01 Aug 2022

Should You Choose AWS Analytics in Business?

This blog has been updated on - October 11, 2023

Are you planning to invest in AWS analytics? Familiarizing yourself with its pros and cons can help you make a more confident decision.

Amazon's AWS needs no introduction to the modern data-driven cloud space. The largest and most active ecosystem belongs to AWS, which has masses of active customers and several partners worldwide.

The data input, storage, administration, and governance layers of databases, data warehouses, and data lakes are all built separately by customers. The advantage of data analytics with AWS comes into play when customers cannot obtain deeper insights due to:

  • Data silos emerging from independent data stores,

  • Complicated processes of data integration,

  • Wastage of resources during data transportation,

  • Challenges of handling inconsistent or unstructured data.

In this blog, we will explore the benefits and drawbacks of AWS Analytics and analyze if it's the right fit for your business.

What is AWS Analytics?

Amazon Web Services, AWS generated revenues of USD 80 billion via cloud services in 2022, commanding over 32% of the global market.

A comprehensive range of data analytics solutions is available from Amazon Web Services (AWS). That makes it easier to build, scale, protect, and deploy big data products.

Big data solutions offer the tools necessary for practical data analysis. These perceptions can assist businesses in using data to their advantage.

The sophisticated needs for batch and real-time processing, managing unstructured data, and high-velocity transactions have been met by advancing database maintenance solutions beyond the typical data warehouse.

Customers of AWS analytics have access to a wide range of capabilities, including machine learning for apps and real-time data processing.

Here are the five prominent AWS solutions for cloud data analytics:

  • Data Pipeline

  • Elastic Map Reduce (EMR)

  • AWS Kinesis data analytics

  • Machine Learning

  • Amazon Redshift

Other third-party solutions are available to diversify and boost the AWS data analytics portfolio.

Get actionable insights with the right data strategy and cloud platform. Deploy data engineering to modernize your cloud-driven data.

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Advantages and Disadvantages of AWS Data Analytics

Let's dive deeper into the pros and cons of hiring AWS analytics experts to help you understand if this solution is the best for your business moving forward.

Pros and Cons of AWS Analytics

Pros of AWS-certified Data Analytics

Brilliant Security

The main advantages of AWS data analytics services are robust security and the capacity to protect your data and IT infrastructure.

Your data will always be safe and secure, thanks to the excellent security measures of AWS.

Easy-to-use Interface

The AWS Management Console, a very user-friendly interface, is what you see when you sign up for AWS IoT analytics. This server interface makes access to a vast selection of apps and services possible.

Although it is advised that only IT professionals should operate this system, it doesn't require an exceptionally high degree of technical competence or knowledge.

AWS offers well-documented web services APIs that you may use to access the platform.

With the benefits of SaaS in cloud computing, you effectively rent Amazon's infrastructure when you join up. That makes deploying software, applications, and IT ecosystems easier.

Highly Scalable and Cost-efficient

The flexibility of AWS is one of its main advantages. There is no cap on how much of its infrastructure is available to you at any given time.

One has a range of options to try with AWS analytics. That includes the selection of programming language, Operating System (OS), and web app platform. The platform simplifies adding any service or piece of software you choose to an online ecosystem.

That facilitates the deployment of new platforms and the database migration from current ones. You also have the choice of affordability in addition to flexibility.

Imagine having access to various platforms and infrastructure at a reasonable cost. AWS offers and delivers just that. As a result, you may use it as needed without worrying about the expense accumulating while you are away.

Unlimited Server Capability

AWS meets every IT-related need of your business. Even better, enterprises can have them without worrying about service interruption. Also, this is much superior and more reliable than standard hard drives.

AWS data analytics dominates the cloud computing sector because of its limitless capacity. This type of data analytics service powers and manages thousands of enterprises and is incorporated by more than a million businesses worldwide.

One Solution for Cloud Computing and IT

Although AWS was primarily intended for cloud computing and storage, it has already grown to include over 70 more services. That incorporates AWS analytics, mobile, networking, database, and software.

