This document discusses tools for developers working with Cassandra and DSE Graph databases. It outlines tools for analysis and design, data loading, and development. It introduces the DataStax DevCenter IDE for working with schemas and queries, and DataStax Studio for exploring, analyzing, and visualizing DSE Graph data. Finally, it discusses DataStax drivers, connectors for Spark and Kafka, and tools for testing like CCM and cassandra-unit.

1. Developers, Developers,...
DataStax Tools for Developers
Alex Popescu

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1 End to end development
2 Tools for Analysis & Design
3 Tools for Data loading
4 Tools for Development
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4. Development process
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5. Analysis & Design
Starting on the right foot

6. Analysis & Design
• Architecture discussions and decisions
• Frameworks, libraries, and tools
• Data modeling
• Model validation
• Prototyping or proof of concepts
• Sample data
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7. Data modeling
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8. Working with schemas
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9. Introducing DataStax DevCenter
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• Free visual schema and query IDE
• Manage connections
• Visualize schemas
• Schema wizards
• Best CQL editor
• syntactic and semantic auto-completion
• real-time validations and quick fixes

10. Data loading for PoC/Prototypes
• Professional ETL tools
• Cassandra Loader
<https://github.com/brianmhess/cassandra-loader>
• DSE Graph Loader
<https://docs.datastax.com/en/latest-dse/datastax_enterprise/graph/dgl/
graphloaderTOC.html>
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11. Introducing DataStax Studio for DSE Graph
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• Intuitive web-based developer tool
DSE Graph
• querying
• exploring
• analyzing
• visualizing
• Notebook style
• Advanced Gremlin editor
• Various result type representations
• Pre-packaged visualization

12. What we got with the right tools
• Data model satisfying your requirements
• Schema scripts
• Easily recreate development or testing environments
• Test data
• CQL scripts of DataStax Studio Notebooks for validating & demoing
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13. Development
The alchemy of coding, debugging, testing, tuning

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DataStax Drivers
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Goals of DataStax Drivers
• Consistent set of features across languages
• Asynchronous execution
• Automatic cluster discovery
• Connection pools and automatic reconnection
• Load balancing
• Fault tolerant
• Address resolution
• Flexible to the core
• Consistent terminology
• Cluster -> Session -> PreparedStatement & Statement -> Future or ResultSet
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Other connectors
• ODBC driver with CQL connector
• ODBC & JDBC drivers for Spark
• Spark connector
• Kafka sink connector
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How to choose a connector
• Native CQL connectors for application development
• Extracting data and/or aggregations
• ODBC driver with CQL connector for small aggregations on highly selective queries
• ODBC/JDBC for Spark for large aggregations or large extractions
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Testing
• CCM
• set up local clusters
• CLI
• Docker images
• quickly test specific versions
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• cassandra-unit
• embedded Apache Cassandra
• scassandra
• mock Apache Cassandra server
• admin REST API

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Query debugging & profiling
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DataStax DevCenter DataStax Studio for DSE Graph

20. Q&A
Thank you!

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