HYBRID STREAMING DATA PIPELINES POWERED
BY CLOUDERA STREAM PROCESSING
Prevent millions of dollars in loss due to financial fraud by detecting it proactively.
Enterprises across retail, financial services, and other sectors struggle to protect customer data and prevent financial fraud from happening. Cloudera Streaming Processing's capabilities can process real-time streams of customer transactions, identify patterns, create predictive alerts, and uncover actionable intelligence to prevent potential fraud.
Real-time customer analytics improves engagement, retention, and satisfaction.
Every organization needs real-time analytics to improve customer engagement but struggles to implement it due to an excessive volume of data. Cloudera Stream Processing enables customer analytics by processing massive amounts of data with subsecond latencies while detecting customer interactions and recommending better offerings in real time.
Handle millions of trades a second and scale to petabytes of financial information.
Financial stock exchanges face challenges with customer demands for real-time reporting and faster SLA requirements. Yet, petabytes of data must be processed to deliver these services. Cloudera Streams Messaging can easily stream high volumes of data so stock exchanges can quickly create market-driven real-time analytics and meet the increasingly demanding SLAs.
Modernize your logging infrastructure to get real-time analytics.
Log data is increasingly valuable to enterprises. But IT organizations are struggling with effective log collection processes, distributing relevant information upstream, and generating key metrics. Cloudera Stream Processing's capabilities help scale up log processing, deliver real-time insights across the firm, and significantly reduce operating costs.