Azure ppt for microsoft azure infrastracture as a service iaas.pptx

1. Analyzed Sales Data for FMCG Products, Resulting in a 15% Increase in Sales Forecasting Accuracy
Interviewer: "Tell me about how you increased sales forecasting accuracy using SQL and Python."
Response:a
In my previous role, I was tasked with improving the accuracy of sales forecasts for FMCG products. We had data from multiple sources—sales data, market trends, and promotional activities—and I used SQL to extract this data from our databases. Python played a key role in processing and analyzing this data. I leveraged libraries like pandas for data cleaning and numpy for statistical analysis.
By implementing time series analysis and identifying seasonality patterns, I was able to make more accurate predictions. This resulted in a 15% increase in our sales forecasting accuracy, which allowed the business to better plan inventory levels and reduce stockouts.

1. Microsoft Azure: Infrastructure as a Service (IaaS)

2. Module 1: Microsoft Azure Overview Section 1: Cloud Computing Introduction

3. Prerequisites Windows 7 - 10, Windows Server 2008 R2 and Windows Server 2012 (R2) Microsoft Azure PowerShell Microsoft Visual Studio 2015 Update 2 (for ARM labs) Active Azure Subscription

4. Cloud Computing Patterns t Compute Inactivity Period t t t On and Off On and off workloads (e.g. batch job) Over provisioned capacity is wasted Time to market can be cumbersome Unpredictable Bursting Unexpected/unplanned peak in demand Sudden spike impacts performance Cannot over provision for extreme cases Compute Growing Fast Successful services needs to grow/scale Keeping up with growth is a big IT challenge Cannot provision hardware fast enough Compute Predictable Bursting Services with micro seasonality trends Peaks due to periodic increased demand IT complexity and wasted capacity Compute

5. Cloud Computing Software as a Service C onsume SaaS Platform as a Service B uild PaaS Infrastructure as a Service H ost IaaS