Leveraging Automated Data Pipelines with Dataplatr and its Snowflake Partnership

"Businesses need information from critical sources like CRM, ERP and social media which are available in disparate systems across departments for informed decision making. The data acquired from these systems needs to be loaded into a destination system which is capable of analysing the data and giving business insights. The solution to the above problem lies in creating Automated data pipelines which can extract data from different sources and load it into the destination system. Automated data pipelines act as backbone for modern businesses that thrive on data for decision making.
We at Dataplatr as snowflake tech partners, use our expertise in designing and automating the various stages of data pipeline like extracting, transforming and loading data leveraging the snowflakes capability to entirely automate the process and minimise errors by reducing the need for human intervention.
Dataplatr, as snowflake integration partner designs automated workflows and pipelines to extract and integrate the data from various systems utilising the snowflakes native connectors like ODBC, JDBC etc., to ingest data into its warehouse for storage, the data which is stored can be then retrieved from the data warehouse when required for further data analysis.
Dataplatr being a snowflake tech partner utilizes its skills and snowflakes data transformation capability to create custom queries for handling complex transformations along with its ability to convert data into standard data type to ensure data quality. In addition, we efficiently utilize the Snowpipe which allows data to load continuously in real time enabling centralised data management.
Utilizing the snowflakes modern architecture we enable our clients to scale-up or scale-down the operational requirements as the situation demands ensuring efficient operation of data pipelines. Also, we design secure data pipelines that ensures data safety in storing, accessing and processing while maintaining compliance and data integrity."