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CDP resources

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Tutorials to help build, deploy and scale 

Optimize your time with detailed tutorials that clearly explain the best way to deploy, use, and manage Cloudera products.

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Tutorials to help build, deploy and scale 

Optimize your time with detailed tutorials that clearly explain the best way to deploy, use, and manage Cloudera products.

How to Create a CDP Private Cloud Base Development Cluster

Walk through the installation process for CDP Private Cloud Base (trial version).

Create a Simple Web Application using Cloudera Operational Database

Use Cloudera Operational Database (COD) and Machine Learning (CML) to create a simple web application.

Processing DICOM Files with Spark on CDP

Use Cloudera Data Engineering (CDE) on Cloudera Data Platform (CDP) to transform the DICOM files produced by an MRI into PNG images.

Using NVIDIA RAPIDS to Accelerate AI Training in CDP Hybrid Cloud

Explore how you can leverage NVIDIA's RAPIDS framework using Cloudera Machine Learning (CML), on the Cloudera Data Platform (CDP).


CDP on Azure: Harnessing the Power of Data Flow and Event Processing


Wednesday, December 15, 2021

In this meetup, we will look at how we can use the elastic nature of Azure to scale Data Flows and perform SQL operations in realtime on streaming data from a variety of sources.

CDP Demos

Watch 20-minute demos of Cloudera Data Platform (CDP) experiences to see why more than 2,000 of the world’s leading enterprises partner with Cloudera. Demos include

  • Multistage Data Pipelines with Cloudera Data Platform (CDP) [highlight]
  • Security & Governance with Cloudera Shared Data Experience (SDX)  [highlight]
  • Streaming Data with Cloudera DataFlow (CDF) [highlight]
  • Enterprise Machine Learning with Cloudera Machine Learning (CML) [highlight]
  • Analytics with Cloudera Data Warehouse (CDW) [highlight]
  • Application Development with Cloudera Operational Database (COD) [highlight]

Switching from CPUs to GPUs for NYC Taxi Fare Predictions with NVIDIA RAPIDS

By Jacob Bengtson

This blog demonstrate how easy it is to adapt a script built with popular CPU based Python libraries, like Pandas and Scikitlearn, to instead run with GPU based Python libraries, like cuDF and cuML.

Next Stop – Predicting on Data with Cloudera Machine Learning

By Robert Hryniewicz

This blog series follows the manufacturing and operations data lifecycle stages (Predictive Analytics) of an electric car manufacturer - typically experienced in large, data-driven manufacturing companies.

Next Stop - Building a Data Pipeline from Edge to Insight

By Tui Leauanae and Nicolas Pelaez

This blog series follows the manufacturing, operations and sales data for a connected vehicle manufacturer as the data goes through stages and transformations typically experienced in a large manufacturing company on the leading edge of current technology.

Digital Transformation is a Data Journey From Edge to Insight

By Tui Leauanae, David LeGrand, and Nicolas Pelaez

This is the first in a six-part blog series that outlines the data journey from edge to AI and the business value data produces along the journey. The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives.

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How to Connect Go Applications to Cloudera Operational Database

The Cloudera Operational Database (COD) experience is a managed dbPaaS solution. It can auto-scale based on the workload utilization of the cluster and will be adding the ability to auto-tune (better performance within the existing infrastructure footprint) and auto-heal (resolve operational problems automatically) later this year.

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Spark Structured Streaming Example with CDE

This demo will pull from the Twitter API using NiFi, write to payload to a Kafka topic named "twitter".

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How to Configure K9s for Cloudera Data Engineering

How to use K9s to fetch metrics and logs for Cloudera Data Warehouse Experience , I decided to create the same tutorial for Cloudera Data Engineering. The process is very similar, as you can see below.

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CDP Training

CDP training

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Accelerate success with Cloudera SmartServices expertise

Move from pilot to production quickly, cost-effectively, and securely with hands-on technical insight from Cloudera experts. Our comprehensive portfolio of services helps you shorten time to value from CDP by providing the right offerings and support for everything from launching to accelerating and expanding your deployment.

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CloudSmart: CDP Public Cloud adoption service

Evaluate cloud options, optimize data, and scale analytics, moving workloads to the public cloud with confidence and minimal risk.

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SmartMigrate: Services for moving to Cloudera Data Platform

Upgrade existing CDH and HDP deployments and migrate to CDP Data Center while minimizing risk, business disruptions, and SLA violations. 

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SmartHealth: Platform health check for optimal performance

Ensure peak performance with comprehensive platform deployment and use case implementation health check.

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Central repository for technical content on all Cloudera products.

Find guides, quick starts, manuals, and best practices broken down by product and by task.

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