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The Cloudera Data Platform is secure by design, taking all of the hard work of installing and configuring security out of your hands. Cloudera's SDX allows users to sign in using their company's single sign on provider and have easy access to the tools and data available in CDP within the security limits of the organization. Learn how CDP is built with Enterprise-Strength security in mind.

Cloudera’s Shared Data Experience (SDX) provides Enterprise-Strength security with unified governance and compliance that allows you to get insights from your data faster. SDX is not a product, but instead a design philosophy incorporated into all Cloudera products. Learn what technologies make SDX possible and how this design philosophy can empower your organization.

Financial services institutions lost over $1.5 trillion in combined revenue to financial crimes in 2018, and is accelerating ever rapidly.

Cloudera Edge Management (CEM) is an edge management solution made up of edge agents and an edge management hub. It manages, controls and monitors edge agents to collect data from edge devices and push intelligence back to the edge. CEM is a key part of the Cloudera DataFlow (CDF) platform.

From connected consumers to connected assets and connected supply chains, data and analytics are truly re-shaping the retail landscape. Today's retailer's are using data as an asset incorporating new streaming sources of information and combining them with traditional data and channels to strengthen customer engagement, optimize the supply chain, and improve forecasting and merchandising.

How to use profiles in HCP to identify and analyze authentication data and alerts.

How to use HCP to filter, analyze, and investigate alerts.

A smart factory can gather a significant amount of data generated by thousands of sensors embedded in equipment in the manufacturing process. The enabled smart factory optimizes maintenance, anticipates failures and helps make the manufacturing process more efficient.

Cloudera Fast Forward Labs’ latest applied machine learning research report is about boosting natural language processing (NLP) with transfer learning. Organizations large and small have volumes of valuable data stored as free-form text yet the scale of data combined with the complexities of language processing makes using it to drive insight and automation a challenge.