A fully managed, petabyte-scale data warehouse service
With the applications gaining momentum, the amount of data that needs to be analyzed is growing enormously and massively every day. Many business operations are impacted by issues including less scalable systems, an inability to handle different types of structured and unstructured data, higher infrastructure and maintenance costs, etc. This necessitates the requirement of a cost effective and capable data warehousing solution for data storage, which will help keep your data organized and make it simple to access for analytics and reporting.
Amazon Redshift is a petabyte-scale database system available in the cloud that is intended for data storage and analysis. Amazon Redshift is provided and completely managed by Amazon Web Services (AWS). Amazon Redshift uses SQL for analyzing structured and semi-structured data coming from data lakes, operational databases, and data warehouses. Additionally data stored in redshift is encrypted for better security.
With more than 150+ certified AWS experts, Tiger Analytics has successfully implemented Amazon Redshift and other AWS services for numerous customers across various industry verticals.
With the applications gaining momentum, the amount of data that needs to be analyzed is growing enormously and massively every day. Many business operations are impacted by issues including less scalable systems, an inability to handle different types of structured and unstructured data, higher infrastructure and maintenance costs, etc. This necessitates the requirement of a cost effective and capable data warehousing solution for data storage, which will help keep your data organized and make it simple to access for analytics and reporting.
Amazon Redshift is a petabyte-scale database system available in the cloud that is intended for data storage and analysis. Amazon Redshift is provided and completely managed by Amazon Web Services (AWS). Amazon Redshift uses SQL for analyzing structured and semi-structured data coming from data lakes, operational databases, and data warehouses. Additionally data stored in redshift is encrypted for better security.
With more than 150+ certified AWS experts, Tiger Analytics has successfully implemented Amazon Redshift and other AWS services for numerous customers across various industry verticals.
Build your data warehouse and utilize the data for analytics and reporting
Makes it simple and cost-effective to analyze large volumes of data using existing business intelligence (BI) tools
Faster analysis of the data
Handles all the steps needed to train and deploy a model
Provides end to end capability right from Data Quality and transformation capabilities required for a Data Warehouse. Accelerates data movement from source systems into Amazon Redshift thereby enabling quick onboarding of analytics and ML use cases.
Open-Source framework for Data Quality. It is highly configurable with table & field level rules, integrated with Redshift and monitoring tools.
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