Logosphere Whitepaper (coming soon)


As enterprises begin to invest heavily in extracting analytical and operational value from data, the cost of building integrations, maintaining middleware, and managing data silos is skyrocketing. This webinar will break down the pitfalls of the "Application-centric mindset" and the opportunities that lie within re-building enterprise technology with data-centricity. Data-centricity offers new opportunities to scale digital transformation and build disruptive business models. By arming data features traditionally pushed to middleware, apps, or even users, we can realize its maximum value without breaking the bank, introducing security vulnerabilities, or maintaining unnecessary middleware. Dave McComb, author of Software Wasteland, joins Brian Platz, co-founder of Fluree to introduce data-centricity.


Forward-thinking enterprises are focused on building sources of truth - but there is no "truth" without time. This webinar will focus on how Fluree treats time as a first-class citizen in its architecture by expanding its transactional system into a time-based ledger of data events. By baking "time" in as an integral component of Fluree's system, we can manage data in a historical context. Fluree's ledger system unlocks a wide range of new capabilities in data collaboration, data analysis, and data audit.


We''ll cover the key benefits to time and immutability in Fluree's ledger system: 

Time Travel - Any query that can be issued to Fluree can be issued against a specific moment in time in the history of its data. This capability enables instant time travel to any historical version of the database and allows data to always be reproducible and auditable. Excellent for debugging batch processes, solving customer support issues, or understanding data revision history.

Data collaboration - Multiple systems (or humans) querying transactional data need a consistent view of that information without the possibility that it could have served up older or newer versions to different consumers. Fluree allows microservices architectures or data scientists that leverage a source of truth to lock in a time for reliable results.

Data-As-Events - This will replace your data change capture process - Fluree can listen for changes in data and kick off sophisticated notification or command processes as a result. No need to build custom middleware - this can all happen under the hood!


Data is becoming a versatile asset - rather than sitting behind a firewall powering a single application, it is used and reused across multiple contexts, shared via webs of APIs, and duplicated into data silos for analytics. With this compounding increase in potential attack surfaces, it's time we re-think how and where we secure our data to support the data-centric world enterprises are stepping into.


Brian Platz, Co-founder at Fluree, will provide an overview on data-centric security: the practice of storing and executing data security at the data layer, rather than deferring permission logic to APIs and application servers -- effectively allowing data to "defend itself" under a set of enforceable conditions.


By storing permission logic as meta-data alongside RDF data at the source, we can securely leverage and share information with a zero risk of API leakage, opening up a world of data management and data analytics possibilities. Fluree architects can build in write and read permission logic directly into the ledger as data itself, providing an unprecedented yet simplified level of control over information.


At scale, this security approach mitigates risk across your data governance, saving time and money in development and maintenance as your data volume grows.


The era of cloud computing has provided an opportunity for data architectures that are more dynamic, elastic, and scalable. However, old infrastructure-focused systems were not designed to take advantage of cloud computing. Enterprises in 2021 will need a new set of tools to deliver high-quality data at the speed and scale of business. This webinar will cover how Fluree's unique architecture allows for new opportunities in edge scalability without the tradeoffs. How? Fluree's distributed ledger maintains all-state for the platform, freeing the graph database to run fully stateless as a scalable data delivery network. Fluree’s database engine runs on the JVM or JavaScript and is capable of operating in-memory; it can scale dynamically and runs easily in containers or even as an in-browser web worker. These databases enable powerful analytical queries and are multi-modal, presenting native query results for GraphQL, SQL, W3C SPARQL, and JSON-based queries. Because of how quickly these analytically-powerful ‘state-less’ databases can be spun-up and spun-down, Fluree simplifies the edge deployment of temporary data compute environments.