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Red Hat JBoss Data Grid Development (JB453VT)
Virtual
Learning Style
Red Hat
Provider
Intermediate
Difficulty
5 Days
Course Duration
Course Info
Certificate
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9:00 AM - 5:00 PM CST
Duration - 0 Days -
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Learn how to install a data grid, develop a cache-based application, cluster and secure caches, and more
Course Information
About this course:
Learn how to install a data grid, develop a cache-based application, cluster and secure caches, and more
Red Hat® JBoss® Data Grid Development (JB453) focuses on the configuration of caches and manipulation of cache entries. Students will learn how to access caches in library and remote modes (clustered and non-clustered). In addition, students will learn how to secure data grids, encrypt data grid communications, and search the data grid.
Course Objective:
- Understand data grids and Red Hat JBoss Data Grid
- Install Red Hat JBoss Data Grid
- Develop a cache-based application
- Access a remote cache
- Cluster caches
- Persist the cache
- Secure the cache
- Search the data grid
Audience:
- Java developers
- DevOps professionals who will administer Red Hat JBoss Data Grid
Prerequisite:
- Java programming skills
- Red Hat JBoss Developer Studio or Eclipse experience
Career & Salary Insight
Outline
More Information
| Brand | Red Hat |
|---|---|
| Subjects | Big Data |
| Lab Access | No |
| Technology | Red Hat |
| Learning Style | Virtual Classroom |
| Learning Type | Course |
| Difficulty | Intermediate |
| Course Duration | 5 Days |
| Language | English |
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Course Expert:
Tom Robertson
(Data Science Enthusiast)
Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.
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