Learn everything about Apache Cassandra a modern NoSQL database management system.
This course includes:
- 2 hours of on-demand video
- 4 articles
- 1 downloadable resource
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
4.1
(13 ratings)
7,483 students
Created by Bigdata Engineer
What you’ll learn
- Understanding of the 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
- The statement, Arithmetic Operators, Secondary Indexes, Functions – Scalar and Aggregate
Course content
5 sections • 36 lectures • 1h 51m total lengthCollapse all sections
Introduction4 lectures • 17min
- IntroductionPreview04:46
- What is Apache Cassandra?Preview05:24
- What is No-SQL01:46
- Can Relational Database work for Bigdata04:55
Apache Cassandra Installation1 lecture • 2min
- Installation Steps on Linux machines (Ubuntu)01:31
Cassandra Query Language (CQL)22 lectures • 1hr 7min
- Data Types (Part 1 Hands On)10:39
- Data Types (Part 2 Hands On)06:00
- Data Types (Part 3 Hands On)02:58
- User-Defined TypesPreview04:25
- Data Definition (DDL) – Create Keyspace [Hands On]06:42
- Data Definition (DDL) – USE Keyspace [Hands On]02:45
- Data Definition (DDL) – ALTER Keyspace [Hands On]01:40
- Data Definition (DDL) – DROP Keyspace [Hands On]01:00
- Data Definition (DDL) – CREATE Table [Hands On]03:34
- Data Definition (DDL) – ALTER Table [Hands On]01:30
- Data Definition (DDL) – DROP Table [Hands On]01:41
- Data Definition (DDL) – TRUNCATE Table [Hands On]01:41
- Data Manipulation (DML) – SELECT Statement [Hands On]03:32
- Data Manipulation (DML) – INSERT Statement [Hands On]01:58
- Data Manipulation (DML) – UPDATE Statement [Hands On]01:35
- Data Manipulation (DML) – DELETE Statement [Hands On]01:19
- Data Manipulation (DML) – BATCH Statement [Hands On]02:19
- Arithmetic Operators [Hands On]02:11
- Secondary Indexes [Hands On]02:41
- Functions00:47
- Scalar Functions03:04
- Aggregate Functions02:38
Apache Cassandra Architecture4 lectures • 17min
- Apache Cassandra Architecture Overview06:12
- Storage Engine04:57
- Guarantees04:49
- Snitch00:52
Integration of Apache Spark with Cassandra5 lectures • 10min
- Install Apache Spark On Ubuntu01:24
- Download Code00:02
- Table Creation on Apache Cassandra01:45
- Accessing Cassandra Table in Apache Spark and Writing Data into Cassandra06:00
- Bonus Lecture00:52
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 data centers 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 data centers 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 as “non-SQL” or “nonrelational”) 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, are 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
