Businesses are investing in analytics to solve business challenges and to achieve a competitive advantage. The best insights require pulling large amounts of data from multiple sources and then using data analytics to make better decisions. To obtain the necessary data, businesses are turning to streaming data ingestion and integration. The goal is to collect data about their operations, products, and services, and use the resulting insights to transform business capabilities. Streaming data integration is based on technologies that move data in real time from multiple sources, across on-premise and cloud environments. The integration of quality data from multiple operational sources, which is centralized into a highly scalable repository, is pivotal to data processing and obtaining meaningful insights.
A frequent challenge with managing multiple real-time data streams is the requirement to transform the data into a common format. Modern streaming data pipelines enable this data transformation to occur on the fly, maintaining real-time analytics processing. Join this webinar for a discussion on how to create a modern data architecture for data collection, transformation, monitoring, and delivery of real-time data streams for analytics processing.
Key Topics Discussed
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