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CONNECTED GOVERNMENT

Data in Motion Powers the Next Generationof Government
As government agencies at every level—state, local, and federal—embrace digital transformation, a complete data picture, available in real time,is critical. This “in the moment” experience will drive more effective decision-making and services. Of course gathering this data is not easy. It
requires reaching across bureau, component, agency, and department boundaries and integrating an ever-increasing number of applications,platforms, sensors, and IoT devices. How can government entities transform the way they work with data to protect the public, improve
infrastructure, manage transportation, and more?

Introducing data in motion

Data in motion in practiceThrough a data in motion approach, organizations can tap into data streams that

Putting data in motion allows agencies to:are continually evolving and flowing across government functions. Traditional• Deliver citizen services across the channel of
their choicedata at rest approaches that include databases, data warehouses, and data lakes
are useful for retrospective analysis and queries, but lead to data silos and highbarriers to leverage data across programs or agencies. Data streaming, on theother hand, puts data in motion for real-time use across organizational boundaries.
In this model, the sharing organization publishes a stream of events (includingchanges and deltas) as they occur which are then consumed by any authorizedorganization or system.
Apache Kafka®, an open source distributed data streaming platform capable ofhandling trillions of events per day, has become the foundation of modern dataarchitectures. While the data streaming enabled by Kafka is a powerful tool, it
only offers part of what agencies need to move to a data in motion architecture.
In order to connect, process, and react to data in motion across today’s hybrid
on-prem/cloud environments, there are a number of additional features required,• Integrate disparate data sources for use bymodern applications• Improve decision making with access toreal-time data
• Facilitate inter and intra agency collaboration
while maintaining control of owned data
• Achieve more cost efficient data synchronizationand data processing• Develop and manage smart infrastructure andtransportation programs

Confluent has re-engineered Kafka to be cloud-native, complete, and everywhere,“Rather than storing the data away in silos, where
it’s static, and bringing retroactive questions to thedata, what you want to do is delivery a constantdata stream to the questions in real time.”

allowing developers to focus on building next-generation connected government— will laforest, confluent public sector cto

including security, data governance, management, off-the-shelf integrations, loadbalancing, etc., that lead to costly and high-risk deployments.

services—combining the best of open source innovation with enterprise support formission-critical use cases.

Getting your data in motion requires carefulplanning and the right partner. Confluent offers aReal-time event streams
Mass transit

Rich constituent
experiences

V2x

data streaming platform that supports the flexibility,durability, and security required for complex, largescale operations. Data sharing with Confluent meansthat data consumers can react immediately as

Real-timeevents

data is created at the source. Simultaneously, costs
are optimized by only sharing changes and using aRider 360

Work zones

Data driven
operations

technology designed for sharing data with multiple
downstream consumers.

Ready to get started? Contact a Confluent expert today
Email us at publicsector@confluent.io | Or visit www.confluent.io/government/ for more details© 2023 Confluent, Inc. | Confluent.io1