Cloudera and Carahsoft have partnered to provide a series of self-guided tours for Cloudera's enterprise-ready Artificial Intelligence solutions. Similar to a live demonstration, these in-depth walkthroughs explore Cloudera's wide array of use cases that can help meet you and your organization’s unique IT needs.
Learn about Cloudera’s Artificial Intelligence solutions by starting a self-guided tour below or schedule time with your dedicated Cloudera representative for personalized insights.
Cloudera Government Solutions simplifies data acquisition and delivery, offering public sector agencies the insights needed to stay informed and execute timely decision-making. We collaborate with Federal, State and Local Governments, as well as higher education institutions, to ensure compliance with data security and governance requirements. Cloudera’s open source solutions further the modernization of data architecture across various platforms, meeting Zero Trust requirements for data flow. Public sector agencies can leverage Cloudera to advance their mission through expedited data movement and digital transformation.
Cloudera Data Platform (CDP) stands as a government-centric data cloud tailored for public sector needs. Within CDP, government entities efficiently oversee and fortify the entirety of the data life-cycle, encompassing data collection, enrichment, analysis, experimentation, and predictive endeavors. This hybrid data platform empowers agencies with freedom of choice, allowing them to leverage any cloud, analytics, or data source to fulfill their mission objectives. CDP ensures faster and simpler data management and analytics across diverse data landscapes, delivering optimal performance, scalability, and security.
CDP Machine Learning fosters seamless collaboration among data science teams by offering immediate access to enterprise data pipelines, scalable compute resources, and preferred tools. This streamlined approach extends to deploying analytic workloads into production, empowering agencies to effectively manage machine learning use cases across diverse departments and projects. The platform's suite of native and robust tools for deploying, serving, and monitoring models further optimizes ML workflows, ensuring efficient governance and automation of model cataloging. Additionally, CDP Machine Learning facilitates seamless collaboration across CDP experiences, including CDP Data Warehouse and CDP Operational Database, ultimately enhancing data-driven decision-making capabilities.
Cloudera DataFlow, a cloud-native data service, harnesses the power of Apache NiFi to streamline the entire data movement process, ensuring seamless and secure universal data distribution. With DataFlow Deployments, agencies can gain access to a cloud-native runtime environment that leverages auto-scaling Kubernetes clusters, enabling efficient resource utilization and optimal performance. Moreover, the centralized monitoring and alerting features empower agencies to maintain stringent oversight over their deployments, ensuring compliance with federal regulations and enhancing operational efficiency. This scalable solution allows agencies to independently scale flow deployments as per their requirements, fostering agility and adaptability within their data management infrastructure.
Cloudera Stream Processing (CSP) leverages the combination of Apache Flink and Kafka to provide users with the ability to analyze streaming data and turn it into actionable insights. By offering enterprise-grade stream management and stateful processing capabilities, CSP ensures robust handling of data streams. This solution integrates Kafka as the storage substrate and Flink as the core processing engine, providing a seamless environment for developers, data analysts, and data scientists. With support for interfaces like SQL and REST, CSP enables the development of complex hybrid streaming data pipelines, facilitating the creation of real-time data products, dashboards, and more.
CDP Data Hub, part of Cloudera Data Platform (CDP) Public Cloud, facilitates high-value analytics seamlessly from the Edge to AI within a familiar cloud cluster model. Offering diverse analytical workloads – from streaming and ETL to data marts and machine learning – it enables easy migration of existing workloads or direct cloud-based development. Powered by Cloudera Runtime and build on SDX, this cloud-native solution provides a flexible range of cluster shapes, workload options, templates, and configurations. CDP Data Hub ensures an intuitive experience tailored for users accustomed to traditional architectures.
Accelerate the development and deployment of critical applications with CDP Operational Database, a versatile database-as-a-service built on Apache HBase. This solution facilitates rapid creation of future-proof applications designed to accommodate evolving data needs. With features like auto-scale, auto-heal, and auto-tune, CDP Operational Database streamlines and automates database management, empowering developers to focus on innovation. Integrated seamlessly within Cloudera Data Platform (CDP), it offers end-to-end visibility and security through SDX, while enabling effortless integration with other CDP services such as Data Engineering, Machine Learning, and Data Warehouse.