Why move to the cloud?

Why move to the cloud?

In the past, the cloud computing technology adopted by the larger companies was often out of reach for smaller businesses. Only the large enterprises with big budgets to spend on IT infrastructure could reap the benefits of cloud. But further advancements in cloud technologies have allowed companies of all sizes to store their information at a remote datacenter reducing the use of on-premises servers.  

A study by the International Data Group states that 69% of businesses are already using cloud-based solutions in some capacity while 18% of businesses are planning to implement it at some point. The cloud now plays a crucial role in any digital transformation, enabling businesses across industries to leverage their data for advanced analytics, AI solutions, and more.  

What is the cloud 

Simply put, the cloud refers to the software and services that are accessed over the internet, instead of your computer hard drives. Some examples of cloud services include Microsoft OneDrive, Google Drive, Apple iCloud, Dropbox, and many more.  

Before the cloud existed, businesses had to purchase and manage their servers to perform several operations. This led to increased spending on buying more space to avoid downtime and outages and to accommodate peak traffic volumes.  

Today’s cloud services allow organizations to reduce the need for onsite servers, maintenance personnel, and other costly IT infrastructure. 

Mainly, cloud computing models are categorized as private, public, and hybrid: 

  • Private cloud is a proprietary cloud environment dedicated to a single business unit, with physical components stored on-premises or at a third-party cloud vendor’s data center. This model allows a high degree of control and security.  
  • Public cloud uses an internet connection to store and manage access to data and applications. It provides a fully virtual environment for sharing and leveraging resources whenever needed.  It is highly scalable, cost-effective, and delivers robust security to protect user data from being accessed by other tenants.  
  • Hybrid cloud is a combination of public and private cloud, allowing organizations to reap the benefits of sharing resources while using the existing IT infrastructure for enhanced security. This model helps organizations store and manage internal confidential data and access it via applications running in the public cloud.

Opportunities and benefits of moving to the cloud 

The cloud data warehouse has become an important solution for modern business intelligence and analytics, allowing organizations to use advanced analytics to gain business insights that can improve operations, enhance customer service, and ultimately gain competitive advantage. 

Cloud-based data warehousing generally offers more security and stability at much more flexible costs than on-premises alternatives. Moreover, it brings functionality and flexibility, making it a useful component in your business strategy. 

Cloud data warehouses 

Having your data warehousing in the cloud allows clients to adjust their bandwidth in a matter of minutes rather than weeks. The data warehouse is also capable of scaling with the company rather than requiring expensive upgrades after each new stage of development. 

For most companies pivoting away from on premises, data warehousing is the best and most cost-effective solution to data warehousing needs. More and more it takes a degree of specialization to keep data safe from various security threats and other potential dangers, as part of a service it is both easier and cheaper for the data warehousing service to handle specialized tasks such as online security. 

 Scalability and flexibility are almost always greater with online services as opposed to the alternatives this flexibility can save clients’ money from overcapacity. With all these considerations, the cost to move to the cloud may be high initially but the costs once the transfer is complete are predictable, using a pay as you go process. 

Microsoft Azure 

Microsoft Azure benefits

Azure is the second largest but fastest growing cloud computing platform that allows users to access and manage cloud services and resources provided by Microsoft. 

Microsoft Azure has high standards for privacy, reliability, and scalability embedded deeply into its design. 

By unifying data warehousing and big data analytics systems, Microsoft is creating a game-changer that can help break down data siloes, improve collaboration, and help teams accomplish more with data. Click here to see why we recommend Azure Synapse to our customers. Being a Microsoft Gold Partner since 2011, Neal holds deep expertise in running end-to-end migration projects and can jump in to help out at any stage of the migration process.
 

Scalability traditionally is a challenge for data warehouses, especially those with regulatory, seasonal, or end-of-period peak loads. Load variance is oftentimes difficult for on-premises data warehouses to expediently handle most of the time, which will lead to expensive overcapacity. 

Microsoft Azure is a public cloud computing platform that provides a range of cloud services including computing, analysis, storage, and networking. The users can pick and choose from these services to develop and scale new applications, or run existing applications in the public cloud.  

Getting started 

Over the past years, Neal Analytics has been helping customers in cloud migrations and scaling out new cloud databases faster than ever by offering accelerator programs. To achieve these goals, we’ve launched the new Data Modernization in a Month, or the DMIM program, to help you quickly and easily implement databases on Azure. 

Being a proud Microsoft partner, Neal has been selected to deliver Data Platform in 30 days (DPi30) engagements, which includes access to Microsoft-provided tooling to improve both the database planning and implementation processes. 

Interested in registering for the DMIM program? Click here or contact us to chat with our cloud migration experts.  

Learn more 

 

This blog was originally published 4/11/2017 and has since been updated.