Resources

Cloudera is here to help enterprises become more data-driven with Edge to AI and the Enterprise Data Cloud. With the Enterprise Data Cloud comes the Cloudera Data Platform, which allows for data anywhere. With multifunction analytics and enterprise-class security and government, this is exactly the approach they need.

Artificial intelligence (AI) has the power to transform the way we live — improving the quality of our health care, making government more efficient, spurring economic growth, and transforming education for future generations. But AI is also emerging as the prize in an increasingly competitive geopolitical environment, with American rivals investing in AI to shift the military, political, and economic balance of power against the U.S.

Is data the new bacon? The world’s most valuable resource? The fuel that powers the digital enterprise? Whatever metaphor you choose, the point holds that the most successful companies in the world build their business around compelling insights derived from data.

The Cloudera Data Science Workbench (CDSW) is an enterprise data science platform that accelerates data science and machine learning projects by providing a robust yet familiar environment for model building with self-service access to data.

The company has updated the DataFlow software it acquired along with Hortonworks for managing data in motion. Specifically, it has added capabilities for edge data collection, routing and management.

Cloudera DataFlow (CDF) is a comprehensive edge-to-enterprise streaming data platform. It addresses the key data management challenges with streaming and IoT data for all types of enterprises.

This playbook will show you how to implement a data strategy to improve decision-making speed, become more citizen-centric and promote more seamless change management by developing a data-driven culture within your agency.

DataWalk is a commercial-grade Big Data software platform for connecting numerous large data sets, into a single repository for fast visual analysis.

Public sector organizations face complex challenges managing their data. Technology is constantly moving forward, and with this forward motion come new data sources (the Internet of Things and sensor-enabled equipment, social network feeds, data warehouses, software-as-a-service, etc.) and data types (structured and unstructured, raw and processed).

Government agencies must be able to connect, collect, and curate data from a broad spectrum of connected yet disparate data sources – sensors, machines, geo-location devices, social feeds, server logs, and more.

Recently launched, the DLT AnalyticsStack is a public sector focused Big Data, Analytics and Data Science 'solution stack' providing agencies with a scalable reference framework that addresses rapidly evolving big data requirements and use cases. Rather than just piecemealing products, the stack’s 'building-block' approach helps agencies quickly architect, procure and deploy enterprise analytics capabilities ranging from big data infrastructure to advanced analytics and data science capabilities. The DLT AnalyticsStack leverages the solution-oriented, ecosystem integration of the stack vendors to help agencies quickly realize the benefits of advanced analytics capabilities.