Cassandra for Developers Schulung

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Kurs Code

cassdev

Dauer

21 hours (üblicherweise 3 Tage inklusive Pausen)

Voraussetzungen

  • comfortable with Java programming language
  • comfortable in Linux environment (navigating command line, editing files with vi / nano)

 

Überblick

In diesem Kurs wird Cassandra - eine beliebte No SQL Datenbank. Es werden die Cassandra Prinzipien, die Architektur und das Datenmodell behandelt. Die Schüler lernen die Datenmodellierung in CQL ( Cassandra Query Language) in praktischen, interaktiven Labors. In dieser Sitzung werden auch Cassandra Interna und einige Admin-Themen besprochen.

Zielgruppe: Entwickler

Machine Translated

Schulungsübersicht

  • 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

Erfahrungsberichte

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