Cassandra Administration Training Course

Description

• Type

  Course

• Methodology

  Online

Description

This course will introduce Cassandra – a popular NoSQL database. It will cover Cassandra principles, architecture and data model. Students will learn data modeling in CQL (Cassandra Query Language) in hands-on, interactive labs. This session also discusses Cassandra internals and some admin topics.

About this course

Requirements

comfortable in Linux environment (navigating command line, editing files with vi / nano)
Lab environment:
A working Cassandra environment will be provided for students. Students would need a SSH client and a browser to access the cluster.
Zero Install : There is no need to install Cassandra on students’ machines!

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Course programme

• 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,)
  • troubleshooting tools and tips
  • Lab : students install Cassandra, run benchmarks

Additional information

14 hours (usually 2 days including breaks)

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