Larger organizations and organizations that grow generate large volumes of data and as the volume of data grows one common issue that they face is query latency, which causes time delay in executing the queries and getting the results. This latency can greatly impact the operational efficiency of the business, especially the ones that are more dependent on real time data. Dataplatr can help businesses to overcome these issues with its snowflake partnership.

Data Latency Challenges:

Organizations that are migrating from on premise systems to cloud based solutions do not have the required infrastructure either to store the large volume data generated from different sources or the computing ability to handle such a large amount of data. Dataplatr as snowflake elite  partner utilizes its ability to integrate and ingest data from various sources into snowflake, which then utilizes its multi cluster architecture to scale up and organize the data in a more structured and efficient manner as the data load increases keeping the data ready for execution to overcome the latency in executing queries.

Accelerated Query Performance:

Increase in the volume of datasets leads to increased workload resulting in the time taken to process the data to increase proportionately for executing the queries to extract, transform and load the data. Snowflake inbuilt architecture has separate layers for data storage and computing, Dataplatr as snowflake tech partner utilizes its ability to organize data efficiently and as snowflake partners utilizes the snowflakes columnar data storage format to store the data which makes it easy for queries to retrieve data easily. Also, we utilize the virtual warehouse capability which allows our clients to execute complex queries containing multiple joins, sub queries and calculations concurrently without time lag.  

Together with Dataplatr and its Snowflake Partnership businesses can benefit from reducing the latency in query execution which leads to increased responsiveness resulting in improved operational efficiency