PowerPoint Presentation

[Audio] At our company, we are committed to creating a strong and innovative platform that enables developers, learners, and users alike to benefit from cloud-based ETL project initiation. We understand that data is the key to success and so we have developed a reliable Azure technical architecture to ensure that raw data is accurately gathered from databases, file formats, or applications for the purpose of batch ingestion, one-time load, and data integration. In this presentation, we will explore the concept of azure architecture and how it works for ETL projects..

[Audio] Our company's objective is to bring developers and learners together. To gain a comprehensive understanding of our cloud-based ETL project, we'd like to illustrate our Azure architecture. We have a range of data we can apply to the beginning of the process, like Microsoft Dynamics 365, structured data files, Google Analytics data, and historical data. Our engineers normally collect essential data from a variety of sites, such as databases, file formats, or applications. This data may be arranged and have varied interpretations, posing a challenge. Using Azure, we can then modify and load the data into an environment that renders it effortless to analyze and interpret. This is the opening phase of our process, enabling you to obtain the knowledge you require with simplicity..

[Audio] We are here to discuss our company's motto, to bring developers and learners together and how using azure architecture we can better understand how cloud based ETL project initiates. Azure Data Lake Store, Hot Storage, Curated Staging and Data Warehouse enable us with the necessary infrastructure to Present and Consume Data. Moreover, Azure Analysis Services provide us with the necessary tools for Big Data Processing and for Operational Self Service. Through Power BI Analytics, Massive Parallel Processing, Mobile Reports and Analytical Cubes we can Prepare and Process Data. We also consider Data Quality, Data Security and Azure ML Studio, Data APIs, Sales, Supply Chain, Finance, Customers and Order Raising essential components of our architecture. Furthermore, Scheduling & Delivery, Picking & Dispensing, Embedded Analytics, Batch Ingestion, One Time Load, Serving, Structured Data Files and Historical Data are also essential to our architecture, alongside Google Analytics and Microsoft Dynamics 365 FinOps & CE. In conclusion, I would like to thank you all for your time and attention..