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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
    • Selecting columns and types
    • Selecting 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 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
    • Selecting 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

  • Proficiency in the Linux environment (command line navigation, editing files with vi or nano)
  • For on-site courses: a laptop or desktop with 8 GB of RAM
  • For remote courses: a working Cassandra lab is 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 3200 € + VAT*

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