Securities Services Data Mesh
Access your Custody, Fund Accounting and Middle Office data via API, Snowflake and Jupyter Notebook.
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Access data through modern distribution channels
Fusion’s REST API makes data download easy. With support for Python and Java SDKs, Fusion’s REST API facilitates smooth integration across platforms. The API serves as a central hub, connecting you to both your internal data and datasets from J.P. Morgan and your preferred data providers.
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Use the Fusion Python library to enhance your experience with the Fusion API. Get data delivered directly into Jupyter Notebook and start seeing results. Spend more time analyzing and less time integrating data.
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Fusion integrates directly with Snowflake, managing the delivery of data into tables and simplifying your data warehousing workflows. Start analyzing your data immediately.
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Subscribe your applications to event notifications, such as when data becomes available for download, or view notifications in your Python notebook. This removes the need for server polling, simplifying application code and avoiding delays.
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"We have found the Fusion platform to provide a stable, modern and reliable way to connect into J.P. Morgan's Securities Services data universe. We were able to establish secure connectivity between Fusion and our proprietary code base within hours. Storebrand is looking forward to expanding the use of Fusion as the platform extends to new areas."
01. FUSION API
Modern REST API.
Effortless data integration into your workflows.
- Data Anywhere
- Discovery
- Download
- Self-Service
- Documentation
Plug your data into any system for an automated workflow
Securities Services Data Mesh ensures that investors can access and utilize the data they need anywhere, anytime.
Fusion’s REST API provides flexibility and precision for your data and is compatible with virtually all modern programming languages and operating systems. Wherever you have a network connection capable of HTTP(S) for remote communication, you can call Fusion's REST API.
Fusion is built to scale. The platform grows and evolves with your business needs. Maintain freedom to choose how you work, with technologies and tools best suited for your people and work environment.
Explore the full data catalog systematically
Connect to the API and access all available data products, filtering for your subscribed datasets.
View metadata attributes for insight into dataset contents. The attributes are linked with the data dictionary for clear definitions.
Fusion ensures that all information required to download can be accessed from code, with all available instances of datasets and their file formats accessible from the API.
Eliminate manual processes
Upgrade to modern data delivery. Transition from traditional file transfers and email and download your data feeds through the Fusion API, with file structures that are consistent with your existing feeds. Automatically feed data into your preferred BI tools and dashboards.
Scale your data strategy with simplicity and consistency.
Experience self-service access
Once you’ve onboarded to the Fusion website, API access is fully self-service. Generate credentials on Fusion’s application registration page and authenticate your connection to the API.
Register multiple applications with unique and secure credentials to cater to a variety of use cases.
Get started in no time with comprehensive developer resources
Fusion was designed with the developer experience in mind. Our online developer resources and documentation provide everything you need to get started with our REST API, SDK and Snowflake integrations.
Detailed documentation includes step-by-step guides for a range of common use cases, including catalog exploration and data download.
The Fusion catalog is written in a DCAT standard, designed to facilitate metadata consumption and aggregation from multiple catalogs to maximize dataset discoverability.
02. PYTHON SDK AND JUPYTER NOTEBOOK
Realize the value of your data.
Jump straight into analysis in your notebook.
- Python SDK
- Jupyter Notebook
- Data Ingestion
- Notebook Gallery
Enhance your experience with the Fusion API
The PyFusion SDK simplifies your experience with the Fusion API in Python, taking care of credential and session management, and efficient parallel data downloads. PyFusion is available on GitHub and can be installed through PyPI.org.
Additionally, a Java SDK is available on GitHub and Maven Central.
Interactive and responsive notebooks. Quickly iterate on code. Visualize your analysis
Start your analysis without time-consuming data wrangling. Create and compile all of the relevant datasets you need. Integrate with live code, develop equations and create visualizations. Fusion allows you to query data freely, see instant results and share analysis with ease.
Ingest data faster using Python
Fusion allows you to compare and consolidate data efficiently. Spend more time analyzing and less time integrating.
Our Python SDK enhances your experience with the Fusion API. Run exploratory analysis, spot patterns and outliers in data, slice and dice data without difficulty.
Integrate data from multiple sources. Do more with your Custody, Fund Accounting and Middle Office data and get straight to analysis.
Get started immediately with Jupyter Notebook
Save time and effort designing and developing Python notebooks. Browse our gallery of pre-made Jupyter notebooks, built to cater to your most important use cases, such as consolidating positions data across your portfolios. Quickly iterate on code and see how results evolve with new insights.
Our wide-ranging notebooks are equipped with detailed documentation, ready-to-use regression tools and charting functions.
03. SNOWFLAKE
Snowflake-ready data for ultimate flexibility.
- Snowflake Compatible
- Table Creation
- Data Updates
- Configurable
Explore Snowflake-compatible datasets
Browse datasets ready for integration into Snowflake tables from the Fusion data catalog. Benefit from hassle-free integration and smooth maintenance as changes are made over time. These datasets are tested for Snowflake compatibility, ensuring they are written correctly into tables and maintained easily over time.
Manage Snowflake table creation automatically
The Fusion Snowflake connector automatically handles table creation as data becomes available. If a table does not exist when loading a dataset into Snowflake, Fusion will create a new table in the configured schema on your behalf, with roles inherited from your chosen configuration.
Receive timely data updates
As soon as updates are made to your private catalog, Fusion feeds the data directly into your Snowflake tables, with minimal delay.
Additionally, Fusion provides the ability to reload historical data anytime.
Save time with intuitive configuration tools
Manage your Snowflake connectivity through the Fusion data catalog. Add new feeds from Fusion to Snowflake. Fusion provides a detailed and intuitive self-service tool to manage your Snowflake connection.
Experience more efficient querying and faster performance. Well-designed schemas make table configuration easy, so you can focus more time on analysis.
04. NOTIFICATIONS
Consume data the moment it's ready.
- Event-Driven
- Common Protocols
- Personalized Notifications
- Automation
Optimize your data workflows
Never miss an update. Fusion eliminates the need for you to call the API to determine if data is available, by enabling event-driven workflow.
Subscribe applications for automatic notification when relevant events occur, such as the publication of a new dataset instance.
Strengthen system integrity and avoid custom network configurations
Easily integrate notifications into your systems using standard web protocols. Eliminate the need for custom network configurations, such as port openings in your internet firewall, to prevent data breaches and system breakdowns. Notification are delivered using Server-Sent Events and HTTPS to ensure security, compatibility and performance in your systems.
Minimize processing latency and get insights faster
Event notifications are tailored specifically for you, removing the need to filter through updates across the catalog.
Receive notifications for subscribed datasets in your own private catalog and the Fusion common catalog.
Eliminate manual processes and drive cost efficiency
Automate ingestion, parsing, validation and integration of data into your systems and processes. Eliminate ad-hoc manual querying of data, reducing cost and errors.
Migrate from a data pull to a data push mode of operation. Achieve fully automated pipelines to minimize processing latency, promote data integrity and get insights faster.
Automated workflow examples:
- Retrieval and download of data
- Data reconciliation and matching
- Validation of messages received, with tight request response
SEE IT IN ACTION
Schedule a demo with our team today.
