Companies collect thousands of data points each day about their products, transactions, processes, and customers. With this abundance of information, many face the issue of how to store the data they’ve collected so it’s both secure and accessible. Whether you’re looking for faster data access, more secure data storage, or a more cost-effective data strategy, there are a myriad of storage options to suit your needs.
When considering a new data storage solution, it’s difficult to know where to start. Data management solutions are constantly changing, and you’re likely looking for better ways to store, organize, and access both current and legacy data. Your data management strategy will ultimately determine your ability to make better data-driven decisions, which can help your organization make smarter investments, allocate resources more efficiently, and cut unnecessary costs.
Assessing your data storage needs is the first step to selecting a better data management and storage solution. Start by making a list of requirements for your company’s data storage and identifying your biggest data access challenges. You will need to evaluate a variety of factors – including data usage, data volume, data availability, security, compliance needs, and of course, budget – to determine what type of data storage solution will work best for your business.
Gathering and assessing all of these inputs isn’t easy. A solutions architect or strategic consulting partner can help you assess your organization’s specific requirements to construct a storage roadmap that aligns with the company’s business objectives and goals and make the best data storage choices for your organization.
Once you have a comprehensive list of your data storage requirements, you’ll need to evaluate how common data storage solutions fit your needs. Most companies are eager to modernize their data storage solutions to ensure their proprietary data is secure and accessible. It is also important to select your data storage strategy with the future in mind, since upgrading data storage methods is a significant financial and time-related investment.
Most companies use one of three types of storage solutions: on-premises data storage, cloud data storage, or a hybrid version of the two. Each option has its own pros and cons.
In the past, companies only had the option to use on-premises data servers like Oracle, SQL Server, DB2, or Teradata. On-premises solutions are expensive and require the purchase and maintenance of hardware and software, but there are also many benefits to organizations keeping their data on premises such as:
In addition to the cost, other drawbacks to this storage solution are:
About 15 years ago, cloud-based data storage became a popular option. It is a more efficient and cost-effective way to store large volumes of data with less infrastructure management.
Some of the benefits of cloud data storage include:
While this option is used by many organizations, some companies choose not to go this route due to:
The three largest players in the cloud storage ecosystem are also the most popular: AWS, Microsoft Azure, and Google Cloud Platform. Each offers a range of storage services, including data cloud storage, data warehousing, data lakes, and data archiving. All provide the benefits of cloud storage, so choosing between them becomes a matter of your organization’s specific needs and compatibility with your existing technology ecosystem. Popular data framework solutions like Hadoop and Snowflake can also be used in conjunction with these platforms to efficiently process and analyze stored data.
Finally, if an organization needs both the scalability of cloud storage and the security of on-premises storage, hybrid storage is often a good option. Hybrid solutions typically provide:
Drawbacks include:
After selecting the data storage solution and platform that are right for your business, your next steps are to organize your data, design your migration strategy, and then prepare your data for migration. It is often beneficial to tap into external resources like an expert data architect to help determine the structure of the stored data based on the data sources, the format of the data, and how much access is needed to historical data vs. current data. This can help you select whether data lakes, data warehouses, or databases will best fit your data needs. Plus, data engineering and ETL development experts are critical to facilitate your data migration.
Upgrading an organization’s data storage strategy is often a once-in-a-decade shift, so it should be carefully planned and implemented. Wavicle’s data consultants are committed to guiding you in this process by helping you find the right data storage solution and platform for your organization and addressing all other data management needs. Contact us today to get a customized solution.