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Data Engineering

At BM Infotrade, we provide complete data engineering services which help businesses to make good use of their own data.

Certified and Experienced Engineers
PAN India
Comprehensive Data Engineering Solutions by BM Infotrade

Comprehensive Data Engineering Solutions by BM Infotrade

Today’s data-driven companies depend on Data Engineering to set up and manage systems for effective data collection, storage, and analysis. BM Infotrade offers secure, flexible, and scalable data engineering solutions that enable businesses to use their data effectively. We specialize in ETL , Azure Data Factory , Azure Function , Data Warehouse , and Data Lake Storage , which ensures that an organization’s data is easily integrated, stored, and processed and provides the organization with the ability to make strategic, data-driven decisions.

Optimized ETL (Extract, Transform, Load) Processes

ETL (Extract, Transform, Load) is one of the important elements of the data engineering process which enables organizations to collect unprocessed data from different sources, structure it, and store it on servers for future analysis. BM Infotrade offers comprehensive solutions in ETL - Extract, Transform, and Load to ensure data uniformity, correctness, and dependability in the preparation process. We apply EDF tools and automate the data extraction process from various sources to filter them into one central storage location for further analysis.

 

Optimized ETL (Extract, Transform, Load) Processes
Advanced-Data Integration with Azure Data Factory

Advanced-Data Integration with Azure Data Factory

BM Infotrade focuses on Azure Data Factory Development Services as a part of its core business. They have built a specialist team which implements Azure Data Factory in a way that automates, moves, and transforms data. With proper data connectivity in place, companies can now integrate both on-premises and cloud platforms in a centralized manner. With orchestration and automation, companies can build complex ETL workflows at scale, reducing manual work. Businesses can now achieve scale and process a lot of data without having issuess with performance. Coupled with monitoring, management provides deep

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Serverless Computing with Azure Function

Azure Function is a serverless computing service, that empowers companies to execute event-based code without an infrastructure management combination. BM Infotrade makes use of Azure Function for the development of automated high-volume data processing solutions and the efficient automation of data chores. Eliminating the need to manage any infrastructure allows companies to put their full focus on developing code. Event-driven triggers help to ensure that processes run automatically whenever any data updates are made or API calls are received. Applications are adjusted dynamically with load scalping. Integrating with other Azure services as well as

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Serverless Computing with Azure Function
Centralized Data Management with Data Warehouse

Centralized Data Management with Data Warehouse

Companies can utilize big data technology to get intelligent answers using A Data Warehouse. BM Infotrade deals with the architecture and development of business Data Warehouse solutions , giving companies complete business intelligence functionality that is second to none. With a centralized database, all structured data can be stored in a single location, facilitating improved management and access. Powerful data analytics lets companies derive valuable insights from their data. Data integration techniques enable the incorporation of various sources of data into a single source, which makes it easier to make decisions. It is possible

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Scalable and Secure Data Storage with Data Lake Storage

BM Infotrade enables companies to enhance their storage capabilities with high-performance and scalable solutions using Data Lake Storage. The architecture of Data Lake Storage Gen 1 is based on Hadoop. With this architecture, an organization can manage structured and unstructured data effortlessly. This solution is perfect for advanced analytics where seamless data processing and transformation is required.

For businesses looking for cost-friendly yet high-capacity storage, Data Lake Storage Gen 2 utilizes Azure Blob Storage for improved data management. With hierarchical namespaces, businesses can organize their data better

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Scalable and Secure Data Storage with Data Lake Storage
Conclusion

Conclusion

Today, data is arguably one of the most powerful instruments which can be used to grow a business. With this in mind, BM Infotrade offers tailor-made Data Engineering services using ETL, Azure Data Factory, Azure Function, Data Warehouse, and Data Lake Storage technologies to achieve growth while keeping a business flexible, scalable, and secure. Integrating data from different sources and centralizing it into a Data Warehouse with modern storage ensures that businesses will be able to handle, edit, and utilize their data efficiently.                     

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