From 0 to 1: The Cassandra Distributed Database

From 0 to 1: The Cassandra Distributed Database, available at $59.99, has an average rating of 4.22, with 46 lectures, based on 2588 reviews, and has 16184 subscribers.

You will learn about Set up a cluster, keyspaces, column families and manage them Run queries using the CQL command shell Design primary keys and secondary indexes with partitioning and clustering considerations Use the Cassandra Java driver to connect and run queries on the cluster This course is ideal for individuals who are Yup! Engineers and analysts who understand traditional, relational databases and want to move to big data storage systems or Nope! Students who are just starting out understanding databases and have no prior experience with one It is particularly useful for Yup! Engineers and analysts who understand traditional, relational databases and want to move to big data storage systems or Nope! Students who are just starting out understanding databases and have no prior experience with one.

Enroll now: From 0 to 1: The Cassandra Distributed Database

Summary

Title: From 0 to 1: The Cassandra Distributed Database

Price: $59.99

Average Rating: 4.22

Number of Lectures: 46

Number of Published Lectures: 46

Number of Curriculum Items: 46

Number of Published Curriculum Objects: 46

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Set up a cluster, keyspaces, column families and manage them
Run queries using the CQL command shell
Design primary keys and secondary indexes with partitioning and clustering considerations
Use the Cassandra Java driver to connect and run queries on the cluster

Who Should Attend

Yup! Engineers and analysts who understand traditional, relational databases and want to move to big data storage systems
Nope! Students who are just starting out understanding databases and have no prior experience with one

Target Audiences

Yup! Engineers and analysts who understand traditional, relational databases and want to move to big data storage systems
Nope! Students who are just starting out understanding databases and have no prior experience with one

Taught by a team which includes 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data processing.�

Has your data gotten huge, unwieldy and hard to manage with a traditional database? Is your data unstructured with an expanding list of attributes? Do you want to ensure your data is always available even with server crashes? Look beyond Hadoop – the Cassandra distributed database is the solution to your problems.

Let’s parse that.

Huge, unwieldy data: This course helps your set up a cluster with multiple nodes to distribute data across machines

Unstructured: Cassandra is a columnar store. There are no empty cells or space wasted when you store data with variable and expanding attributes

Always available:�Cassandra uses partitioning and replication to ensure that your data is available even when nodes in a cluster go down

What’s included in this course:

The Cassandra Cluster Manager (CCM) to set up and manage your cluster
The Cassandra Query Language (CQL) to create keyspaces, column families, perform CRUD operations on column families and other administrative tasks
Designing primary keys and secondary indexes, partitioning and clustering keys
Restrictions on queries based on primary and secondary key design
Tunable consistency using quorum and local quorum.�Read and write consistency in a node
Architecture and Storage components: Commit Log, MemTable, SSTables, Bloom Filters, Index File, Summary File and Data File
A real world project: A Miniature Catalog Management System using the Cassandra Java driver

Course Curriculum

Chapter 1: You, This Course and Us

Lecture 1: You, This Course and Us

Chapter 2: Introduction: Cassandra as a distributed, decentralized, columnar store

Lecture 1: A Column-Oriented Database

Lecture 2: Requirements For A Product Catalog System

Lecture 3: What Is Cassandra?

Lecture 4: Cassandra Vs HBase

Chapter 3: Install And Set Up

Lecture 1: Install Cassandra (Mac and Unix based systems)

Lecture 2: Install the Cassandra Cluster Manager (Mac and Unix)

Lecture 3: Install Maven On Your Machine

Lecture 4: [For Linux/Mac OS Shell Newbies] Path and other Environment Variables

Chapter 4: The Cassandra Cluster Manager

Lecture 1: Create A Cassandra Cluster On Your Local Machine

Lecture 2: Basic CCM Commands

Chapter 5: The Cassandra Data Model

Lecture 1: Columns And Column Families

Lecture 2: Super Column Family And Keyspace

Lecture 3: Comparing Cassandra With A Relational Database

Chapter 6: Shell Commands

Lecture 1: Connect To Cassandra And Create A Keyspace

Lecture 2: Column Families And Their Properties

Lecture 3: Modify Column Families

Lecture 4: Insert Data Into A Column Family

Lecture 5: Advanced Data Types: Collections And Counters

Lecture 6: Update Simple And Collection Data Types

Lecture 7: Manage Cluster Roles

Chapter 7: Keys And Indexes: Primary Keys, Partition Keys, Clustering Key, Secondary Indexe

Lecture 1: Partition Keys: Distributing Data Across Cluster Nodes

Lecture 2: Partition Keys: Properties

Lecture 3: Clustering Keys: Data Layout On A Node

Lecture 4: Restrictions On Partition Keys

Lecture 5: Restrictions On Clustering Keys

Lecture 6: Secondary Indexes

Lecture 7: Restrictions On Secondary Indexes

Lecture 8: Allow Filtering

Chapter 8: Tunable Consistency

Lecture 1: Write Consistency Levels And Hinted Handoff

Lecture 2: Read Consistency Levels

Lecture 3: Replication Factors And Quorum Value

Chapter 9: Storage Systems

Lecture 1: Overview Of Cassandra Storage Components

Lecture 2: The SSTable And Its Components

Lecture 3: Row Cache And Key Cache

Lecture 4: Anatomy Of A Write Request

Lecture 5: Anatomy Of A Read Request And The Gossip Protocol

Chapter 10: A Mini-Project: A Miniature Catalog Management System In Java

Lecture 1: Overview And Basic Setup

Lecture 2: Create A Session And Execute Our First Query

Lecture 3: Create A Column Family

Lecture 4: Check If A Column Family Has Been Created

Lecture 5: Insert Data Into The Listings Column Family

Lecture 6: Insert Data Into The Products Column Family

Lecture 7: Search For Products

Lecture 8: Delete A Listing

Lecture 9: Update Mulitple Column Families Using Logged Batch

Instructors

Loony Corn
An ex-Google, Stanford and Flipkart team

Rating Distribution

1 stars: 43 votes
2 stars: 71 votes
3 stars: 411 votes
4 stars: 1020 votes
5 stars: 1043 votes

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