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From 0 to 1 : The Cassandra Distributed Database
$99.00
Learn the Cassandra Distributed Database & Greatly Improve Your Big Data Resume
Mode Of Learning: Online
Access Duration: 365 days
Description
Data sets can outgrow traditional databases, much like children outgrow clothes. Unlike, children’s growth patterns, however, massive amounts of data can be extremely unpredictable and unstructured. For Big Data, the Cassandra distributed database is the solution, using partitioning and replication to ensure that your data is structured and available even when nodes in a cluster go down. Children, you’re on your own.
COURSE OVERVIEW
What’s Inside
- Access 44 lectures & 5.5 hours of content 24/7
- Set up & manage a cluster using the Cassandra Cluster Manager (CCM)
- Create keyspaces, column families, & perform CRUD operations using the Cassandra Query Language (CQL)
- Design primary keys & secondary indexes, & learn partitioning & clustering keys
- Understand restrictions on queries based on primary & secondary key design
- Discover tunable consistency using quorum & local quorum
- Learn architecture & storage components: Commit Log, MemTable, SSTables, Bloom Filters, Index File, Summary File & Data File
- Build a Miniature Catalog Management System using the Cassandra Java driver
COURSE CONTENTS
-
You, This Course and Us
- You, This Course and Us (1:45)
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Introduction: Cassandra as a distributed, decentralized, columnar database
- A Column Oriented Database (10:40)
- Requirements For A Product Catalog System (8:08)
- What Is Cassandra (8:33)
- Cassandra Vs HBase (4:37)
-
Install And Set Up
- Install Cassandra (Mac and Unix based systems) (9:54)
- Install the Cassandra Cluster Manager (Mac and Unix) (2:21)
- Install Maven On Your Machine (2:20)
-
The Cassandra Cluster Manager
- Create A Cassandra Cluster On Your Local Machine (11:54)
- Basic CCM Commands (7:04)
-
The Cassandra Data Model
- Column And Column Family (8:03)
- Super Column Family And Keyspace (7:18)
- Comparing Cassandra With A Relational Database (4:20)
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Shell Commands
- Connecting To Cassandra And Creating A Keyspace (6:55)
- Column Families And Their Properties (12:02)
- Modifying Column Families (2:42)
- Insert Data Into A Column Family (6:52)
- Advanced Data Types Collections And Counters (10:56)
- Update Simple And Collection Data Types (15:54)
- Manage Cluster Roles (5:01)
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Keys And Indexes: Primary Keys, Partition Keys, Clustering Key, Secondary Indexe
- Partition Keys: Distributing Data Across Cluster Nodes (12:15)
- Partition Keys: Properties (5:08)
- Clustering Keys: Data Layout On A Node (3:36)
- Restrictions On Partition Keys (14:38)
- Restrictions On Clustering Keys (9:12)
- Secondory Indexes (8:32)
- Restrictions On Secondary Indexes (8:52)
- Allow Filtering (2:27)
-
Tunable Consistency
- Write Consistency Levels And Hinted Handoff (12:18)
- Read Consistency Levels (11:19)
- Replication Factors And Quorum Value (8:14)
-
Storage Systems
- Overview Of Cassandra Storage Components (6:38)
- The SS Table And Its Components (9:44)
- Row Cache And Key Cache (3:14)
- Anatomy Of A Write Request (8:33)
- Anatomy Of A Read Request And The Gossip Protocol (7:25)
-
A Mini-Project: A Miniature Catalog Management System
- Overview And Basic Setup (4:29)
- Creating A Session And Executing Our First Query (7:40)
- Create A Column Family (3:27)
- Check If A Column Family Has Been Created (4:59)
- Insert Data Into The Listings Column Family (9:13)
- Insert Data Into The Products Column Family (9:59)
- Search For Products (13:32)
- Delete A Listing (4:17)
- Update Mulitple Column Families Using Logged Batch (14:42)
TARGET AUDIENCE
There is no pre-requisite to take this training course. Anyone who is interested to build a career in Big Data Technologies can go for this training course, but some knowledge of SQL, Hadoop, and MapReduce is assumed
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