Data Infrastructure with Apache Cassandra E-Learning Training 

In de Data Infrastructure with Apache Cassandra LearningKIT verken je Apache Cassandra, het creëren van Cassandra Clusters en de Cassandra Query Language. Je zult Cassandra installeren en beschikbaar maken met Docker, Cassandra clusters maken en ze inspecteren met behulp van nodetool utility, en gebruik maken van het datacenter in Cassandra.

Je leert ook Cassandra Query Language om tabellen te organiseren in keyspaces, replicatiestrategie en configuraties te specificeren, tabellen aan te maken en gegevens in te voegen en bij te werken. U leert ook werken met CSV- en JSON-gegevens, tabelpartitionering en clustering van sleutelkolommen, en ook het uitvoeren van aggregaties op de gegevens, en het gebruik van door de gebruiker gedefinieerde functies.

Deze LearningKit met meer dan 7 leeruren is verdeeld in drie sporen:

Demo Data Infrastructure with Apache Cassandra Training

Cursusinhoud

Track 1: Intro to Data Infrastructure

In this track, the focus will be on data infrastructure in an organization, data mesh architecture, data tools, messaging platforms, and data stores.
Courses (½ hour +):

Setting up the Data Infrastructure in an Organization

Course: 46 Minutes

• Course Overview
• Data Infrastructure in an Organization
• Data Mesh Architecture
• Tools for Data Management
• Messaging Platforms
• Data Stores
• Course Summary

Track 2: Apache Cassandra

In this track, the focus will be on working with Apache Cassandra. Apache Cassandra is a decentralized, distributed, wide-column store that provides great performance at petabyte-scale data for specific types of data and operations. Cassandra is great for data that can be accessed via unique keys and where each row has potentially very different column attributes.
Courses (7 hours +)

Working with Apache Cassandra: Getting Started

Course: 1 Hour, 25 Minutes

• Course Overview
• The Benefits of Wide-column Stores
• The Apache Cassandra Architecture and Features
• Installing Apache Cassandra
• Starting Apache Cassandra
• Using Apache Cassandra with Docker
• Creating a Multi-node Cassandra Cluster with Docker
• Creating a Multi-node Cluster Using Docker Compose
• Changing the Snitch in Cassandra
• Creating a Cluster with Multiple Datacenters
• Course Summary

Working with Apache Cassandra: Using Replication, Consistency, & CQL

Course: 1 Hour, 49 Minutes

• Course Overview
• Using Replicas in Apache Cassandra
• Performing Replication with Multi-DC Clusters
• Creating Replicas in Multi-DC Clusters
• Apache Cassandra Consistency
• Read Consistency
• Viewing the Consistency of Cassandra Clusters
• Executing Basic CQL Commands
• Understanding Cassandra Table Settings
• Creating and Modifying Tables in CQL
• Executing Queries on Cassandra Tables
• Performing Updates on Cassandra Tables
• Tracing Query Information
• Course Summary

Working with Apache Cassandra: Using Collection & User-defined Fields

Course: 1 Hour, 5 Minutes

• Course Overview
• Using Set Fields in Cassandra
• Querying and Modifying Set Fields in Cassandra
• Using List Fields in Cassandra
• Storing Key-value Pairs in Maps
• Using Nested Collections
• Using User-defined Types
• Using Counter Fields
• Reading and Writing Data from CSV Files
• Using Data in JSON Format
• Course Summary

Working with Apache Cassandra: Partitioning & Clustering Keys

Course: 1 Hour, 42 Minutes

• Course Overview
• Partitioning Data
• Data Modeling in Apache Cassandra
• Features of Apache Cassandra
• Understanding Partitioning and Clustering Keys
• Viewing the Partitions in Tables
• Using Partitioning and Clustering Keys
• Partitioning and Clustering Data
• Using Multiple Partition Keys
• Adding Rows to Tables with Primary Keys
• Performing ORDER BY Operations
• Querying Tables with Primary and Clustering Keys
• Querying Tables with Primary Keys
• Course Summary

Working with Apache Cassandra: Indexes, Aggregations, & Programmatic Access

Course: 1 Hour, 2 Minutes

• Course Overview
• Indexes on Columns
• Querying Tables with Indexes
• Performing Grouping and Aggregations
• Creating User-defined Functions (UDFs)
• Running Atomic Queries
• Connecting to Cassandra from Programmatic APIs
• Modifying Cassandra Tables from Java
• Updating and Deleting Data from Java
• Course Summary

Assessment:

• Final Exam: Apache Cassandra