In this repository, you'll find everything from the DataStax Developer Day event. There are materials used during presentations, hands-on exercises and reference applications. Feel free to bookmark this page for future reference!
| Time | Title |
|---|---|
| 10:30 AM - 12:15 PM | Core Cassandra |
| 01:00 PM - 02:45 PM | Cassandra Data Modeling |
| 03:00 PM - 04:45 PM | Cassandra Application Development |
| Time | Title |
|---|---|
| 10:30 AM - 12:15 PM | DSE Search |
| 01:00 PM - 02:45 PM | DSE Analytics |
| 03:00 PM - 04:45 PM | DSE Graph |
| Time | Title |
|---|---|
| 01:00 PM - 02:45 PM | DSE Overview |
| 03:00 PM - 04:45 PM | DSE Operations & Security |
Or use Docker :
docker run -e "DS_LICENSE=accept" -it -d -p 9042:9042 --name dse datastax/dse-server -s -g
- Install DataStax Studio
- The notebooks below should be imported and opened in DataStax Studio
Or use Docker :
docker run -e "DS_LICENSE=accept" -it -d -p 9091:9091 --link dse:dse datastax/dse-studio
If you are using docker DSE Server you may have to change the KeyspaceDefinition with
CREATE KEYSPACE IF NOT EXISTS killrvideo WITH REPLICATION = { 'class' : 'SimpleStrategy', 'replication_factor' : 1 };
| Notebooks | Setup Notes |
|---|---|
| Core Cassandra First Touch | - Data should be loaded in the killrvideo keyspace. |
| Core Cassandra Data Loading | - Data should be loaded in the killrvideo keyspace.- Uses the file movies.csv, located in this repo under data/csv/movies.csv. |
| Core Cassandra Data Availability | - This notebook exercise can only be done with a three-node DSE cluster. - Recommended to drop the killrvideo keyspace, if it exists.- Uses a hard-coded datacenter DC1; replace that with your own datacenter name, where needed.- Install and setup DataStax OpsCenter to monitor your cluster. |
| Notebooks | Setup Notes |
|---|---|
| Search Queries | - Needs the Search workload enabled. - Data should be loaded in the killrvideo_search keyspace. |
| Text Search | - Needs the Search workload enabled. - Data should be loaded in the killrvideo_search keyspace. |
| Notebooks | Setup Notes |
|---|---|
| Intro | - Data should be loaded in the killrvideo keyspace. |
| Cassandra-Land Project | - Data should be loaded in the killrvideo keyspace. |
| Notebooks | Setup Notes |
|---|---|
| Intro | - Needs the Analytics workload and Always-On SQL enabled. - Data should be loaded in the killrvideo keyspace. |
| ETL | - Needs the Analytics workload and Always-On SQL enabled. - Data should be loaded in the killrvideo keyspace. |
| DataFrames | - Needs the Analytics workload enabled. - Data should be loaded in the killrvideo keyspace. |
| Notebooks | Setup Notes |
|---|---|
| Prepared Statements | - The KillrVideo reference app should be set up using the app-dev-days-exercises branch. |
| Accessors | - The KillrVideo reference app should be set up using the app-dev-days-exercises branch. |
| Notebooks | Setup Notes |
|---|---|
| DSE Graph DataStax Developer Day | - Needs the Graph and Search workload enabled. - A warning message will pop out when you open the notebook saying the graph hasn't been created. Click on the button to create the graph. - The location to the KillrVideo.kryo file in Step 3 should be edited to point to its location in your local repo, under data/graph/KillrVideo.kryo. |
| DSE Graph DataStax Developer Day with answers | - Needs the Graph and Search workload enabled. - A warning message will pop out when you open the notebook saying the graph hasn't been created. Click on the button to create the graph. - The location to the KillrVideo.kryo file in Step 3 should be edited to point to its location in your local repo, under data/graph/KillrVideo.kryo. |
| Notebooks | Setup Notes |
|---|---|
| Installing DSE | - Needs three separate instances, DSE binary tarball, and DataStax OpsCenter. - Scripts mentioned in the exercise are not available since they are specific to DataStax environments. |
| Securing DSE | - Needs a three-node DSE cluster set up by the LifeCycle Manager in DataStax OpsCenter. - Scripts mentioned in the exercise are not available since they are specific to DataStax environments. |
- Get involved more tutorials here DataStax Academy
- Learn more about KillrVideo
- More sample codes HERE