Visualization with Solr Math Expressions and Fusion SQL
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The document discusses the integration of visualization tools and expressions with Apache Solr, highlighting the role of streaming and math expressions in data processing. It covers use cases such as data loading, searching, and visualizing data through tools like Tableau and Zeppelin. Additionally, it addresses Fusion SQL as a front-end for fast SQL queries and efficient data analysis.
Visualization with Solr Math Expressions and Fusion SQL
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- 2. Visualization with Streaming Expressions, Math Expressions and Fusion SQL Joel Bernstein Data Engineer, Lucidworks Lucene/Solr Committer, PMC
- 3. Streaming Expressions & Math Expressions Functional programming language that comes with Solr Core use cases: Data Loading Searching, Sampling and Aggregating Transforming Data Analyzing and Modeling Data Visualizing Data
- 4. Fusion SQL A commercial SQL front end to Apache Solr Designed for fast request/response use cases Primary use cases Exploratory data analysis and visualization Scalable SQL datastore for applications Supports stateful JDBC/ODBC connections and stateless http interface
- 6. 80/20 Rule
- 10. Drag and Drop
- 11. Back to the 80/20 Rule, Maybe we can help…
- 12. Visual Data Loading Solr 8.3
- 14. CSV to Table
- 15. Mapping Fields
- 16. Indexing Data
- 17. Visual Grep
- 18. Transform: upper
- 21. Searching, Sampling and Aggregation The Foundation of Statistical Analysis and Visualization
- 22. Searching
- 23. Sampling
- 25. Facet
- 31. Fusion SQL
- 32. Core Components Spark SQL (Thrift Server, SQL Planner and JDBC) Fusion SQL Optimizer Solr Cloud
- 33. SQL Time Series
- 34. Math Expressions over SQL Results Select records using a SQL query Analyze and model results Visualize models
- 35. SQL Time Series Modeling
- 37. Tableau
- 38. Tableau