Big Data Course Questease

Big Data Course Details

Introduction to Big Data

Defining Big Data

  • The four dimensions of Big Data: volume, velocity, variety, veracity
  • Introducing the Storage, MapReduce and Query Stack

Delivering business benefit from Big Data

  • Establishing the business importance of Big Data
  • Addressing the challenge of extracting useful data
  • Integrating Big Data with traditional data

Storing Big Data

Analyzing your data characteristics

  • Selecting data sources for analysis
  • Eliminating redundant data
  • Establishing the role of NoSQL

Overview of Big Data stores

  • Data models: key value, graph, document, column–family
  • Hadoop Distributed File System
  • HBase
  • Hive
  • Cassandra
  • Hypertable
  • Amazon S3
  • BigTable
  • DynamoDB
  • MongoDB
  • Redis
  • Riak
  • Neo4J

Selecting Big Data stores

  • Choosing the correct data stores based on your data characteristics
  • Moving code to data
  • Implementing polyglot data store solutions
  • Aligning business goals to the appropriate data store

Processing Big Data

  • Integrating disparate data stores
  • Employing Hadoop MapReduce
  • The building blocks of Hadoop MapReduce
  • Distinguishing Hadoop daemons
  • Handling streaming data

Tools and Techniques to Analyze Big Data

  • Abstracting Hadoop MapReduce jobs with Pig
  • Performing ad hoc Big Data querying with Hive
  • Creating business value from extracted data

Developing a Big Data Strategy

Implementing a Big Data Solution

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