Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in ecommerce
    Analytics Technology Drives Conversions for Your eCommerce Site
    5 Min Read
    CRM Analytics
    CRM Analytics Helps Content Creators Develop an Edge in a Saturated Market
    5 Min Read
    data analytics and commerce media
    Leveraging Commerce Media & Data Analytics in Ecommerce
    8 Min Read
    big data in healthcare
    Leveraging Big Data and Analytics to Enhance Patient-Centered Care
    5 Min Read
    instagram visibility
    Data Analytics Plays a Key Role in Improving Instagram Visibility
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Using Microsoft Azure to Optimize Ecommerce Data for POS Solutions
Share
Notification Show More
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Software > Hadoop > Using Microsoft Azure to Optimize Ecommerce Data for POS Solutions
Big DataBusiness IntelligenceData ManagementHadoopMarketingSoftware

Using Microsoft Azure to Optimize Ecommerce Data for POS Solutions

Ryan Kh
Last updated: September 8, 2017 11:04 pm
Ryan Kh
6 Min Read
Ecommerce Data
SHARE

E-commerce brands have become very dependent on Hadoop tools to access big data to optimize their marketing, logistics and customer service strategies. While a number of Hadoop platforms have the functionality they need to optimize ecommerce data, Microsoft Azure is one of the most popular.

Contents
Breadth of Supported Data TypesAll-Encompassing IaaS ModelUsing Personalization for POS SystemsAbility to handle sporadic traffic surgesMicrosoft Azure is a Scalable Solution for E-commerce Brands

Mike Hanrahan, CTO of Jet.com states that Azure has played an important role in optimizing and scaling their ecommerce funnels.

“To be one of the best e-commerce destinations in the US, we will have to handle millions of customers…. That requires a top-class e-commerce system built on a flexible, open cloud platform. That is exactly what we got with Azure.”

One of the primary reasons Azure is a preferred solution for e-commerce providers is that it has a 99.9% service level agreement guarantee. This is the primary selling point Microsoft makes. However, there are a number of other reasons e-commerce brands use Azure, which are overlooked on Microsoft’s sales page.

More Read

Top ten RRReasons R is bad for you ?

BI Vendors Use Communities to Serve Customers
5 Crucial Data Driven Mobile Applications For Thriving SMEs
Tweets, Viruses and Bubbles
Predictive Analytics Limitations with Small Business Risk Assessments

Breadth of Supported Data Types

As demand for online products continues to rise, e-commerce brands are focusing more on scalability than ever before. Big data has provided numerous opportunities for friends to expand. They use it to:

  • Collect data on larger numbers of customers to optimize their marketing strategies.
  • Streamline there with just sticks models to meet customer demand more quickly.
  • Identify new market opportunities based on third-party data.

Brands need to tap many different types of data to optimize their strategies. However, such scalability isn’t possible with Hadoop environments that are restricted to homogenous data sets. In e-commerce applications, data comes in many different structured and unstructured formats, so it’s important to use a Hadoop environment that can handle it. Azure is capable of processing and storing any type of data set.

Before Hadoop was released by Apache, e-commerce brands had difficulty capitalizing off of the data they harvested. Even today, many Hadoop platforms aren’t robust enough to meet these demands.

Microsoft Azure gathers data more efficiently than other Hadoop tools, so it is ideal for e-commerce brands with high volume data requirements.

All-Encompassing IaaS Model

Microsoft Azure initially pitched itself to SMEs with an infrastructure as a service (IaaS) business model. The Microsoft Azure infrastructure includes:

  • The operating system
  • Middleware
  • Runtime management environment

Microsoft Azure’s IaaS model appealed to different customer bases for different reasons. Small and medium sized e-commerce brands choose it for the breath of services, so they don’t need to invest in their own infrastructure. Larger brands tend to already have their own operating systems, but still appreciate Azure for its vast computing power. Ironically, larger e-commerce brands seem to prefer at the most, because of its scalability.

Using Personalization for POS Systems

Personalization has become a very important part of ecommerce in recent years. Their ability to personalize content is limited to the scope of the data they can collect. Fortunately, Azure can help solutions such as Shopify POS collect much more data on their customers.

Ability to handle sporadic traffic surges

Microsoft Azure is primarily recognized for its ability to store and access big data with sophisticated Hadoop algorithms. However, e-commerce providers also choose Azure for another benefit that most other users overlook – it’s impressive bandwidth.

E-commerce companies must be able to cope with unexpected traffic surges, particularly near holiday seasons.

Chris Wen of GetCRM discusses this in his white paper Microsoft Azure, eCommerce and the digital workplace:

“Scalability refers to the capacity of the site and applications to accommodate a sudden, unexpected influx of visitors simultaneously. While traditional retailers can regulate the number of customers that enter their store, ecommerce retailers must anticipate that their site may be swamped by a deluge of customers during high traffic periods. Black Friday, Cyber Monday or any other coordinated discount event sees online visitors far beyond the norm. This puts a strain on their network bandwidth. Companies with onsite servers must scale their bandwidth to their most resource-intensive periods, which requires significant investment in onsite infrastructure and IT staff. If their capacity for data transfer is overwhelmed during a sales event, the website will crash, and the retailer can lose out on missed sales.”

Microsoft Azure customers can purchase over 500 terabytes of bandwidth every month, which is far more extensive than most other solutions. This massive bandwidth makes it much easier for e-commerce brands to handle traffic volume near peak sales periods.

Microsoft Azure is a Scalable Solution for E-commerce Brands

Hadoop-based environments give e-commerce brands a powerful advantage in a world that is increasingly governed by big data. Microsoft Azure is one of the most versatile Hadoop solutions available, so a growing number of e-commerce brands are leveraging it.

TAGGED:ecommerce datahadoop tools
Share This Article
Facebook Twitter Pinterest LinkedIn
Share
By Ryan Kh
Follow:
Ryan Kh is an experienced blogger, digital content & social marketer. Founder of Catalyst For Business and contributor to search giants like Yahoo Finance, MSN. He is passionate about covering topics like big data, business intelligence, startups & entrepreneurship. Email: ryankh14@icloud.com

Follow us on Facebook

Latest News

trusted data management
The Future of Trusted Data Management: Striking a Balance between AI and Human Collaboration
Artificial Intelligence Big Data Data Management
data analytics in ecommerce
Analytics Technology Drives Conversions for Your eCommerce Site
Analytics Exclusive
data grids in big data apps
Best Practices for Integrating Data Grids into Data-Intensive Apps
Big Data Exclusive
AI helps create discord server bots
AI-Driven Discord Bots Can Track Server Stats
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

machine learning and ecommerce store development
Machine Learning

Machine Learning Automates Online Store Development for Ecommerce Startups

6 Min Read
ai in ecommerce
Artificial Intelligence

Artificial Intelligence for eCommerce: A Closer Look

9 Min Read
Hadoop Tools SAP Hana
Big DataComputingHadoopNewsSoftware

How Hadoop Tools Shape SAP Hana’s Big Data Platform

5 Min Read
ecommerce data
Big DataExclusive

Types Of eCommerce Data You Should Note During Data Migration

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-24 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?