DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports Events Over 2 million developers have joined DZone. Join Today! Thanks for visiting DZone today,
Edit Profile Manage Email Subscriptions Moderation Admin Console How to Post to DZone Article Submission Guidelines
View Profile
Sign Out
Refcards
Trend Reports
Events
Zones
Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Partner Zones AWS Cloud
by AWS Developer Relations
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Partner Zones
AWS Cloud
by AWS Developer Relations

Trending

  • A Data-Driven Approach to Application Modernization
  • The Role of AI and Programming in the Gaming Industry: A Look Beyond the Tables
  • Five Java Books Beginners and Professionals Should Read
  • Turbocharge Ab Initio ETL Pipelines: Simple Tweaks for Maximum Performance Boost

Trending

  • A Data-Driven Approach to Application Modernization
  • The Role of AI and Programming in the Gaming Industry: A Look Beyond the Tables
  • Five Java Books Beginners and Professionals Should Read
  • Turbocharge Ab Initio ETL Pipelines: Simple Tweaks for Maximum Performance Boost
  1. DZone
  2. Data Engineering
  3. Big Data
  4. A Lap Around Big Data with Microsoft HDInsight

A Lap Around Big Data with Microsoft HDInsight

Anindita Basak user avatar by
Anindita Basak
·
Jun. 30, 13 · Interview
Like (0)
Save
Tweet
Share
7.07K Views

Join the DZone community and get the full member experience.

Join For Free

big data synonyms with three v s : volume , velocity & variety . even with traditional e-commerce system to modern social networks all systems data conservation is dependent on this platform. let's check a scenario of modern e-commerce analytics after integration with big data.

bigdata

ecommerce

  • big data platform typically works by storing data first into clusters , then process the data through mapreduce workflows which executes by mapping the input data through independent chunks processed by appropriate algorithms, the output from map phase then moves to shuffle/sorting phase & finally the output from shuffle phase comes to reduce phase as input .
  • lets check a typical big data mapreduce workflow .

storedata

processdata

mr

  • microsoft's bigdata platform works exactly same way as a collaborative solution with horton works named as microsoft hdinsight . which typically simplifies the solution of running complex batch scripts. lets cover a little insight of hdinsight/hadoop ecosystem.

hdinsight

  • microsoft's big data platform unveils solutions from storing data into hdfs to query processing on hive up to implementing business intelligence analytics on excel powerpivot, powerpivot, ssas & ssrs solutions .

msbigdata

  • storing data into hdfs : petabytes to zetabytes of data to be stored in hdfs clusters by means of name node followed by data nodes, in azure hdinsight each data node is integrated with a worker roles & compute cluster. alternatively , you can leverage the solutions using azure blob storage utilizing  front end(attaches oauth/security layer for authentication), partition layer: for mapping with azure queue, table & blob storages , stream layer : 3 layer ha for scaled out data stream .

hdfs

  • in order to programming on hdinsight , you can opt for java, c#, f#, .net, .js api, linq to hive apis which leverages to code on hadoop ecosystems including hadoop pig, hive, mahout, cascading, pegasus .

hdinsight_api

microsoft's hadoop vision
microsoft's hadoop vision
Big data

Opinions expressed by DZone contributors are their own.

Trending

  • A Data-Driven Approach to Application Modernization
  • The Role of AI and Programming in the Gaming Industry: A Look Beyond the Tables
  • Five Java Books Beginners and Professionals Should Read
  • Turbocharge Ab Initio ETL Pipelines: Simple Tweaks for Maximum Performance Boost

Comments

Partner Resources

X

ABOUT US

  • About DZone
  • Send feedback
  • Careers
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 600 Park Offices Drive
  • Suite 300
  • Durham, NC 27709
  • support@dzone.com

Let's be friends: