Apache Cassandra for Data Engineers
- Description
- Curriculum
- FAQ
- Reviews
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
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6Data Types (Part 1 Hands On)Video lesson
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7Data Types (Part 2 Hands On)Video lesson
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8Data Types (Part 3 Hands On)Video lesson
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9User-Defined TypesVideo lesson
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10Data Definition (DDL) - Create Keyspace [Hands On]Video lesson
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11Data Definition (DDL) - USE Keyspace [Hands On]Video lesson
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12Data Definition (DDL) - ALTER Keyspace [Hands On]Video lesson
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13Data Definition (DDL) - DROP Keyspace [Hands On]Video lesson
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14Data Definition (DDL) - CREATE Table [Hands On]Video lesson
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15Data Definition (DDL) - ALTER Table [Hands On]Video lesson
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16Data Definition (DDL) - DROP Table [Hands On]Video lesson
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17Data Definition (DDL) - TRUNCATE Table [Hands On]Video lesson
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18Data Manipulation (DML) - SELECT Statement [Hands On]Video lesson
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19Data Manipulation (DML) - INSERT Statement [Hands On]Video lesson
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20Data Manipulation (DML) - UPDATE Statement [Hands On]Video lesson
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21Data Manipulation (DML) - DELETE Statement [Hands On]Video lesson
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22Data Manipulation (DML) - BATCH Statement [Hands On]Video lesson
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23Arithmetic Operators [Hands On]Video lesson
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24Secondary Indexes [Hands On]Video lesson
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25FunctionsVideo lesson
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26Scalar FunctionsVideo lesson
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27Aggregate FunctionsVideo lesson
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