Seamless
data transfer from Hadoop into a relational database
Seamless
data transfer from a relational database into Hadoop
File
transfer and Hive table creation for file based transfers into Hadoop
Automatic
generation and deployment of file creation scripts and jobs from Hadoop or
Hive tables
Key Features:
The
tool generates code which can be automatically executed (or scheduled) for
delta and milestone replication with defined frequency of data refresh.
The
tool is configurable to select tables/columns/files which are to be transferred
in or out of Hadoop.
Inbuilt
optimization of storage to deliver performant code – the tool takes into
consideration table size, database partitions, file formats and compression.
Benefits of using Skool:
1.All scripts are provided to
user and are customizable as needed
2.Code consistency is
maintained
3.Effective logger information
while running the application
4.Audit/Lineage recorded at
every action in Hive Table
5.Custom Housekeeping
6.Support for both AVRO and
Text files
7.Data can be imported from an
Oracle database as well as from a server pushing down files to Hadoop
8.Compression over the stored
data
9.Tables created over stored
data
10.Automatic partitions over
tables
11.Support for both
incremental and milestone data pulls