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Redash and Cassandra
In Cassandra Lunch #81, we will discuss how we can use Redash to
do BI on Cassandra data
Arpan Patel
Engineer @ Anant
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.
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.
Demo
● Spin up Redash on Digital Ocean
● Spin up Scylla Cloud
● Add data to Scylla and connect to Redash
● Write some queries and create a Dashboard
● Discuss Metabase vs Redash for Cassandra
Strategy: Scalable Fast Data
Architecture: Cassandra, Spark, Kafka
Engineering: Node, Python, JVM,CLR
Operations: Cloud, Container
Rescue: Downtime!! I need help.
www.anant.us | solutions@anant.us | (855) 262-6826
3 Washington Circle, NW | Suite 301 | Washington, DC 20037

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Apache Cassandra Lunch #81: Redash and Cassandra

  • 1. Version 1.0 Redash and Cassandra In Cassandra Lunch #81, we will discuss how we can use Redash to do BI on Cassandra data Arpan Patel Engineer @ Anant
  • 2. 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.
  • 3. 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.
  • 4. Demo ● Spin up Redash on Digital Ocean ● Spin up Scylla Cloud ● Add data to Scylla and connect to Redash ● Write some queries and create a Dashboard ● Discuss Metabase vs Redash for Cassandra
  • 5. Strategy: Scalable Fast Data Architecture: Cassandra, Spark, Kafka Engineering: Node, Python, JVM,CLR Operations: Cloud, Container Rescue: Downtime!! I need help. www.anant.us | solutions@anant.us | (855) 262-6826 3 Washington Circle, NW | Suite 301 | Washington, DC 20037