of their data is collected.
Data storage is where raw and processed data is kept for further use. We use either Elasticsearch or OpenSearch, depending on each client's individual needs and preferences. Both Elasticsearch and OpenSearch are horizontally scalable to handle large workloads and spikes in data.
We also employ hot, warm, and cold storage classifications to suit each use case.
Both of these software are search engines. For our clients we emphasize smart categorization of data and fast retrieval.
Real-time monitoring of data infrastructure is critical to identify emerging issues. This early detection allows emerging issues to be resolved before causing a performance issue.
We ensure all client security needs, financial industry standards, & regulatory requirements are met. For instance, our engineers implement data encryption, role-based access controls, and secure data storage solutions to protect against unauthorized access.
Clients also retain full data authority because all data engineering components are built and managed in our clients' environments.
Custom Optimization
Uptime
support
Strict
SLA
Delivery
semantics
Horizontal
scaling
Latency
Reduction
Geo-
replication
Data Engineering for Fintechs
for Fintechs
Start-to-finish data architecture management and uptime support services for the Fintech Industry
for Fintechs
Start-to-finish data architecture management and uptime support services for the Fintech Industry
Data collection and ingestion involve gathering data from multiple sources. These sources can include databases, unstructured data from documents, or real-time data streams from a variety of devices or applications.
A well-designed ingestion system can handle diverse data formats, manage high volumes, and allow data engineers to implement pre-processing and filtering techniques to remove irrelevant data early in the pipeline.
For data collection we use either Apache Kafka or Apache Pulsar, depending on a client's needs. Both of these software are widely used and extensively tested. They are both also free and open source. In other words, our clients do not pay any license fees to use these platforms.
Additionally, we guarantee 99.99% uptime for data streaming in production. Our clients trust in us to guarantee 100% of their data is collected.
Data storage is where raw and processed data is kept for further use. We use either Elasticsearch or OpenSearch, depending on each client's individual needs and preferences. Both Elasticsearch and OpenSearch are horizontally scalable to handle large workloads and spikes in data. For instance, some of our clients are ingesting terabytes of data each day.
We also employ hot, warm, and cold storage classifications to suit each use case.
Additionally, both of these software are search engines. For our clients we emphasize smart categorization of data and fast retrieval.
Real-time monitoring of data infrastructure is critical to identify emerging issues. This early detection allows emerging issues to be resolved before causing a performance issue.
Financial data contains sensitive information. This information requires strict security measures. Our engineers implement data encryption, role-based access controls, and secure data storage solutions to protect against unauthorized access.
Data Architecture for Fintechs
Data Architecture for Fintechs
Data Architecture for Fintechs
Data Pipeline Development
Data Pipeline Development
We will work with you to improve on your existing solution or design a new one to meet the intricate needs of Fintech companies.
High Availability
High Availability
For financial institutions, data loss is not an option. We use detailed real-time monitoring & alerting to track cluster performance, allowing us to resolve emerging issues before they lead to a disruption in service.
Security
Security
We ensure all client security needs, industry standards, & regulatory requirements are met. Additionally, you will retain full data authority because your data pipeline is run in your environment.
Support in Your Environment
Support in Your Environment
We build and manage streaming, storage, and search in your environment, whether on-prem, in the cloud.
Optimization
Optimization
We optimize your data infrastructure to your specific use case, including but not limited to scaling, performance tuning, and hardware requirements.
24x7 Uptime Support
24x7 Uptime Support
Round-the-clock monitoring and on-call support. Our team responds in under 15 minutes to any production level issue. We guarantee 99.99% uptime for streaming, data storage, and search.
Data Engineering for Fintechs
Data Engineering for Fintechs
Data Engineering for Fintechs
Visit our Data Engineering page for more details on our support services.
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