Modernize your Data Platform and unlock Advanced Analytics Opportunities

Data Platform Modernization

Organizations are demanding business value from their data. With the advent of Digital Business Transformation, companies are under tremendous pressure to be able to access, manage, distribute and analyze all their available data from various disparate systems and sources while it is still valuable. Processing the volume and gravity of data that today’s organizations produce can be both challenging and expensive, especially with a legacy data warehouse. Unifetch can help customers begin their Data Platform Modernization journey by identifying existing systems, architectures and processes that may not be sufficient to handle the requirements of a data-driven enterprise and help them in their Digital Transformation journey.

Refer to our section on how we help organizations in their Digital transformation journey using AI & Automation.

Big Data on Cloud
  • Accelerate powerful Big Data transformations within your organization by leveraging the AWS cloud platform
  • Fast track data migration from hybrid or on-premises sources into AWS to reveal meaningful and actionable insights for ad-hoc queries and reporting
  • Modernize your organization data landscape by architecting an entirely new data ecosystem on the cloud
Data Lake
  • Harness the power of unstructured data and eliminate disparate storage silos by consolidating and managing multiple data types from a wide array of sources at any scale into a central repository and run different types of analytics to uncover business insights.
Data Governance and Security
  • In this modern era of Digital Transformation, there is a paradigm shift within the enterprises that have started recognizing the need to implement data governance framework to ensure Data Integrity, Usability and Value of turning raw data into real time intelligence. Unifetch data experts work with various enterprises to prevent their data assets from becoming data liabilities and help formulate and benchmark enterprise Data governance framework to improve business decisions and drive competitive advantage.
Data Intelligence
  • Organizations today can ascertain patterns in user behavior, make competitive decisions and mitigate risks at the data origin by implementing real-time analytics
  • Our experts can deploy customized Real Time Production Dashboards that offer a combination of both historic data and real-time information, which is useful for identifying emerging trends and monitoring efficiency.

Amazon Redshift Practice Overview

Valuable, insightful, and meaningful data to inform organization leaders is a key component of making critical business decisions. To meet this need for businesses, Unifetch implements a solution using Amazon Redshift to load, transform, and analyze data, while also architecting a robust analytics platform.

Amazon Redshift is a managed cloud data warehousing product that meets today's data-driven organization requirements through fast data analysis using SQL. It is designed specifically to fully manage and query massive datasets faster with highly scalable and more cost-effective features than conventional database systems. With a more efficient, agile, and scalable Redshift solution, leadership teams can gather insights more rapidly to keep up with customer demand and shifting market trends.

Our data load utility accelerator and data migration solutions enable organizational leaders to glean meaningful insights by harnessing all customer data on-demand through AWS managed services.

Our Methodology

Redshift Methodology

Why Unifetch?

  • AWS Recognized MAP 2.0 preferred Migration partner holding AWS Migration competency
  • Over 500+ TB of data migrated to AWS for enterprise customers
  • Extensive experience in implementing cost-effective migration accelerators using Server & Serverless techniques for EDW to Amazon Redshift
  • Expertise in aligning AWS Well Architected Framework (WAF) with Amazon Redshift best practice for driving data migration implementations
  • Over 100+ AWS certified personnel supporting the practice and working along with 20+ Bigdata certified experts