Mactores, a provider of end-to-end data platform transformation solutions, announced today that it has achieved Amazon DMS Service Delivery status. This designation recognizes that Mactores provides deep expertise to help customers retire their technical debt by migrating capital-intensive, licensed databases like Microsoft SQL Server, Oracle from on-premises or any cloud to superior and cost-effective Amazon Aurora RDS PostgreSQL or MySQL.
Mactores, a provider of end-to-end data platform transformation solutions, announced today that it has achieved Amazon Redshift Service Delivery status. This designation recognizes that Mactores provides deep expertise to help customers retire their technical debt by migrating capital-intensive, data warehouse platforms from on-premises to superior and cost-effective Amazon Redshift.
A large manufacturing company faced many challenges with their Oracle data warehouse, which was deployed on-premises in 2009 with about 120 GB of data.
Mactores Cognition, Inc., a provider of end-to-end data platform transformation solutions on Amazon Web Services (AWS), has received the AWS Data & Analytics Competency status. This designation recognizes that Mactores has demonstrated technical proficiency and proven customer success in big data-related solutions.
Mactores Cognition, Inc., a provider of end-to-end data platform transformation solutions on Amazon Web Services (AWS), is an Advanced Consulting Partner within the Amazon Web Services (AWS) Partner Network (APN). APN Consulting Partners are professional services firms that help customers design, architect, build, migrate and manage cloud solutions built on AWS.
This blog was first published by same authors on Amazon APN Blogs.
As mentioned in the first post in our series, Seagate Technology asked Mactores Cognition to evaluate and deliver a data platform to process petabytes of data with consistent performance, lower query processing time, lower total cost of ownership (TCO), and the scalability required to support about 2,000 daily users.
Seagate Technology is a United States-based data storage company with worldwide manufacturing facilities that generate huge amounts of manufacturing and testing data.
When businesses collect data, they do so with the ultimate goal of making better decisions. The data collected typically undergoes multiple levels of analysis, including analyzing historical information and making predictions of future outcomes.
Today’s competitive business environment is driven in large part by data analytics. By collecting and analyzing historical data, organizations can estimate what’s likely to happen in the future. This approach is the basis of predictive analytics. With a predictive analytics strategy in place, information such as previous sales, inventory levels, and customer behavior can be used to uncover insightful patterns and estimate future outcomes.
Many businesses use descriptive analytics without even realizing it. From preparing sales reports for a particular period to calculating revenue, companies use descriptive analytics to understand what happened during their daily operations.
It would be difficult to operate any business without using descriptive analytics. This type of analysis involves collecting essential data and drawing conclusions from it. For example, reports about inventory levels, sales, pricing changes, and customer acquisition all form a part of descriptive analytics. This approach is the foundation of your entire data analytics strategy.