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Our experts can develop the most appropriate Snowflake data architectures to enable rapid onboarding of massive workloads. We provide computing logic to ingest large volumes of data into Snowflake, configuring the architecture skillfully to gather data from multiple sources and logs.
We know that merely loading data into a data warehouse isn’t enough. You need to make sense of the data to maximize business value. So, our architects extend the Snowflake data warehouse with AI/ML solutions to automatically discover the right data asset or insight, thus helping in further decision-making.
We can connect data analytics tools like Tableau and Power BI with Snowflake data models. Combining these tools with the Snowflake data models helps create a centralized ecosystem that serves as a single source of truth for all your analytical needs and solutions.
We understand that all businesses want consistent scalability and growth. So, we continue to fine-tune computing power to improve the bulk data loading into tables and optimize the performance of queries, etc., running in a warehouse.
We’ve had plenty of projects that required us to build extract-transform-load (ETL) data pipelines. So, we can easily apply ETL processes to your Snowflake system. You’ll also not experience any data latency as we process data in batches to keep the system lightweight and error-free.
We follow intelligent migration methods to migrate your legacy data warehouses to Snowflake. Our Snowflake experts can take ownership of migration planning, script conversion, data ingestion, and target solution selection. We leverage our mature expertise to ensure the migrated solution handles large datasets effectively.
By creating tokenization and encryption, we implement the highest levels of security for your Snowflake platform and its users. We apply masking policies to protect millions of rows and columns of data, taking full responsibility to safeguard your Snowflake data from risks of any kind.
Getting proper guidance around a new-age data cloud tech like Snowflake is essential. So, our experts tell you the best practices for implementing Snowflake most effectively. That way, you learn the nuances and make the right implementation choices for your specific use cases.
We're happy to hear your project goals and turn them into a next-level digital product. Get a free consultation to make this happen!
First, we define the processes and tools we need for the Snowflake architecture we’re requested to build.
We identify 2-3 key data sources required for a successful phase 1 rollout.
We then build the foundation from data ingestion to the data hub and warehouse.
We integrate the critical data sources and a few API layers in Snowflake’s master data to pave the way for the phase 1 rollout.
Once done with the phase 1 rollout, we will continue to expand the platform for further analytics and reporting.
Data Warehouse
Data Lake
Data Engineering
Data Exchange
Data Applications
Data Science
We genuinely invest our minds, not merely as your vendors, but as your partners, to help you with tremendous data advantage using Snowflake.
We have certified BI Engineers and Data Engineers who can work with your in-house team to double up your expertise and get the most out of your Snowflake data.
We gladly shed light on the right tools, reporting solutions, and migration techniques to successfully move your business to a virtual data warehouse.
We help you switch to a usage-based Snowflake pricing that bills you only for the data storage and computing used and not for anything else, thus keeping your bills low.
We're happy to hear your project goals and turn them into a next-level digital product. Get a free consultation to make this happen!
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