Nitor Infotech and Snowflake have entered a strategic partnership to help businesses manage voluminous structured and unstructured data effectively to, in turn draw meaningful insights from multiple channels.
In this partnership, Nitor Infotech and Snowflake join hands to migrate your existing database to a cloud-based data warehouse. Doing so will equip you with easy access to data, ability to explore data patterns, and avail the potential to unearth relevant insights rapidly with minimum hands-on configuration from existing data. This is made easy with interactive visualizations to identify growth and pain points using tools such as Power BI that support business growth.
Data-driven decision-making is the backbone for organizational growth. Snowflake’s data warehousing capacity coupled with Nitor Infotech’s extensive expertise in data engineering, you can avail the following:
To migrate bulk data and schema from traditional data warehouse to Snowflake with the help of tools such as SnowPipe and SnowSQL CLI database.
To understand the nature of data and identify suitable distribution approaches, keys, clustering, and data de-normalization techniques.
To develop a script for data migration from existing data warehouse to a cloud-based Snowflake data warehouse.
To leverage expertise in data migration and facilitating exposure to the capabilities of Snowflake for easy access to diverse types of data.
To implement database change management with the help of Python-based tools such as Snowschema.
To build an analytics platform with various BI tools that goes above and beyond the Snowflake data warehouse to serve the need of enterprise analytics.
As a Nitor Infotech customer, you can avail the following benefits that stem from our partnership:
A cloud-based data warehouse equips businesses to process large volumes of data efficiently. Read our blog to see why moving your data to cloud can be pivotal for your business growthRead More
Businesses can make strategic decisions by deriving meaning from diverse data. Read our case study to see how we helped a leading retail chain draw insights from data to optimize overall functionsDownload