At BM Infotrade, we provide complete data engineering services which help businesses to make good use of their own data.
Modern data-driven organizations are propelled by data engineering. This involves designing, constructing and maintaining systems and architectures that facilitate collection, storage and analysis of large volumes of data. At BM Infotrade, we provide complete data engineering services which help businesses to make good use of their own data.
Data Engineering relies on ETL – Extract, Transform, and Load – processes that involve extracting raw data from various sources, transforming it into an analyzed format, and then loading it into storage servers. Our team provides robust ETL solutions, ensuring your data meets high-quality standards with consistency and accuracy during its preparation phase. When performing ETL, we use the ADF tool, which excels in gathering data from multiple sources into a single, unified source, streamlining the entire data engineering process for efficient analysis.
Azure Data Factory is a cloud-based service for integrating data allowing you to build workflow-based systems for automating movement and transformation of the data. Azure Data Factory is important for your business since it helps in streamlining the way the company deals with its data. Key Features: ● Data Integration: Seamlessly connect different sets of data from on-premises to cloud-based systems among others. ● Orchestration and Automation: Create complicated ETL workflows responsible for automating movement and transformation processes. ●
Read MoreAzure Functions is a serverless compute offering that allows you to run event-driven code without having to manage the infrastructure. To create high-capacity data processing solutions, BM Infotrade uses Azure Functions. Key Features: ● Serverless Architecture: Focus on developing codes leaving the infrastructure part out of your worry-zone ● Event-Driven: Trigger functions in response to events, such as data updates or API calls. ● Scalability: Automatically adjusts itself depending on the workload that is being handled.
The data warehouse stores structured data from different sources in one place. It allows businesses to perform complex queries and analyses of big data sets. At BM Infotrade encompasses designing and implementing enterprise-grade warehouse that has all-in-one business intelligence for you. Key Features: ● Centralized Data Storage: Pooling all related information in one place from multiple databases ● Advanced Analytics: Advanced query techniques enable us extract real meaning from your data ● Data Integration: Various sources of company’s
Read MoreThe Azure service that BM Infotrade uses is called Data Lake Storage Gen 1, and it’s built on Hadoop architecture, which is designed for Big Data workloads. It holds structured and unstructured data in massive amount for businesses to manage with big data processing and analytics. So, the firms with scalable and high performing storage systems that support advanced data analytics could prefer Gen 1. However, Data Lake Storage Gen 2 uses Azure Blob Storage as a foundation for storing large amounts of data flexibly and cost-effectively. This service combines Azure Blob Storage
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In this data-driven world, we at BM Infotrade offer extensive data engineering services that enable organizations to fully utilize their data. Our scalable, flexible and safe solutions cater for various needs of modern businesses like the advanced ETL processes as well as the powerful Azure tools such as Data Factory, Azure Functions, and Data Lake Storage. For instance, through seamless integration of data from multiple sources into a central data warehouse or innovative storage solutions, BM Infotrade enables efficient management, analysis and application of data by companies to make strategic decisions for growth in a
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