[100% Off] Apache Cassandra for Data Engineers Free Course Coupon

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

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