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Course Outline
- Section 1: Introduction to Big Data / NoSQL
- NoSQL overview
- CAP theorem
- When is NoSQL appropriate
- Columnar storage
- NoSQL ecosystem
- Section 2 : Cassandra Basics
- Design and architecture
- Cassandra nodes, clusters, datacenters
- Keyspaces, tables, rows and columns
- Partitioning, replication, tokens
- Quorum and consistency levels
- Labs : interacting with cassandra using CQLSH
- Section 3: Data Modeling – part 1
- introduction to CQL
- CQL Datatypes
- creating keyspaces & tables
- Choosing columns and types
- Choosing primary keys
- Data layout for rows and columns
- Time to live (TTL)
- Querying with CQL
- CQL updates
- Collections (list / map / set)
- Labs : various data modeling exercises using CQL ; experimenting with queries and supported data types
- Section 4: Data Modeling – part 2
- Creating and using secondary indexes
- composite keys (partition keys and clustering keys)
- Time series data
- Best practices for time series data
- Counters
- Lightweight transactions (LWT)
- Labs : creating and using indexes; modeling time series data
- Section 5 : Cassandra Internals
- understand Cassandra design under the hood
- sstables, memtables, commit log
- Section 6: Administration
- Hardware selection
- Cassandra distributions
- Cassandra Nodes Communication
- Writing and Reading data to/from the storage engine
- Data directories
- Anti-entropy operations
- Cassandra Compaction
- Choosing and Implementing compaction strategies
- Cassandra best practices (compaction, garbage collection,)
- Creating a test Cassandra instance with low memory footprint
- Troubleshooting tools and tips
- Lab : students install Cassandra, run benchmarks
Requirements
- comfortable in Linux environment (navigating command line, editing files with vi / nano)
- For on-site courses, a laptop or desktop with 8 GB of RAM
- For remote courses, a working Cassandra lab will be provided, and nothing is needed except a web browser
14 Hours
Testimonials (5)
Practical examples and instructor's expertise.
Pawel - Santander Wroclaw
Course - Cassandra Administration
Machine Translated
**Course Outline** **Course Title:** Practical Exercises, Method of Knowledge Transfer **Course Duration:** 4 weeks **Course Description:** The aim of the course is to provide students with practical skills and knowledge in the field of software development. Participants will gain experience in working with various tools and technologies used in the industry. The course will focus on hands-on exercises and real-world problem-solving. **Course Objectives:** - Understand the basics of software development - Gain practical experience with popular development tools - Learn to solve real-world problems using software - Develop teamwork and communication skills **Week 1: Introduction to Software Development** - **Day 1: Course Overview** - Introduction to the course structure and expectations - Overview of software development fundamentals - **Day 2: Setting Up the Development Environment** - Installing necessary software and tools - Configuring the development environment - **Day 3: Basic Programming Concepts** - Variables and data types - Control structures (if-else, loops) - Functions and modules - **Day 4: Hands-On Exercise** - Writing simple programs - Debugging and testing - **Day 5: Review and Q&A** - Review of the week's topics - Open forum for questions **Week 2: Advanced Programming Techniques** - **Day 1: Object-Oriented Programming (OOP)** - Classes and objects - Inheritance and polymorphism - **Day 2: Working with Databases** - Introduction to SQL - Basic database operations (CRUD) - **Day 3: API Development** - Introduction to RESTful APIs - Creating and consuming APIs - **Day 4: Hands-On Exercise** - Building a simple web application - Integrating with a database - **Day 5: Review and Q&A** - Review of the week's topics - Open forum for questions **Week 3: Software Development Tools and Technologies** - **Day 1: Version Control with Git** - Introduction to Git - Basic Git commands - **Day 2: Continuous Integration/Continuous Deployment (CI/CD)** - Introduction to CI/CD pipelines - Setting up a CI/CD pipeline - **Day 3: Containerization with Docker** - Introduction to Docker - Creating and managing Docker containers - **Day 4: Hands-On Exercise** - Containerizing a web application - Deploying with CI/CD - **Day 5: Review and Q&A** - Review of the week's topics - Open forum for questions **Week 4: Project Development and Presentation** - **Day 1: Project Planning** - Defining project requirements - Creating a project timeline - **Day 2: Project Development** - Working on the project in teams - Implementing features and functionalities - **Day 3: Project Testing and Debugging** - Testing the application - Debugging and resolving issues - **Day 4: Project Presentation** - Preparing the project for presentation - Presenting the project to the class - **Day 5: Course Review and Final Q&A** - Comprehensive review of the course - Open forum for final questions and discussions
Karol - Santander Wroclaw
Course - Cassandra Administration
Machine Translated
**The Expertise of the Instructor**
Marcin - Santander Wroclaw
Course - Cassandra Administration
Machine Translated
Extensive knowledge of NoSQL environments, not only Cassandra (ex: HADOOP)
Stefan Marcoci - Videotron ltee
Course - Cassandra Administration
The 1:1 style meant the training was tailored to my individual needs.
