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Workday HCM Demo New Batches Starting from Tuesday... 01-11-2016
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Cassandra Developer

overview

Apache Cassandra is an open source distributed 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 robust support for clusters spanning multiple datacenters, with asynchronous masterless replication allowing low latency operations for all clients.Cassandra also places a high value on performance. In 2012, University of Toronto researchers studying NoSQL systems concluded that "In terms of scalability, there is a clear winner throughout our experiments. Cassandra achieves the highest throughput for the maximum number of nodes in all experiments."
prerequisties
  • Basic knowledge of database and ACID transactions.
Duration
Online
  • It is a 12 days program and extends up to 2hrs each.
  • The format is 40% theory, 60% Hands-on.

Corporate
  • It is a 3 days program and extends up to 8hrs each.
  • The format is 40% theory, 60% Hands-on.
Classroom
    Private Classroom arranged on request and minimum attendies for batch is 4.
course content
  • Introducing Cassandra
    • Distributed and Decentralized
    • Elastic Scalability
    • High Availability and Fault Tolerance
    • Tuneable Consistency
    • Brewer's CAP Theorem
    • Row-Oriented
    • Schema-Free
    • High Performance
  • Use Cases for Cassandra
    • Large Deployments
    • Lots of Writes, Statistics, and Analysis
    • Geographical Distribution
    • Evolving Applications
  • Installing Cassandra
    • Running Cassandra
    • Starting the Server
    • Basic CLI Commands
    • Hands-on Session
  • The Cassandra Data Model
    • The Relational Data Model
    • A Simple Introduction
    • Clusters
    • Keyspaces
    • Hands-on Session
  • Column Families
    • Column Family Options
    • Columns
    • Wide Rows, Skinny Rows
    • Column Sorting
    • Super Columns
    • Composite Keys
  • The Cassandra Architecture
    • System Keyspace
    • Peer-to-Peer
    • Gossip and Failure Detection
    • Anti-Entropy and Read Repair
    • MemtabMemtables, SSTables, and Commit Logs
    • Hinted Handoff
    • Compaction
    • Bloom Filters
    • Tombstones
    • Hands-on Session
  • Clients
    • Basic Client API
    • Thrift
    • Avro
    • Hands-on Session
  • Reading and Writing Data
    • Setup and Inserting Data
    • Using a Simple Get
    • Seeding Some Values
    • Hands-on Session
  • Integrating Hadoop
    • What IWhat is Hadoop?
    • Working with MapReduce
    • Cassandra Hadoop Source Package
    • Running the Word Count Example
    • Outputting Data to Cassandra
    • Hadoop Streaming
    • Hands-on Session
  • Tools above Map Reduce
    • Pig
    • Hive
Videos
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