Главная
Study mode:
on
1
What is Cloudera's Shared Data Experience (SDX)?
2
Cloudera Data Hub - What You Should Know
3
Cloudera Data Warehouse - What You Should Know
4
Cloudera Machine Learning - What You Should Know
5
How CDP is Secure by Design
6
From 0 to Query with Cloudera Data Warehouse in CDP
7
Provisioning Workspaces in Cloudera Machine Learning
8
Data Hub - How to Make a Cluster
9
Data Hub - Advanced Options
10
Data Engineering with Data Hub on CDP
11
How to use Experiments in Cloudera Machine Learning
12
Day in the Life of a Cloudera Data Platform Admin
13
How to use ABAC in CDP
14
How to use Column Masking and Row Filtering in CDP
15
How to use ABAC Part 2 - Column Masking and Inheritance
16
Streams Messaging Manager with Data Hub on CDP
17
How to connect Nifi to Kafka in Data Hub on CDP
18
Onboarding Enterprise Users to Cloudera Data Platform
19
Operational Database with HBase on Data Hub in CDP
20
Updated Cloudera Manager Tour
21
Cloudera Data Platform - Data Hub
22
Cloudera Data Platform - Data Warehouse
23
Cloudera Data Platform - Machine Learning
24
Cloudera Data Platform - SDX
25
Populating HBase Using NiFi and Kafka
26
Getting Started with Cloudera Data Engineering on CDP
27
Automated Deployment of Apache Spark Jobs in Cloudera Data Engineering
28
Faster Application Development with Cloudera Operational Database (COD) Demo Highlight
29
Creating and Deploying Models with Cloudera Machine Learning
30
Validating Jet Engine Predictive Models Using Cloudera Machine Learning
31
Data Exploration & Reporting with Cloudera Data Warehouse
32
Accelerate Application Development with the Operational Database Demo Highlight
33
Collecting Data Using NiFi and Kafka on CDP Public Cloud
34
Data Enrichment Using Cloudera Data Engineering
35
Exploring Data & Dashboard Creation on CDP Public Cloud
36
Building Automated ML Pipelines in Cloudera Machine Learning
37
Accelerating Spark with NVIDIA GPUs on Cloudera Data Platform
38
Accelerating AI Training Using GPUs on Cloudera Machine Learning
39
Using NVIDIA RAPIDS to Accelerate AI Training in CDP Hybrid Cloud
40
Processing DICOM Files With Spark on CDP Hybrid Cloud
41
Developing a Basic Web Application using an Operational DB on CDP
42
Create a CDP Private Cloud Base (Trial) Development Cluster
Description:
Explore the comprehensive features and functionalities of Cloudera Data Platform (CDP) in this extensive 2.5-hour tutorial. Dive into Cloudera's Shared Data Experience (SDX), Data Hub, Data Warehouse, and Machine Learning components. Learn how to provision workspaces, create clusters, and implement security measures like ABAC, column masking, and row filtering. Discover data engineering techniques, experiment with Cloudera Machine Learning, and understand the day-to-day responsibilities of a CDP admin. Gain hands-on experience with Streams Messaging Manager, NiFi, Kafka, and HBase. Explore advanced topics such as automated Spark job deployment, predictive model validation, and data exploration using various CDP tools. Master the art of creating ML pipelines, accelerating AI training with NVIDIA GPUs, and developing web applications using Operational Databases. By the end of this tutorial, you'll have a comprehensive understanding of CDP's capabilities and how to leverage them for your data management and analysis needs. Read more

How to Use Cloudera Data Platform

Cloudera
Add to list