Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
- Section 1: Introduction to Big Data / NoSQL
- NoSQL overview
- CAP theorem
- Appropriate use cases for NoSQL
- Columnar storage
- NoSQL ecosystem
- Section 2: Cassandra Basics
- Design and architecture
- Cassandra nodes, clusters, and data centers
- Keyspaces, tables, rows, and columns
- Partitioning, replication, and tokens
- Quorum and consistency levels
- Labs: Interacting with Cassandra using CQLSH
- Section 3: Data Modeling – Part 1
- Introduction to CQL
- CQL data types
- Creating keyspaces and tables
- Selecting columns and types
- Defining 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
- Understanding Cassandra's underlying design
- SSTables, memtables, and commit log
- Section 6: Administration
- Hardware selection
- Cassandra distributions
- Cassandra node 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 a low memory footprint
- Troubleshooting tools and tips
- Lab: Students install Cassandra and run benchmarks
Requirements
- Proficiency in a Linux environment (command-line navigation, file editing with vi or nano)
- For on-site courses: A laptop or desktop equipped with at least 8 GB of RAM
- For remote courses: A pre-configured Cassandra lab will be provided; only a web browser is required
14 Hours
Testimonials (2)
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.
