Huawei - Cloud Migration Business Development
English | Tutorial | Size: 580.53 MB

Last updated 6/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 11.65 GB | Duration: 30h 14m
Everything you need to know about how to be a successful Technical Consultant (now includes AWS Azure and GCP)

Huawei - Cloud Management Scenario - Huawei CloudCampus Solution
English | Tutorial | Size: 257.13 MB

Released 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 4h 10m | Size: 566 MB
Need to move to the cloud or integrate existing environments with Oracle Cloud Databases? An Oracle Cloud Database Migration and Integration Certified Professional has the skills and in-depth knowledge to perform migrations of database instances to Oracle Cloud, Autonomous Database, and Oracle Cloud Database Services, and implement data integration along the way. In this course from Oracle University, learn more about the requirements and architecture of Oracle Cloud Database as you prepare for the Oracle Cloud Database Migration and Integration 2022 Certified Professional certification exam.

Huawei - Cloud Migration Basics
English | Tutorial | Size: 347.99 MB

Huawei - Cloud Migration
English | Tutorial | Size: 264.27 MB

Huawei - Cloud Migration Solution SA
English | Tutorial | Size: 646.28 MB

Released: 11/2022
Duration: 3h 49m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 618 MB
Level: Intermediate | Genre: eLearning | Language: English
Is Google Cloud Platform (GCP) right for your business? Explore the offerings of this leading cloud services provider. This course is designed for IT professionals—architects, network admins, and technology stakeholders—evaluating GCP for their organizations as well as those tasked with getting apps up and running on the Google cloud. Learn how to set up an account and use the console, APIs, Cloud Shell, and other GCP tools. Then explore the core services—serverless computing, data storage, and machine learning—and the developer tools that Google provides for building your own custom solutions. Along the way, instructor Lynn Langit shows how to use GCP to manage virtual machines, Docker containers, Kubernetes clusters, functions, relational data stores, NoSQL data, and more. She also shares practical tips for saving money and planning deployments, and reviews examples of common architectural patterns.

Released: 11/2018
Duration: 39m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 81 MB
Level: Intermediate | Genre: eLearning | Language: English
Predictive analytics use historic data to look forward, enabling organizations to make better decisions. However, making accurate predictions from big data can be an overwhelming task. Enter Google Cloud Platform (GCP), a suite of cloud-computing services that bring scalability, elasticity, and automated machine learning to predictive analytics. This course—one of a series by data scientist Kumaran Ponnambalam—shows how to apply the power of GCP to generate predictions for your business. Start off by exploring the different tools and features for predictive analytics in GCP, including Cloud Dataproc, Cloud ML Engine, and the machine learning APIs such as Cloud Translation, Cloud Vision, and Cloud Video Intelligence. Then explore learn how to build, train, and deploy models to create predictions. Plus, learn best practices for cost control, testing, and performance monitoring of predictive models.

Released: 11/2018
Duration: 57m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 134 MB
Level: Intermediate | Genre: eLearning | Language: English
Cloud computing brings unlimited scalability and elasticity to data science applications. Expertise in the major platforms, such as Google Cloud Platform (GCP), is essential to the IT professional. This course—one of a series by cloud engineering specialist and data scientist Kumaran Ponnambalam—shows how to conduct exploratory data analytics with GCP. First, review the concepts of segmentation and profiling. Then get hands on, as you learn to perform both text and visual analysis of data using tools provided by GCP: Cloud Datalab, BigQuery, Cloud Dataflow, and Data Studio. Finally, look at an end-to-end use case that applies what you've learned in the course.