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Organizations are excited about analyzing ever-increasing amounts of disparate data, and they are often looking at advanced analytics to do so. Underpinning this move toward better insight and action is an evolving data infrastructure that is multiplatform in nature. TDWI sees increasing interest in the cloud, streaming platforms, and data lakes to support diverse data types for analysis. These platforms and others are coming together in modern data architectures that enable analytics and drive analytics success.
The data pipeline is an important part of the analytics ecosystem. This pipeline provides the pathway and processes from data ingestion through movement, cleansing, transformation, loading, integration, preparation, and enrichment of data for analysis. The modern data pipeline involves real-time processing of disparate data, often across multiple clusters. Join Fern Halper, TDWI VP of Research, and Kevin Petrie, Attunity’s Senior Director of Product Marketing, to learn more about the data pipeline and its importance for analytics.
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