Our customer has been supporting Oracle based online transaction processing (OLTP) system. They decided to take advantage of the modern data analysis capabilities of SQL Server's data ...
Our Azure Data Factory Services
Azure Data Factory allows for easy hybrid data integration at scale. You can create, schedule, and manage data pipelines, orchestrating your data integration workflows wherever your data lives by running fully managed ETL/ELT service in the cloud.
See how we can help you use Azure Data Factory, a globally-deployed data movement service in the cloud, to ingest data from multiple on-premises and cloud sources. We can go even further, providing services such as Hadoop processing, machine learning analytics, and real-time data stream processing.
What We Do
Having great experience with building cloud business intelligence and advanced analytics systems for various companies worldwide, we can develop the perfect solution that fits your requirements. Specifically, we can:
- Provide technical expertise for mapping multiple data sources to Microsoft technology stack.
- Ensure credible and consistent data without needing to change data sources.
- Accelerate and improve decision-making solutions to increase operational efficiency.
- Deliver a familiar user experience while gaining a competitive advantage over business rivals.
- Help you with a Proof of Value project to identify market trends.
Getting started with Azure Data Factory
We’ve got a number of basic offerings to help you get started with Azure Data Factory.
If you have a Microsoft Software Assurance agreement, you would have received vouchers which allow for extending your on-premises applications to the public cloud to help reduce IT complexity and costs. See how DB Best can help you deploy your database solutions in the Microsoft Azure cloud.
Trust the team who built the SQL Server Migration Assistant to provide you with SSMA support in migrating your Oracle, SAP ASE, IBM DB2, MySQL, and Microsoft Access databases to SQL Server or Azure SQL Database.
This engagement allows you to integrate existing relational data sources with new big data sets using your team’s existing skills.
Building an Ultimate Cloud-based Business Intelligence Solution
One of the largest North American agricultural enterprises has been envisioning and designing a new cloud-based Business Intelligence and Data Warehousing architecture. They were using a fragmented system, based on Oracle databases, while the reports were presented as a mix of SQL Server Reporting Services (SSRS) and Excel dashboards.
We came up with a solution that allowed our client to consolidate all reports with Power BI dashboards. We migrated their original database to Azure SQL Data Warehouse to reduce licensing costs and improve the database performance.
Learn more about how we approached this migration project from the following video.
Here are some of the technologies we use to help your team accelerate data integration and manage your data transformation and analysis process. Our team has a deep understanding of how to organize raw data into meaningful data stores and data lakes for better business decisions.
See how DB Best can help you utilize Microsoft's on-demand real-time analytics service to power actionable intelligence.
Discover how DB Best can help your business implement Azure HDInsight, Microsoft's deployment of Hadoop on the Azure cloud.
Discover how DB Best can help your business utilize Microsoft's no-limits data lake to store and analyze petabyte-size files and trillions of objects and power your intelligent applications.
In the new world of cloud-based data, you might spend more time looking for data than analyzing it. Find out how DB Best can help your company get the most out of the Azure Data Catalog to make data asset discovery easy.
Put our Microsoft SQL Server Integration Services experience to use for seamless data extraction, transformation, and loading operations of any complexity.
One of the largest North American agricultural enterprises has been envisioning and designing a new cloud-based Business Intelligence and Data Warehousing architecture. They were using...