



Building scalable recommendation systems based on user behavior
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what is sprk Informational
- Learning low-dimensional representations of nodes in large graphs
- Upcoming features and improvements
- Data dependency management in Spark Spark's support for different types of distributed sequence mining algorithms
- Deploying Spark on Kubernetes
- Alternatives to UDFs Working with dates and timestamps in Spark
- Information available in the Spark UI What are Spark logs
- Ensuring accurate and reliable results
- Built-in functions in Spark SQL and DataFrame API
- Ranking and analytical functions Understanding query plans in Spark
- Graph analytics with Spark GraphX The benefits of using Spark for distributed A/B/n testing
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