We are proud to say that we were the first who implemented a complete data warehouse and big data solution using Microsoft Azure data services in South East Asia, using Azure SQL Data Warehouse, Azure Databricks, Azure Data Lake, Azure Data Factory, Azure Analysis Services and Power BI. We did not stop from there, we continued. See how we can help you on your requirements.Our Services
In most cases, we have been designing an analytical store as a relational database and it was always about formed facts and dimensions. Company who wanted to become a data-driven organization expects more now, hence the solution is not limited to a relational database, it is extended to semi-structured and unstructured data repositories with all big data characteristics.
A modern solution cannot be designed with a relational engine, it needs a modern enginer, or a workspace that has all required services for addressing all types of data, all types of workloads. This is why we always recommend a platform like Microsoft Azure, which has large number of data related services for addressing all modern requirements.
Are you planning a data warehouse and big data store in Azure? Try with us, see how experienced we are, how knowledable we are and how friendly we are. Let us design your solution, implement it, and support on your analytical requirments.
Check below questions, you can understand what we can do for you and how you can work with us, not just for implementing the solution, implement and make sure it is used by everyone in the organization and most importantly, it is useful for everyone.
There are many Azure services that can be used for implementing a data warehouse and big data solution. Let us name some, widely used services: Azure SQL database, Azure SQL Data Warehouse, Azure Data Factory, Azure Analysis Services, Azure Data Lake, Azure Databricks, Azure Stream Analytics, Azure Synapse and Power BI.
We provide services on end-to-end data warehousing and big data solutions. Here are few:
Yes, we have three types of offerings for any service:
Tough question, Yes and No. Why? Assume that you need to add something on top of the existing DW but the DW is not designed appropriately. Then the answer is No. We cannot prmomise immediately, let us analyze first and then we will see whether it is doable, or most importantly, it is advisable.
No, we never introduce ourself as a domain expert, such as banking, insurance or retail. We always provide the technical solution. However, our business analysts are smart enough for understanding your domain and requirments. If not, if your domain is completely unknown to us, we will bring the required resources for understanding the business and implementing the solution with all you need.
We can surely help to you migrate your on-premise SQL Server solution to Azure. Some components can be easily migrated but some need changes. Let's analyze first, make changes if needed and then migrate to Azure.
Yes, your project is not the first project for us. We bring 20+ years of experiences on data and we have hands-on with almost all Azure services.
Simple, let's have few discussions for understanding your requirments, plans, subscriptions and which dinesQL's plan work for you. Once it is finalized, let's find the resources required, time it needs and the cost. Then the last step, agree for terms and conditions, and initiate it.
We can certainly help you to determine which platform is much suitable for you. Although cloud is the best and rich with offerings, on-premise solution would be the right one for you. Let us analyze your requirment, existing setup and future plan, then we will recommend the most appropriate solution.
Absolutely. There are multiple ways of opending your data, presenting as a data warehouse without implementing a physical data warehouse. This is where we see the usage of Azure Synapse, or Power BI. Let's analyze first, then decide.
Yes, once the solutions is built and up and running, we can give our services for administering and maintaining it. However, if it is a solution that has been done by a different party, need to analyze first and then decide.