IT & Software Big Data & Analysis Tutorial: Introduction
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Big data is data sets that are so big and complex that traditional data-processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.
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Course content
Big Data & Analysis Tutorial: Introduction
- Introduction : Big Data (brief)ReadLength: 4 pages
- Big Data Analytics Tutorial | Data Analytics for BeginnersReadLength: 10 pages
- 10 Best Big Data Analytics Tools for 2018: Big DataReadLength: 6 pages
- Hadoop Books: Best Books for Big Data and HadoopReadLength: 4 pages
- Big data in Retail industry – Real world uses and examplesReadLength: 5 pages
- Top Real Time Big data ApplicationsReadLength: 3 pages
- Big data Application – Income Tax Department to Scrutinise Bank AccountsReadLength: 2 pages
- Big Data in Healthcare – Real World Use-casesReadLength: 5 pages
- Big Data is Helping in Wildlife ConservationReadLength: 2 pages
- Big Data And Cloud Computing – A Comprehensive GuideReadLength: 7 pages
- Lambda Architecture – The New Big Data ArchitectureReadLength: 3 pages
- Careers and Job Roles in Big Data – A Comprehensive GuideReadLength: 4 pages
- Spark Hadoop Cloudera Certifications You Must KnowReadLength: 8 pages
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Introduction : Big Data (brief)
,Lambda Architecture – The New Big Data Architecture
,10 Best Big Data Analytics Tools for 2018: Big Data
,Hadoop Books: Best Books for Big Data and Hadoop
,Big Data And Cloud Computing – A Comprehensive Guide
,Big Data is Helping in Wildlife Conservation
,Big Data in Healthcare – Real World Use-cases
,Big Data Analytics Tutorial | Data Analytics for Beginners
,Careers and Job Roles in Big Data – A Comprehensive Guide
,Big data Application – Income Tax Department to Scrutinise Bank Accounts
,Spark Hadoop Cloudera Certifications You Must Know
,Top Real Time Big data Applications
,Big data in Retail industry – Real world uses and examples
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