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Big Data Assignment help , Big Data Homework help

 Global web tutors is an Online Big Data Coursework help provider for Big Data assignments & homework . Our Big Data assignment help services & Online Big Data experts are available 24/7 to provide solutions for Big Data assignment problems.
 
Please post your assignment at support@globalwebtutors.com to get the instant syllabus in Big Data Assignment .Online Big Data experts are helping students struggling with Big Datas assignment questions across the globe.
 
Big Data
 
Big data is a term which describes the large volume of data i.e. structured and unstructured that focuses on a wide variety of applications such as capturing data, data analysis, data storage, search, sharing, visualization, transfer, querying, updating, information privacy and data source etc. Big data helps to gather and store large amount of information which is used in organisation for improving operations and taking effective decisions.
 
Oracle is the first vendor who offers a complete & integrated solution that is used to address the spectrum of Big Data requirements.  Main strategy of Oracle is to extend the current enterprise architecture to incorporate Big Data. Various technologies like Hadoop, NoSQL run alongside the data warehouse of oracle to deliver business values & address Big Data requirements
  • Cloud Computing
  • Big Data
  • CDN (Content Delivery Network)

Few topics :

  • Dimensions of big data
  • Analysing data characteristics
  • Big data stores
  • Data models
  • Hadoop distributed file system
  • Integrating disparate data stores
  • Employing hadoop mapreduce
  • Building blocks of hadoop mapreduce
  • Handling streaming data
  • Tools and techniques to analyse big data
  • Abstracting hadoop mapreduce jobs with pig
  • Performing ad hoc big data querying with hive
  • Developing a big data strategy
  • Enabling analytic innovation
  • Implementing a big data solution

Help For Complex topics are:

  • Big Data and its Applications
  • Data Abstraction
  • Linear data structures
  • Hashtables
  • Hashmaps
  • Bloom Filters
  • Non-linear data structures
  • Binary Search Trees
  • KD Trees
  • Distributed Algorithm Design
  • Algorithm Design using MapReduce
  • Distributed Computing Environment for Big Data
  • NoSQL databases for Big Data Storage Applications (HBase)
  • Distributed Processing of data using MapReduce & Pig
  • In-memory distributed processing using Apache Spark
  • Data Storage on Cloud (Amazon S3 & Dynamo DB)
  • ETL Operations
  • Data Warehousing
  • Ingesting data into Big Data Platforms
  • Apache Sqoop & Flume
  • Workflow management for Hadoop using OOZIE
  • Batch Processing on Cloud
  • Streaming Data in Industry
  • Sourcing Streaming data using Apache Flume
  • Building real-time data pipeline using Apache Storm
  • Streaming on Apache Spark
  • Regression
  • Clustering
  • Classification
  • Spark MLLib
  • Building visualizations

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