This is a practical demonstration of Apache Spark application development.
- [Instructor] Friends, we are now going to start with…Apache Spark on IBM Bluemix.…Go to Data & Analytics pedigree.…Here we can use Apache Spark application…and create an open source cluster…using Apache Spark.…Spark is used with for analytics purpose…with Apache Hadoop and other Hadoop based cluster.…
Hadoop environment, it is a part of Hadoop tree.…We can Work with Notebooks and Spark.…Run the Spark application, provision…and use Jupyter kernels and other services.…Begin check job history.…We can add more Spark applications…and use interactive Spark API.…
Just hit the Manage button on the top left side.…And we can create any Spark application…which could help us to build a data science application…or other analytics tools using R, Python, or Java.…Three languages are basically supported here.…
We have complete documentation available.…
Author
Harshit Srivastava
Released
6/4/2018- Infrastructure with Bluemix
- Platforms: DevOps, mobile, IoT, and more
- Creating a chatbot with Watson Assistant
- Deploying projects on Bluemix
- Continuous delivery
- Block storage
- Containers
- Boilerplate
- Data and analytics
Skill Level Intermediate
Duration
Views
-
1. Introduction to IBM Cloud
-
Welcome8m 46s
-
-
2. Understand Bluemix Category: Infrastructure
-
Compute4m 9s
-
Storage and containers5m 7s
-
Network and security5m 21s
-
-
3. Understand Bluemix Category: Platform
-
Mobile7m 42s
-
DevOps8m 50s
-
Watson services12m 40s
-
Blockchain9m 2s
-
Cloud Foundry apps5m 1s
-
-
4. Create a Chatbot with Watson Assistant
-
Build a chatbot application12m 36s
-
-
5. Deploy a Website or Web App on Bluemix
-
6. DevOps
-
Continuous delivery12m 51s
-
-
7. Create a Block Storage
-
8. Containers
-
Container registry6m 48s
-
-
9. Boilerplates
-
IoT starter2m 49s
-
Ruby Sinatra1m 6s
-
Python Flask12m 47s
-
-
10. Data and Analytics
-
Analytics Engine2m 48s
-
Apache Spark1m 51s
-
Dynamic dashboard1m 43s
-
DB2 SQL database5m 35s
-
Streaming Analytics3m 26s
-
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.
Share this video
Embed this video
Video: Apache Spark