It offers a ready-to-use platform that you may utilize to boost productivity and efficiency.

All its services are accessible for rent to just about anybody who can afford it or wants it. It is sometimes called an infrastructure as a service (IaaS) platform.

This platform is a no-brainer if you have typical IT demands. With AWS data analytics service, companies can avoid tracking several suppliers because a single platform can manage all your demands.

Cons of AWS-certified Data Analytics

Inadequate Resources

AWS analytics only offers resources for specific regions. Hence, the number of data analytics tools or help you can access depends on your location.

AWS also limits users from consuming too many resources and spending too much money. That has been introduced to restrict those who can exploit the system's resources with cyber-attacks.

However, the non-availability of information on the resources used is a main drawback. If you need more, you may always ask for an increase.

These precautions contribute to fraud data analytics and guarantee the safety of all platform users.

Billing Issues and Costs

Despite how fantastic AWS analytics is, its billing needs to improve. It's confusing for small business owners and non-tech users.

Customers have already encountered bill shock with AWS. AWS suggests that one can set the monitoring process for the account to prevent the same. By doing so, AWS can alert you with an estimate of your monthly spending total and the cost of each service you utilize.

Additionally, working via a reseller is recommended. They will still provide the same services to you, but this time, you will be able to comprehend the billing dynamics.

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How Can BluEnt Help You Deploy and Manage AWS Resources with the Benefits of Data Analytics?

AWS Analytics has several advantages and, of course, a few disadvantages that can't be overlooked. It's significant to be aware of the complicated architecture that makes up AWS for data engineering and analytics.

Moving to the cloud is now more crucial than ever. However, you don't need to be indecisive while selecting the right fit for your cloud computing needs.

AWS can be massively transformational for your business with its accumulated knowledge and experience. However, hiring skilled and AWS-certified professionals is always imperative to make the most out of it.

At BluEnt, our data and cloud computing specialists have unparalleled mastery in harnessing cloud and data-driven solutions to boost enterprise productivity and results.

Our AWS-certified experts assist businesses in migrating to AWS analytics and maximizing their cloud usage. Our core competencies include enterprise-level data analytics services, data engineering, data visualization, and data science services.

Selecting the best cloud platform can be perplexing, but it will make all the difference for your company. Let's join hands to experience a flawless cloud-computing journey with the benefits of data analytics and insights.

Look at our case studies to learn how we helped our clients achieve maximum value with data analytics and cloud computing solutions. 

Frequently Asked Questions

How does AWS IoT analytics work?

IoT analytics is usually implemented for wearables like smartwatches, fitness gear, and healthcare instruments.

It's easy to start with AWS IoT analytics as it combines fully integrated AWS IoT Core. Here is how you can use it:

  • Select the channel and choose the data you desire to access, store, and analyze.

  • Configure pipelines to process your data once you complete setting up the channel.

  • Use built-in SQL query engine to query IoT-optimized data and answer specific business questions.

  • Create visualizations and dashboards to present IoT data analytics data using Amazon QuickSight.

What are the components of AWS analytics services?

AWS web analytics aims to help you extract data insights and optimize them for business performance, outcomes, and profitability.

Here are the most popular services to avail for data analytics in AWS:

  • Amazon CloudSearch

  • Amazon EMR

  • Amazon DataZone

  • Amazon Kinesis Data Firehose

  • Amazon Kinesis Data Streams

  • Amazon Data Exchange

  • Amazon Data Pipeline

  • Amazon Redshift

  • Amazon OpenSearch Serverless

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Bluent Tech. "Should You Choose AWS Analytics in Business?" BluEnt Byte, Aug. 01, 2022, https://www.bluent.com/blog/aws-analytics-pros-and-cons/.

Bluent Tech. (2022, August 01). Should You Choose AWS Analytics in Business?. Retrieved from https://www.bluent.com/blog/aws-analytics-pros-and-cons/

Bluent Tech. "Should You Choose AWS Analytics in Business?" Bluent Tech https://www.bluent.com/blog/aws-analytics-pros-and-cons/ (accessed August 01, 2022 ).

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