Above 3 Lakh Hits & 55000 Plus Visits – Statistics for MOHANMA.COM in 2019

Wishing everyone a Happy New Year 2020.

MOHANMA.COM recorded best numbers ever for a year in the calendar year 2019.

Total number of visits in 2019 was 55,319.

Total Hits in 2019 was 3,44,110.

Total number of unique visitors was 17,141.

Please find below the statistics for December 2019.

December 2019 had the highest number of unique visitors in a month at 2,159.

Thank you all for visiting the website.

Statistics for October 2019 – MOHANMA.COM

Unique visitors for MOHANMA.COM in October 2019 is 1184.

Number of visits between October 1 to October 31 is 2903.

6th October 2019 clocked the highest number of hits in a day for October 2019 – 1,901.

Average hits received per day for October 2019 is 839.

Thank you all for visiting the website.

Statistics for September 2019 – MOHANMA.COM

Unique visitors for MOHANMA.COM in September 2019 is 1403.

Number of visits between September 1 to September 30 is 4054.

18th September 2019 clocked the highest number of hits in a day for September 2019 – 2,630.

Average hits received per day for September 2019 is 1,300.

Thank you all for visiting the website.

Jai Ganesha: Mammoth Statistics of August 2019 for MOHANMA.COM

Firstly, wishing everyone a Happy Gowri Ganesha Chaturthi.

The website has received a record 46,282 hits in August 2019, which is the highest hits ever received in a calendar month.

Unique visitors for MOHANMA.COM in August 2019 is 1378.

Number of visits between August 1 to August 31 is 6775.

7th August 2019 clocked the highest number of hits in a day – 4,227.

Average hits received per day for August 2019 is 1492.

Thank you all for visiting the website.

Jai Ganesha.

RDD : Resilient Distributed Dataset

Apache Spark has a key feature known as Resilient distributed datasets(RDD’s). The data structure available in Spark.

RDD’s are fault tolerant and can be operated in parallel.

RDD’s can be created by:-

  • Parallel execution of collection available in driver program.
  • By referencing dataset in an external storage system such as HDFS, HBase or data source supporting Hadoop input format.

RDD’s support two types of operations:

  1. Transformations
  2. Actions

Transformations generate a new dataset from already available dataset.

Actions return values to driver after working on dataset.

Unlike Map-Reduce, Spark does not carry out the complete life-cycle of data processing for task completion.

Spark is efficient and operates on datasets only when results are required by driver program.