Welcome to the Hapyrus Big Data Enterprise Solution product
demonstration. This demonstration will provide you with an introduction to how Hapyrus can
help Data Analysts process and manage your Big Data and Analysis projects faster and easier
through our web platform.
At first, you can create data table of your data for Hadoop Hive. Hive is a SQL
language for Hadoop. Hapyrus fetches a small part of your data on the S3 and create Hive table
for your data. (click new table)
You can choose your data from the S3 buckets listed on the screen and
generate a Hive table by clicking the button. (click generate button)
Next you can write your query to your data. (click New Query) You can see your
table created before for your reference of queries. You can include parameters in the query so
that you change the value on each job run. If you make a mistake in writing query, we detect the
error and display it for easy corrections. (click save query button and show the errors.)
After editing a query, you can run a test job for the query by just clicking a button.
It fetches a small part of your data and runs the query against the data, so you can make sure
the script works correctly.
When the test finishes successfully, you can run a job for all of your big data. We
provide estimations and suggestions for your job, showing you the AWS instance type with an
estimated process time. You can see approximate duration of the job by the specific instance
type and count.
Once you run a job, you can see the progress on the screen. When the job
finishes you're notified by email and you can download TSV/CSV file of the result or send to
your BI platform if your plan allows.