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Course Outline

  • Section 1: Introduction to Big Data / NoSQL
    • Overview of NoSQL
    • The CAP theorem
    • When to use NoSQL
    • Columnar storage
    • NoSQL ecosystem
  • Section 2: Cassandra Basics
    • Design and architecture
    • Cassandra nodes, clusters, and datacenters
    • 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 data types
    • Defining primary keys
    • Data layout for rows and columns
    • Time to live (TTL)
    • Querying with CQL
    • Updating data with CQL
    • Collections (list, map, set)
    • Labs: 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
    • Selecting and implementing compaction strategies
    • Cassandra best practices (compaction, garbage collection)
    • Setting up a test Cassandra instance with a low memory footprint
    • Troubleshooting tools and tips
    • Lab: Installing Cassandra and running benchmarks

Requirements

  • Familiarity with the Linux environment (command line navigation, file editing with vi / nano)
  • For in-person courses, a laptop or desktop with 8 GB of RAM
  • For remote courses, a working Cassandra lab environment will be provided; only a web browser is required
 14 Hours

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Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
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Price per private group, online live training, starting from 2600 € + VAT*

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