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Analytics And Big Data


last update : 12/01/2016

Cassandra DB Online Training

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Cassandra DB Weekend Instructor Led Online Training

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

This course will get you introduced to the NoSQL datastores and help you to understand where Cassandra fits in. You will understand how Cassandra doesn't have a single point of failure, it's comparison with relational databases and how it is easy to scale.You will understand the advantages of Cassandra over other NoSQL systems with some real world cases.You will get to see the data model of Cassandra (Keyspaces, Column families), use CQL to do things with it. You will also get to see a typical read and write flow, and understand what bloom filters are. This will be a decently hands on training.



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 datacentres with asynchronous masterless replication allowing low latency operations for all clients.

Cassandra also places a high value on performance. 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.




  • NoSQL basics
  • Some NoSQL systems
  • Cassandra Origin & Intro
  • Cassandra Strengths and Weaknesses
  • Cassandra high level Architecture
    • Cassandra Read and Write Paths
    • Commit Log
    • Memtables
    • Flushing
    • SSTables
    • Row Merging
    • Cache (Key, Row)
  • Compaction
  • Bloom Filters
  • Deletes
  • Introduction to CAP theorem
  • Data partitioners
  • Replication strategies
  • Snitches
  • Hinted Handoff
  • Tunable Consistency
  • Cassandra Data Model
    • Keyspace Column Falily
    • Data Types
    • Composite Columns
    • Counters
  • Introduction to Indexing in Cassandra
    • Primary
    • Secondary
    • Custom
  • Planning Your Data Model
  • Cassandra Client APIs
  • CQL
  • CLI
  • Planning your Cassandra Cluster
  • Cassandra Installation  
  • Cassandra Configurations
  • Monitoring Cassandra
  • Backup
  • Recovery
  • Cassandra Security
    • Authentication
    • Authorization
    • Physical Security
  • Logging to Cassandra


Instructor Bio

Our trainer has around 10 years of tech industry experience across global services companies such as iGate & Sapient, huge web based product development companies(AOL) & a couple of online product startups. He has been instrumental in setting up and leading the data platform team at Qyuki Digital Media, a Shekhar Kapur & AR Rahman social media creativity initiative.

Apart from vast experience in Java, He has around 2 years of big data mining & analytics experience involving technologies such as Hadoop, Apache Mahout, Cassandra & other machine learning packages such as Weka. He is passionate about the Hadoop ecosystem, personalization & recommendation systems.

He has a passion for explaining seemingly difficult concepts to people in a simple way and has conducted multiple corporate/online trainings for Java, Hadoop/MapReduce, building recommendation systems & Cassandra.

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What is Course Pre-Requisites

The participants should have basic understanding or knowledge of java and linux.

How can I make payment?Payment can be made via Cheque / DD / Online Funds transfer / Cash Payment.Cheque should be drawn in favour of "Unicom training and Seminars Pvt Ltd" payable at BangaloreNEFT Payment:Account Name: UNICOM Training & Seminars Pvt LtdBank Name : State Bank of IndiaBank Address: Ground Floor, K V Plaza, Green Glen Layout, Outer Ring Road, Bangalore.A/c Number : 31729010535IFSC : SBIN0012706A/c Type: Current

What is Course timing?2000 – 2400 every weekendWhom do I contact for more details?You can contact+91-9538878798 or


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Telephone: +91-9538878795, +91-9538878799, +91-8025257962


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