Snowflake Data Integration
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Most enterprises have taken an incremental approach to technology over many years. This has resulted in the creation of siloed applications that work well to support specific business functions. But due to differences in the underlying technology platforms, architecture etc., these disparate applications cannot and do not work together seamlessly. Even the same data residing in different systems has differences; all this impedes the organization’s ability to become a data-driven enterprise that relies on one version of the truth in the form a common, validated set of data around customers, suppliers, financials, production, POS etc.

We help you transcend these disparate databases and ensure that your enterprise has access to clean data pipelines and validated data needed to support your in-prem or on-cloud analytics engines. The utility of your Snowflake data cloud depends on the quality and relevance of the data that is fed into it. Given that your business will generate data from multiple sources and in a number of formats, your cloud needs the right data ingestion and integration layers within Snowflake. In their absence, your ability to generate insights will be hampered, thereby reducing your RoI from investments into data clouds and analytics.
Our data integration consultants help your enterprise at every step of the journey, as highlighted below.
- Assessment and Planning: Through consultative workshops, we help your teams understand various data integration options (ELT, CDC, Streaming) and jointly arrive at the best approach for your enterprise in light of your current state and goals.
- Data Ingestion: We help establish what the best data ingestion strategy is for your enterprise (i.e., batch or streaming) based on data source architecture, data formats, frequency, volume, cost etc. This is a critical task as downstream analytics, insights and reporting depend on the quality of incoming data.
- Data Integrations: Once the data is ingested into your data cloud into a data lake or warehouse on Snowflake, the integration needs to be rigorously tested to ensure that data is appropriately combined from multiple sources into a unified view that makes it easier for users to obtain actionable information and insights.
