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Showing posts with the label visualization charts

HBASE Vs. RDBMS Top Differences You can Unlock Now

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HBASE in the Big data context has a lot of benefits over RDBMS. The listed differences below make you understandable why HBASE is popular in Hadoop (or Bigdata) platform. Let us check one by one quickly. HBASE Vs. RDBMS Differences Random Accessing HBase handles a large amount of data that is store in a distributed manner in the column-oriented format while RDBMS is systematic storage of a database that cannot support a random manner for accessing the database. Database Rules RDBMS strictly follow Codd's 12 rules with fixed schemas and row-oriented manner of database and also follow ACID properties. HBase follows BASE properties and implement complex queries. Secondary indexes, complex inner and outer joins, count, sum, sort, group, and data of page and table can easily be accessible by RDBMS. Storage From small to medium storage application there is the use of RDBMS that provide the solution with MySQL and PostgreSQL whose size increase with concurrency and performance.  Codd'

10 Best Visualization Charts to Present data

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I am going to share with you the best data visualization charts examples in this post. These will help you how one can present the Data. So data visualization is the best way to present data. The given examples of top data visualization charts help you understand the visualization concept quickly. 10 Best Visualization Charts to Present data 10 Visualization Charts With Examples. Pie charts Histograms Scatter plots Timetable charts Venn diagrams Steam graphs Stacked area graphs Stacked bar graphs Parallel sets Multi-set bar charts Pie Charts Best Example: The real usage of Pie-charts is to find information about different groups. The complete data to draw Pie chart. Histograms Best Example The purpose of the Histogram is to know the frequency distribution. The complete data to draw Histogram Scatter Plots Best Example: The best example is to find the data scattering and to study the patterns. Useful in the study of medical data. The complete data to draw a Scatter plot. Time Table Cha