Data Migraton Services

PLANNING A MIGRATION SOON?

EXTRACTION
WITH AMSA
CONNECT

In order to achieve big data goals, data extraction becomes the most
important step as everything else is going to be derived from the data
that is retrieved from the source. AMSA Connect can easily extract data
that is stored in a structured format such as a relational database
management system (RDBMS). If data extraction is not done properly,
the data will be flawed. After all, only high quality data leads to high
quality insights.
AMSA Connect can do all the assessment, mapping, planning, and
deployment to get your data extracted smartly for Data Warehouse
ETL. It is very effective in migrating data from any structured/semistructured sources onto a Cloud DW or Data Lake.

WHAT TO KEEP IN MIND WHEN PREPARING FOR DATA EXTRACTION DURING DATA ETL:

1

IMPACT ON THE SOURCE :

Retrieving information from the source may impact the source
system/database. The system may slow down and frustrate other
users accessing it at the time. This should be thought of when
planning for data extraction. The performance of the source system
shouldn’t be compromised. You should opt for a data extraction
approach that has minimal impact on the source.

2

VOLUME :

Data extraction involves ingesting large volumes of data which the
process should be able to handle efficiently. Analyze the source
volume and plan accordingly. Data extraction of large volumes calls
for a multi-threaded approach and might also need virtual
grouping/partitioning of data into smaller chunks or slices for faster
data ingestion

3

DATA COMPLETENESS :

For continually changing data sources, the extraction approach
should cater to capture the changes in data effectively, be it directly
from the source or via logs, API, date stamps, triggers etc.

LET AMSA CONNECT DO THE HEAVY LIFTING

AMSA Connect can do all the thinking, planning, and deployment to get your data extracted smartly for Data Warehouse ETL. It checks all the boxes above and is very effective in migrating data from any structured/semi-structured sources onto a Cloud DW or Data Lake

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