Apache Cassandra for Data Engineers

Apache Cassandra for Data Engineers

Apache Cassandra for Data Engineers

Learn everything about Apache Cassandra a modern NoSQL database management system.

Language: english

Note: 4.0/5 (7 notes) 3,520 students

Instructor(s): Bigdata Engineer

Last update: 2022-05-10

What you’ll learn

  • Understanding of basic architecture of Apache Cassandra
  • Installing and Configuring Apache Cassandra
  • Learn Data Modeling with Apache Cassandra
  • Learn Cassandra Query Language (CQL)
  • Learn Data Type, User Defined Types, Create, Use, Alter, Drop – KeySpace , Create, Alter, Drop, Truncate – Table, Select, Insert, Update, Delete and Batch
  • Statement, Arithmetic Operators , Secondary Indexes, Functions – Scalar and Aggregate

 

Requirements

  • Basic Database Management system knowledge is needed

 

Description

Apache Cassandra is a free and open-source, distributed, wide-column store, NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers support for clusters spanning multiple datacenters with asynchronous masterless replication allowing low latency operations for all clients.

One of the most valuable technology skills is the ability to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers support for clusters spanning multiple datacenters with asynchronous masterless replication allowing low latency operations for all clients, Apache Cassandra! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Apache Cassandra!

Cassandra is used by thousands of companies with large active data sets. Adstage, Best Buy, Constant Contact, Coursera, Data Cloud, Outbrain etc. A NoSQL database (originally referring to “non SQL” or “non relational”) is a database that provides a mechanism to store and retrieve data other than the tabular relations used in relational databases. These databases are schema-free, support easy replication, have simple API, eventually consistent, and can handle huge amounts of data.


We will learn:

1) Apache Cassandra

  • Overview

  • NoSQL

2) Apache Cassandra Installation

  • On Ubuntu

3) Cassandra Query Language (CQL)

  • Data Type

  • User Defined Types

  • Create, Use, Alter, Drop – KeySpace

  • Create, Alter, Drop, Truncate – Table

  • Select, Insert, Update, Delete and Batch Statement

  • Arithmetic Operators

  • Secondary Indexes

  • Functions – Scalar and Aggregate

4) Apache Cassandra – Architecture Overview

  • Storage Engine

  • Guarantees

  • Snitch


Cassandra provides:

  • Fault-Tolerant

  • Focus on Quality

  • Performant

  • You’re In Control

  • Security and Observability

  • Distributed

  • Scalable

  • Elastic

  • Hybrid



 

Who this course is for

  • Business analyst, BI Developer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer
  • You should take this course if want to learn Apache Cassandra completely from scratch

 

Course content

  • Introduction
    • Introduction
    • What is Apache Cassandra?
    • What is No-SQL
  • Apache Cassandra Installation
    • Installation Steps on Linux machines (Ubuntu)
  • Cassandra Query Language (CQL)
    • Data Types (Part 1 Hands On)
    • Data Types (Part 2 Hands On)
    • Data Types (Part 3 Hands On)
    • User-Defined Types
    • Data Definition (DDL) – Create Keyspace [Hands On]
    • Data Definition (DDL) – USE Keyspace [Hands On]
    • Data Definition (DDL) – ALTER Keyspace [Hands On]
    • Data Definition (DDL) – DROP Keyspace [Hands On]
    • Data Definition (DDL) – CREATE Table [Hands On]
    • Data Definition (DDL) – ALTER Table [Hands On]
    • Data Definition (DDL) – DROP Table [Hands On]
    • Data Definition (DDL) – TRUNCATE Table [Hands On]
    • Data Manipulation (DML) – SELECT Statement [Hands On]
    • Data Manipulation (DML) – INSERT Statement [Hands On]
    • Data Manipulation (DML) – UPDATE Statement [Hands On]
    • Data Manipulation (DML) – DELETE Statement [Hands On]
    • Data Manipulation (DML) – BATCH Statement [Hands On]
    • Arithmetic Operators [Hands On]
    • Secondary Indexes [Hands On]
    • Functions
    • Scalar Functions
    • Aggregate Functions
  • Apache Cassandra Architecture
    • Apache Cassandra Architecture Overview
    • Storage Engine
    • Guarantees
    • Snitch
  • Integration of Apache Spark with Cassandra
    • Install Apache Spark On Ubuntu
    • Download Code
    • Table Creation on Apache Cassandra
    • Accessing Cassandra Table in Apache Spark and Writing Data into Cassandra
    • Bonus Lecture

 

Apache Cassandra for Data EngineersApache Cassandra for Data Engineers

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