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04-21-2020
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03-23-2021
10:53 PM
In this video, we’ll go over how you can use both Cloudera Public Cloud to both Ingest data through Cloudera Data Engineering as well as explore it through Hue and Impala within Cloudera Data Warehouse. You'll see how easy it is to run queries that give you insight into your data and how you can use a built-in data visualization tool to create a dashboard to share your results.
More information:
Link to related tutorial: Data Exploration and Reporting with Cloudera Data Warehouse
Link to related meetup: Data Exploration and Dashboard Creation in a Cloud-Based Data Warehouse Cloudera user's page www.cloudera.com/users
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10-19-2020
07:21 AM
1 Kudo
Hey Everyone!
In this video, we’ll go over how to use Cloudera Machine Learning (CML) to validate a complex predictive model. Using a publicly available NASA dataset that simulates how jet engines degrade over time, we’ll use machine learning concepts in a cloud environment to go from simulation data to a cost benefit analysis in just a few steps. We’ll also show how we can run experiments to track specific metrics from many different scenarios that our predictive model could possibly be implemented in.
More information:
Link to Related Tutorial:
https://www.cloudera.com/tutorials/cml-validate-jet-engine-predictive-models.html
Link to Related Blog:
https://blog.cloudera.com/using-cml-to-build-a-predictive-maintenance-model-for-jet-engines/
Link to Related Meetup:
https://www.meetup.com/futureofdata-austin/events/273929240/
Cloudera User's Page
www.cloudera.com/users
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09-24-2020
09:32 PM
Hey Everyone!
In this video, we're going to use Cloudera Machine Learning to run through some housing data and create a simple linear regression model. We'll then take this model and deploy it in Cloudera Machine Learning in order to interact with it through a third-party React application. You'll see how quick and easy it is to create and deploy and interact with your own created model.
More information:
Link to Related Tutorial:
Build, Deploy and Access a Model in Cloudera Machine Learning
Cloudera User's Page:
www.cloudera.com/users
Documentation on Cloudera Machine Learning (CML)
Cloudera Docs / Cloudera Machine Learning
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08-20-2020
05:46 PM
1 Kudo
Hey Everyone!
In this video we're going to go over some more advanced features of the Cloudera Data Engineering Experience. Using some publicly accessible Paycheck Protection Data, you'll see how to automatically setup Spark jobs to deploy by using the CDE CLI, making development and deployment times much quicker and painless. We'll also take the development cycle through to the end and get some visualization of the finished reports using the aforementioned PPP data.
More information:
A tutorial on using the Cloudera Data Engineering CLI
Using CLI-API to Automate Access to Cloudera Data Engineering (Tutorial)
A related Blog post:
Using Cloudera Data Engineering to Analyze the Paycheck Protection Program Data
A related Meetup event:
Creating an Automated Spark Development Environment with Analysis and Logging
Documentation on Cloudera Data Engineering (CDE)
Cloudera Docs / Data Engineering
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08-03-2020
09:43 PM
4 Kudos
Hey Everyone!
In this video, we go over the Cloudera Data Engineering Experience, a new way for data engineers to easily manage spark jobs in a production environment. We'll go over a few of the key features as well as a quick demo on how to launch your first simple python ETL spark job. You'll see how to schedule as well as analyze a job once the run is complete.
More information:
Link to the related Tutorial:
Getting Started with Data Engineering (Tutorial)
See the Release Webinar
Cloudera Data Engineering Experience Release Webinar
Documentation on CDP
https://docs.cloudera.com/
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04-21-2020
12:02 PM
1 Kudo
Hey Everyone,
In this video, we'll show how to create and send streaming data from NiFi into Kafka. This has never been easier, thanks to the Cloudera Data Platform (CDP). We'll show how you can generate mock engine data and stream it in real-time to a Data Hub cluster running Kafka. Once received, you can also see how the data is stored in Kafka using Streams Messaging Manager (SMM) as it waits to be processed by subscribers.
More information:
More information on Cloudera DataFlow (CDF)
https://www.cloudera.com/products/cdf.html
More information on Data Hub
https://www.cloudera.com/products/data-hub.html
Documentation on CDP
https://docs.cloudera.com/
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