Democratizing Data Warehousing in an Era of Integrated Operations

Shivaganeshan A.M

Shivaganeshan A.M

March 8, 2022

Between 2010 and 2020, the volume of data created, captured, and consumed increased from 2 zettabytes to 64.2 zettabytes. By 2025, it is expected to reach 181 zettabytes*. This exponential growth in the quantity and complexity of data is hardly surprising. People’s rising comfort with online transactions and reliance on interconnectedness brought on by the Internet of Things (IoT) has spelled boom time for data, compelling data warehousing service providers to enhance their computation and storage capabilities.

A direct outcome of this data explosion is that service providers have been phasing out their monolithic, inflexible technology platforms. As businesses integrate their global operations, the focus is on offering modular solutions that can make data more easily accessible, move seamlessly, and be user-friendly. In short, data has become more democratized than ever before.

Newer Tools for Newer Insights

For a while now, the rise of customer experience as a competitive differentiator has been driving the need to de-silo data for cohesive, collaborative decision-making. With customer touchpoints mushrooming across all digital channels, businesses are suddenly finding themselves snowed under by new data. However, many of these businesses do not possess the skills or tools needed to analyze the data and generate differentiated insights. In addition to finding a way to scale storage for their structured and unstructured data, they now have to seek simple, rapid ways to scale computation.

The decentralization of decision-making is also bringing home the need to make insights available to groups other than the leadership teams. An elegant solution to this need for superior insight generation and democratization is to adopt a cloud data warehouse that allows them to access data stored within it as well as build paths to third-party data. The real challenge is to find a service provider that can do so economically and securely while integrating with the organization’s BI tools.

Cross-Cloud Capabilities for True Data Integration

RRD helps companies across the globe integrate their disparate and geographically dispersed operations by easing the migration of their structured, semi-structured, and unstructured data to the cloud. Our team of Snowflake-certified IT experts enable businesses to do away with the time-consuming, expensive need to build Big Data integration scripts and data models by automating the entire data integration process. What this means for organizations gravitating towards multi-cloud setups is:

  • Easier data sharing
  • Faster data extraction and replication
  • Concurrency
  • Superior data developer experience
  • Augmented analytics
  • Access to third-party data providers

In addition to these benefits, RRD aids business strategizing by delivering analytics at scale with zero administration requirements. It also allows users to draw from governed, cost-effective data lakes and adds another layer of support by ensuring simple data preparation for modeling, within the framework of the client’s choice.

Our Snowflake experts collaborate with clients to understand their unique requirements and help them derive optimum value from their cloud data infrastructure. If you would like to know more about how we can help take your business to the next level of competitiveness, please drop a line at