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

Delivery Options

Private Group Training

Our identity is rooted in delivering exactly what our clients need.

  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

Contact us for an exact quote and to hear our latest promotions


Public Training

Please see our public courses

Testimonials (2)

Provisional Upcoming Courses (Contact Us For More Information)

Related Categories