Cloud Cost Optimization Guide: How to Save More on the Cloud
A Print Media startup that has recently migrated their applications to the cloud. They noticed that their cloud bills were increasing every month....
When moving applications to different environments, delivering from one device to another, from a PC to cloud center services, there is always a problem of reliable operation. We use proven technologies to keep applications running smoothly.
Amazon AWS, GCP, Microsoft Azure, and other…
Cloud providers are companies that offer cloud computing services to individuals and businesses. They provide virtual infrastructure, platforms, and software that can be accessed remotely over the internet.
Power BI, SQL Server, Tableau, and other…
Data visualization refers to the graphical representation of data and information to help people better understand and analyze complex data sets. It involves the use of charts, graphs, maps, and other visual tools to present information in a way that is easily digestible and meaningful.
Azure, postgresql, Teradata, and other…
Data warehouse tools and technologies are software systems designed to support the creation, maintenance, and management of data warehouses.
Kafka, SQl Server, Oracle Data and other...
Data integration tools and technologies are used to extract data from various sources and integrate it into a unified system or data warehouse for analysis and decision-making purposes.
Azure Cosmos DB, Azure Blob, and other…
Cloud data storage refers to the storage of data on remote servers accessed over the internet. The data can be stored in various formats, such as files, images, videos, or databases.
Deriving the greatest value from data is the key to success, and this is precisely what Appinventiv delivers through its rich pool of services.
We start by first understanding your business requirements. After a few discussions, our team explores your data, asks the required questions and sets goals for the project.
After the raw modeling of data, our Data Scientists and Engineers continue to adjust and optimize the selected analytics model. The team analyzes all the metric values and model performance and ensures there is significant improvement in the overall accuracy.
The team deploys the model on a test server where it starts working with the real data and we are able to monitor results. If the model runs successfully on the test server, we deploy it in production.
Our services do not end at deployment. As our post-deployment services, we ensure that you get model runs successfully and you get constant technical support.
DWAAS is a best way for companies to go if they are facing issues like –
We have a team of experienced professionals who specialize in data warehousing and have a deep understanding of various data warehousing technologies and tools.
Expand or reduce your remote team size on demand.
Access vetted experts in the tech stack of your choice.
CloudVenture, average engagement duration is 2 years.
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