Apache Cassandra Lunch 119: Desktop GUI Tools for Apache Cassandra
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The document discusses various desktop and web-based GUI tools designed to enhance Apache Cassandra for developers and data professionals. It outlines features and advantages of tools like DBeaver, TablePlus, Datagrip, Metabase, Redash, Apache Superset, Apache Zeppelin, and Netflix Data Explorer, emphasizing their ease of use, visualization capabilities, and integration options. Additionally, it highlights Anant Corporation's approach to platform design and management through a structured playbook and framework for customer success.
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Apache Cassandra Lunch 119: Desktop GUI Tools for Apache Cassandra
- 1. Cassandra.Toolkit 11 Amazing Desktop / GUI Tools for Cassandra Developers Making Apache Cassandra Smarter, Faster, Better for Architects, Engineers, Operators Rahul Xavier Singh Anant Corporation Cassandra Lunch / Anant Webinar 11/10/2022
- 2. Playbook Design Framework Approach Desktop / GUI Tools Desktop / Web Apps Tools Agenda
- 3. ARCHITECT noun: architect; chief builder verb: architect; design or make (COMPUTING)
- 4. We help platform owners reach beyond their potential to serve a global customer base that demands Everything, Now.
- 5. We design with our Playbook, build with our Framework, and manage platforms with our Approach so our clients Think & Grow Big.
- 7. Challenge Business Platform Playbook Framework Approach Technology Management Solutions [Data] Services Catalog Fully Managed Service Subscriptions We offer Professional Services to engineer Solutions and offer Managed Services to clients where it makes sense, after an Assessment
- 8. Desktop GUI Tools for Apache Cassandra Desktop Web Tools for Apache Cassandra
- 9. Desktop Tools - Cassandra GUIs for Windows/Linux/Mac
- 10. DBeaver in Action for Cassandra
- 11. TablePlus in Action for Cassandra Getting Started - TablePlus Documentation TablePlus - Awesome-Astra
- 12. DataStation DataStation | The Data IDE for Developers (multiprocess.io) DataStation - Awesome-Astra
- 13. DataGrip Quick start with DataGrip | DataGrip (jetbrains.com) DataGrip - Awesome-Astra
- 14. Hackolade in Action Hackolade - Data modeling tool for NoSQL, storage formats, REST APIs, and JSON in RDBMS
- 15. DBSchema in Action DbSchema Features DbSchema - Awesome-Astra
- 16. Desktop Tools - Web Based Cassandra GUIs
- 17. Metabase ● Simple and fast open source tool for BI and analytics ● Fast Setup - Docker or JAR ● SQL Mode for analysts and data pros ● Create canonical segments and metrics for your team to use ● Send data to Slack or email on a schedule with Pulses ● View data in Slack anytime with MetaBot ● See changes in your data with alerts
- 18. Metabase Cont. ● Rich beautiful dashboards with auto refresh and fullscreen ● Notebook editor ○ Visual joins and multiple aggregations and filtering steps give you the tools to dig deeper into your data. ● Humanize data for your team by renaming, annotating, and hiding fields
- 19. Redash ● Open Source BI tool designed to enable anyone, regardless of the level of technical sophistication, to harness the power of data big and small ● Fast Setup: AWS EC2 AMI, DigitalOcean, Google Compute Engine Image, and Docker ● Browser-based: Everything in your browser, with a shareable URL. ● Ease-of-use: Become immediately productive with data without the need to master complex software. ● Sharing: Collaborate easily by sharing visualizations and their associated queries, enabling peer review of reports and queries. ● Schedule refreshes: Automatically update your charts and dashboards at regular intervals you define.
- 20. Redash Cont. ● Query editor: Quickly compose SQL and NoSQL queries with a schema browser and auto-complete. ● Visualization and dashboards: Create beautiful visualizations with drag and drop, and combine them into a single dashboard. ● REST API: Everything that can be done in the UI is also available through REST API. ● Broad support for data sources: Extensible data source API with native support for a long list of common databases and platforms. ● Alerts: Define conditions and be alerted instantly when your data changes.
- 21. Apache Superset ● Open Source BI tool for Data Visualization and Data Exploration ● Easy, code-free, user flows to drill down and slice and dice the data underlying exposed dashboards. The dashboards and charts act as a starting point for deeper analysis. ● A state of the art SQL editor/IDE exposing a rich metadata browser, and an easy workflow to create visualizations out of any result set. ● An extensible, high granularity security model allowing intricate rules on who can access which product features and datasets. Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, ...)
- 22. Apache Superset Cont. ● An intuitive interface to explore and visualize datasets, and create interactive dashboards. ● A wide array of beautiful visualizations to showcase your data. ● Fast loading dashboards with configurable caching ● A lightweight semantic layer, allowing to control how data sources are exposed to the user by defining dimensions and metrics ● Out of the box support for most SQL-speaking databases
- 23. Apache Zeppelin ● Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala, Python, R and more. ● Single User: Local Spark, 6 Built-in visualizations, Display system, Dynamic form, Multiple backends are supported. ● Multi-User: Zeppelin supports Multi-user Support w/ LDAP. ● More than 20 Different Interpreters Available including Cassandra, JDBC (Spark SQL), and Spark
- 24. Apache Zeppelin Cont. ● Multi-purpose Notebook ○ Data Ingestion ○ Data Discovery ○ Data Analytics ○ Data Visualization & Collaboration ● Allows users to fork notebooks, download results. ● Basic visualizations available and more that can be found online. ● Apache Zeppelin with Spark integration provides ○ Automatic SparkContext and SQLContext injection ○ Runtime jar dependency loading from local filesystem or maven repository. Learn more about dependency loader. ○ Canceling job and displaying its progress ● Give people the ability to do pivot charts with the data queries. ● Setup forms to let people put values and get results.
- 25. Netflix Data Explorer Netflix Data Explorer - Awesome- Astra Exploring Data @ Netflix. By Gim Mahasintunan on behalf of Data… | by Netflix Technology Blog | Netflix TechBlog
- 26. Any Questions?
- 27. 27 Thank you and Dream Big. Hire us - Design Workshops - Innovation Sprints - Service Catalog Anant.us - Read our Playbook - Join our Mailing List - Read up on Data Platforms - Watch our Videos - Download Examples
Editor's Notes
- #28: What makes a good story? Once you get good at it, presenting becomes easy. Shared stories with people we’ve bonded with (community for example). This format is not good for Metastories.