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30-Day Money-Back Guarantee

This course includes:

  • 6 hours on-demand video
  • 93 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
Development Database Design & Development Apache Cassandra

From 0 to 1: The Cassandra Distributed Database

A complete guide to getting started with cluster management and queries on Cassandra
Rating: 4.0 out of 54.0 (1,403 ratings)
9,752 students
Created by Loony Corn
Last updated 10/2016
English
English [Auto]
30-Day Money-Back Guarantee

What you'll 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
Curated for the Udemy for Business collection

Course content

10 sections • 46 lectures • 5h 54m total length

  • Preview01:45

  • Preview10:39
  • Requirements For A Product Catalog System
    08:07
  • What Is Cassandra?
    08:33
  • Cassandra Vs HBase
    04:37

  • Install Cassandra (Mac and Unix based systems)
    04:34
  • Install the Cassandra Cluster Manager (Mac and Unix)
    02:20
  • Install Maven On Your Machine
    02:20
  • [For Linux/Mac OS Shell Newbies] Path and other Environment Variables
    08:25

  • Preview11:54
  • Basic CCM Commands
    07:04

  • Preview08:02
  • Super Column Family And Keyspace
    07:17
  • Comparing Cassandra With A Relational Database
    04:19

  • Preview06:54
  • Column Families And Their Properties
    12:02
  • Modify Column Families
    02:42
  • Insert Data Into A Column Family
    06:52
  • Advanced Data Types: Collections And Counters
    10:56
  • Update Simple And Collection Data Types
    15:54
  • Manage Cluster Roles
    05:01

  • Partition Keys: Distributing Data Across Cluster Nodes
    12:14
  • Preview05:08
  • Clustering Keys: Data Layout On A Node
    03:36
  • Restrictions On Partition Keys
    14:38
  • Restrictions On Clustering Keys
    09:12
  • Secondary Indexes
    08:32
  • Restrictions On Secondary Indexes
    08:52
  • Allow Filtering
    02:27

  • Write Consistency Levels And Hinted Handoff
    12:18
  • Preview11:18
  • Replication Factors And Quorum Value
    08:14

  • Overview Of Cassandra Storage Components
    06:38
  • The SSTable And Its Components
    09:44
  • Preview03:14
  • Anatomy Of A Write Request
    08:32
  • Anatomy Of A Read Request And The Gossip Protocol
    07:25

  • Preview04:28
  • Create A Session And Execute Our First Query
    07:39
  • Create A Column Family
    03:27
  • Check If A Column Family Has Been Created
    04:59
  • Preview09:13
  • Insert Data Into The Products Column Family
    09:59
  • Search For Products
    13:32
  • Delete A Listing
    04:17
  • Update Mulitple Column Families Using Logged Batch
    14:42

Requirements

  • The basics of SQL and traditional relational databases
  • The basics of Java in order to use the Cassandra Java library

Description

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

Who this course is for:

  • 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

Instructor

Loony Corn
An ex-Google, Stanford and Flipkart team
Loony Corn
  • 4.2 Instructor Rating
  • 21,308 Reviews
  • 126,881 Students
  • 73 Courses

Loonycorn is us, Janani Ravi and Vitthal Srinivasan. Between us, we have studied at Stanford, been admitted to IIM Ahmedabad and have spent years  working in tech, in the Bay Area, New York, Singapore and Bangalore.

Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft

Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too

We think we might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why we are so excited to be here on Udemy!

We hope you will try our offerings, and think you'll like them :-)

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