



Analyzing graph data with Spark Spark and deep learning
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what is sprk Informational
- Training large-scale ML models efficiently
- Data-driven decision making with Spark Spark's role in building data warehouses and data marts
- Different levels of data locality
- Improving the quality and consistency of large datasets
- AWS EMR, Google Cloud Dataproc, Azure HDInsight
- Impact of shuffling on performance What is data locality in Spark
- Tracking experiments and managing environments
- Identifying unusual sensor readings and predicting failures
- Applications in recommendation systems and social network analysis Spark's ability to integrate with data catalogs and metadata stores (e.g., Apache Atlas)
- Analyzing and visualizing geographic data at scale
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