


Representing and querying relationships between entities
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what is sprk Informational
- Analyzing student data to provide tailored educational experiences
- Extending Spark to read and write data from non-standard systems
- Combining different processing modes efficiently
- Who developed Spark What are the main features of Spark
- Working with Hadoop HDFS, Hive, and HBase
- Deploying Spark on Kubernetes
- Enabling security features in Spark
- Accessing and sharing data with external organizations
- Creating dynamic and insightful visualizations of big data
- Best practices for serverless Spark computing Spark's support for different fault tolerance mechanisms in streaming (e.g., checkpoints, write-ahead logs)
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