Cassandra for Developers 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.
Duration : 3 days
Audience : Developers

About this course

Requirements

comfortable with Java programming language
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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Subjects

• Transactions
• Java API
• Java
• Database
• Database training
• Primary
• Secondary
• Design
• Layout
• Install

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 : Data Modeling Labs : Group design session
  • multiple use cases from various domains are presented
  • students work in groups to come up designs and models
  • discuss various designs, analyze decisions
  • Lab : implement one of the scenario
• Section 6: Cassandra drivers
  • Introduction to Java driver
  • CRUD (Create / Read / Update, Delete) operations using Java client
  • Asynchronous queries
  • Labs : using Java API for Cassandra
• Section 7 : Cassandra Internals
  • understand Cassandra design under the hood
  • sstables, memtables, commit log
  • read path / write path
  • caching
  • vnodes
• Section 8: Administration
  • Hardware selection
  • Cassandra distributions
  • Cassandra best practices (compaction, garbage collection,)
  • troubleshooting tools and tips
  • Lab : students install Cassandra, run benchmarks
• Section 9: Bonus Lab (time permitting)
  • Implement a music service like Pandora / Spotify on Cassandra

Additional information

21 hours (usually 3 days including breaks)

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