Companies are looking for retention solutions that better meet their regular needs as a result of the data’s rapid increase. Businesses today believe that a cloud solution is their key to more data control and that it requires less financial commitment than a server-based, data center-based solution. Companies are also discovering that data storage is becoming a bigger problem at the same time. In fact, 60% of businesses are budgeting money specifically for extra, safe storage space for their sensitive data.
Although a cloud solution might offer more security, scalability, and flexibility, one problem still exists: how well-equipped people in the C-suite and IT department are to handle the cloud itself. Your team must respond to every issue with the appropriate knowledge and plans that have been unanimously agreed by the entire organisation, whether there has been a security breach or only normal maintenance has to be done. Without knowing how to use a cloud storage platform to its fullest, IT may rush to locate another safe, practical file-sharing system, which could cause problems with data security.
Informing your IT team and the rest of your organisation about a cloud solution can make the difference between your firm moving forward and stagnating. When it comes to storing data or scaling back as needed, a new on-site data centre can take a year to build and become outdated as soon as it opens. Your company will also be tethered to a hardware solution where you’re paying for 800 gigabytes of storage even though you only need 550 one month or 975 the next.
The five recommended practises for building a flexible cloud system that your staff can build, maintain, and scale over time are listed below to help businesses make this happen.
1. The Right Training is Required Before Switching to a Cloud Solution
If staff members aren’t properly trained, moving data to a new storage platform, or “migration,” can be a pain. Additionally, if the hardware in your company’s actual server or data centre is getting old, it can be necessary. You cannot instantly transfer all of your data from A to B in the event that the server is damaged.
In order for organisations to remain competitive, moving from a server to the cloud must be done as part of an informed, step-by-step procedure. In fact, according to the 2016 Cloud Computing Executive Summary from IDG Enterprise, 56 percent of firms questioned were aiming to move more of their IT operations to the cloud. According to the same poll, 70% of U.S. corporations utilise private, public, hybrid, or a combination of various cloud solutions; this percentage is anticipated to rise as more companies use cloud solutions.
The solution is to locate people who can be trained to create a process design in waves, outlining key data dependencies to enable a complete, secure transfer. They will need to comprehend scalability, or how to begin with a minimal workload and then increase it once the new cloud system is operating as intended.
2. Keeping up with and understanding various kinds of cloud solutions
There are numerous distinct cloud configurations, including multi-cloud, hybrid, and hybrid IT solutions, therefore not all clouds are made equal. A hybrid solution may give your business greater control than a public cloud. There are numerous possible deployment strategies when it comes to a hybrid IT system, which is described by The National Institute of Standards and Technology as “a combination of two or more clouds (private, communal, or public)”. Businesses can access public cloud services while still keeping their own private cloud networks thanks to hybrid cloud solutions, which have been proved to give them the best of both worlds. In reality, the market for data analytics will experience tremendous growth, growing to $203 billion by the year 2020.
However, some businesses may not wish to consider the value of a hybrid solution, preferring to simply use public clouds. They frequently want to exploit the public clouds’ scalability and flexibility straight soon. This is another another reason why staff members must training on the various cloud solutions so they can select one that best meets their company’s needs rather than passing trends.
3. Integrating Easily with Additional Data Elements
It will also become more significant how cloud computing and other developing fields of technology are interconnected. A more comprehensive understanding of the network and associated devices as well as the data flowing through them will be possible thanks to the integration of big data analytics, cloud computing, and machine learning. This is especially true for companies that heavily rely on e-commerce.
Employees must be aware of the interdependencies between these technologies in order for the enterprise clouds to operate efficiently and securely. They need to be aware of the locations of the connections and, if mapping out data transfers, where they go.
4. Taking Various Industries’ Needs Into Consideration
Different businesses will have more specialised needs when it comes to storing, managing, and using their cloud platforms as the pace of cloud computing accelerates. Healthcare organisations, for instance, require a cloud-based solution rather than an on-premises one due to the sensitivity of the data they hold. In addition to data sensitivity, certain research projects can have enormous storage requirements. For example, at the Icahn School of Medicine at Mount Sinai, researchers crunched more than 2,000 DNA sequences—or more than 100 terabytes of data—in order to study breast and ovarian cancer.
Employees need to feel at ease dealing with such huge and distinctive datasets and be ready to enter planning mode, carefully curating the data so it can be stored and accessed with ease.
5. Acquiring and Maintaining Cloud Data Knowledge
If employees have complete access to a company’s cloud platform, they can stay one step ahead of the competition. They will not only have an advantage over other businesses when it comes to safeguarding sensitive information, but the money and time saved by a cloud solution will also enable them to take other crucial business decisions regarding add-ons, which will help them expand even further.
In order to achieve this, there are top-notch training courses available for staff members to master the foundations and acquire certification in operating cloud platforms. The Google Cloud Platform Big Data & Machine Learning Fundamentals, top-notch big data training, and learning capabilities are a few of these learning chances. Employees can learn how to migrate workloads using Cloud SQL and Cloud Dataproc, how to master interactive data analysis using BigQuery and Datalab, and how to train and use neural networks using TensorFlow by taking the Simplilearn Google Certified Professional-Data Engineer certification training course. Additionally, it will aid in their comprehension of DataFlow, Task Queues, and data processing architectures.