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IBM watsonx.data on IBM Cloud Pak for Data 4.8: Modernize Your Data Warehouse and Streamline Data Analytics
Course Description
Overview
This course offers data engineers more experience with watsonx.data on Red Hat OpenShift Container Platform. You learn to gain knowledge in the areas such as infrastructure management, data management, running SQL statements. You gain skills in ingesting data, creating schemas, running queries that combines data from multiple data sources, and rolling back a table to previous point in time.
Objectives
By the end of this course, you will be able to:
- Use the watsonx.data console to collect, store, query, and analyze all your enterprise data.
- Extend the functionality of the watsonx.data by seamlessly integrating with Spark Analytic Engine to run your analytics and ETL workloads on all of your data across any environment.
- Manage infrastructure access and data access policies using Access Control
- Use the Presto watsonx.data's user interface (UI) and command line interface (CLI) for effective execution of SQL queries
- Explore MinIO Object Storage to load or store data
- Create different database connection to run federated queries and migrate data to watsonx.data
Audience
Data Engineers, Data Administrators, Data Analysts
Prerequisites
- Explain the purpose of watsonx.data and the value that it brings to the business
- Describe the architecture and components of watsonx.data
Before you start this course, you should be able to complete the following tasks:
Topics
- Course introduction
- Introduction to watsonx.data
- Using the watsonx.data console
- Data warehouse modernization
- Incorporate operational data for analytics
- Review and evaluation
Recognition
When you complete the Instructor-Led version of this course, you will be eligible to earn a Training Badge that can be displayed on your website, business cards, and social media channels to demonstrate your mastery of the skills you learned here.
Learn more about our IBM Cloud Badge Program →Related Courses
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Troubleshooting IBM Cloud Pak for Data (V4.5)
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- Delivery Format: Classroom Training, Online Training
- Price: 815.00 USD
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Configuring IBM Cloud Pak for Watson AIOps Event Manager
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This course is eligible for the IBM watsonx.data on IBM Cloud Pak for Data 4.8: Modernize Your Data Warehouse and Streamline Data Analytics - Code: 6XL946G
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Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
THIS IS A SELF-PACED VIRTUAL CLASS. AFTER YOU REGISTER, YOU HAVE 365 DAYS TO ACCESS THE COURSE.
This is a Self-Paced virtual class; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please enroll in the Instructor-Led version instead. Minimal technical support is provided to address issues with accessing the platform or problems within the lab environment.
Before you enroll, review the system requirements to ensure that your system meets the minimum requirements for this course. AFTER YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.
After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. A confirmation email will contain your online link, your ID and password, and additional instructions for starting the course.
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If the course requires a remote lab system, the lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system. Note: This does not add additional days to your Lab Environment time frame.
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