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  1. About the Course
  2. Intended Audience
  3. Syllabus
  4. Why Choose Us

COURSE OVERVIEW

The Data Science and Big Data Analytics course gives down to earth establishment level preparing that empowers prompt and successful interest in Big Data and different Analytics ventures. It incorporates a prologue to Big Data and the Data Analytics lifecycle to address business challenges that influence Big Data. The course gives establishing in essential and progressed systematic techniques and a prologue to Big Data Analytics innovation and instruments. Lab sessions offer chances to see how these strategies and devices might be connected to true business challenges by a rehearsing Data Scientist. This course gives an industry accreditation to business investigators, information distribution center specialists or different experts with comparative foundations to help them change into the universe of Data Science and Big Data Analytics that has extraordinary difficulties and opportunities.

 

Cassandra Course Syllabus

Introducing Cassandra

  • Distributed and Decentralized
  • Elastic Scalability
  • High Availability and Fault Tolerance
  • Tuneable Consistency
  • Brewer’s CAP Theorem
  • Row-Oriented
  • Schema-Free
  • Understanding SharePoint 2013 Deployment and Execution Models

Use Cases for Cassandra

  • Large Deployments
  • Lots of Writes, Statistics, and Analysis
  • Geographical Distribution
  • Evolving Applications

Installing Cassandra

  • Running Cassandra
  • Starting the Server
  • Running the Command-Line Client Interface
  • Basic CLI Commands
  • Hands-on Session

Column Families

  • Columns
  • Wide Rows, Skinny Rows
  • Column Sorting
  • Composite Keys

The Cassandra Architecture

  • System Keyspace
  • Peer-to-Peer
  • Gossip and Failure Detection
  • Anti-Entropy and Read Repair
  • Memtables, SSTables, and Commit Logs
  • Hinted Handoff
  • Bloom Filters
  • Tombstones
  • Hands-on Session

Clients/span>

  • Basic Client API
  • Thrift
  • Avro
  • Hands-on Session

Reading and Writing Data

  • Setup and Inserting Data
  • Using a Simple Get
  • Hands-on Session

Integrating Hadoop

  • What 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 MapReduce

  • Pig
  • Hive
  • Cassandra Hadoop Source Package
  • Running the Word Count Example
  • Outputting Data to Cassandra
  • Hadoop Streaming
  • Hands-on Session
  • Tools Above MapReduce
  • Central location 
  • Hands on training with lab access
  • Expert trainers
  • Small group, up to 5 students in a class
  • Certificate of completion
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