Modern Data Warehouse: Understand everything about this concept
The Data Warehouse is a repository that a company uses to gather data it collects from all the systems and applications it uses. In general, this is a database installed on a corporate server, from which information is extracted to support insight and decision-making.
Recently, it has lost space to the Modern Data Warehouse concept. This structure comprises solutions that can be hybrid.
Want to understand everything about the subject and why a company should start thinking about using this type of storage as soon as possible? Read on!
What is Modern Data Warehouse?
The needs of a company in relation to the data it holds are changing. We have never seen so much data being produced in such a short time interval as now. Solutions that were perfect for gaining high-speed insights until a short time ago no longer provide the performance a company needs to run their business.
A traditional Data Warehouse compiles structured data into a single location but needs to be constantly updated to handle the volume that accumulates on their servers. This creates a high cost for maintaining an infrastructure that no longer delivers the performance the company needs.
Real-time response is essential. Even though most companies rely on structured data only, the proportion of unstructured data (NoSQL) has been increasing massively. Generating intelligence with content of this nature is a concern — none of this can be done using previous Data Warehouses at scale.
Therefore comes the concept of Modern Data Warehouses. This structure offers availability and high performance for querying information stored at the end of the BI process.
By using cloud computing features, companies no longer require local machines for data processing and its infrastructure can be scaled as quickly as the business demands, processing data faster than a Data Warehouse.
Another feature of these databases is that they have been optimized for NoSQL data, which are composed of information such as images, audio files, and data from Internet of Things devices. Combined as hybrid frameworks, modern warehouses process queries using local and remote warehouses to provide better experiences with BI solutions.
Why invest in Modern Data Warehouses?
Those who do not yet have a Data Warehouse should opt for the most modern option. It is more cost-effective and longer-lasting, as they already consider recent developments in Business Intelligence. In order for the solution to work, ideally the company should get the best performance possible, which Modern Data Warehouses are able to deliver nowadays.
The structure of the business greatly influences the decision. Because BI is a technology that benefits from agility, storing some data locally is a good option for downtimes that do not detract from the usability of systems.
Companies that already have warehouses, such as large online stores, can maintain these structures and still benefit from data migration to the cloud. The characteristics of the data handled by the system will define what is best for each organization.
If the company deals with unstructured data most of the time, the most modern view is the one indicated previously. A good solutions provider will be able to plan and point out the most interesting resources to an enterprise, considering all its peculiarities.
A study is always needed to determine whether migration is advantageous. It may require a prolonged effort and should not be done overnight. Proofs of concept, strategy, and features should be evaluated to check if the Modern Data Warehouse will work in the business and whether the paradigm shift is cost-effective.
What benefits does a company get from migration?
Business Intelligence and Big Data are part of a constantly evolving industry. Thus, they need continuous change to keep them working for the benefit of the business. Most of the time, old storage processes fail to deliver the benefits they offer.
A data management system is not useful if it does not deliver the answers the customer seeks. Working on improvements so that they continue to support decision making and facilitating access to data is the main reason to think about migration. Switching to off-premise storage is a great decision that brings tremendous results.
Platforms like Azure are much more robust than any kind of on-premise warehouse. Microsoft invests heavily in security, ensuring their customers the data they hold is protected using the most advanced features on the market.
No other cloud provider has certifications as relevant as Microsoft. In addition, the guarantees that the company offers work as a driver for the migration.
Digital transformation has a huge weight for business decisions. Local data warehouses have been good investments, but they are not capable of meeting current needs.
Moving a company’s insight generation to a more modern view is to understand that a Data Warehouse is not a single technology but rather a set of solutions that serves the organization’s purposes as efficiently as possible.
Integration with Big Data
Big Data is made up of unstructured data. A BI solution that does not take this into consideration brings insufficient results to the client because the cloud is the bridge between the two technologies and a trend that should not be ignored.
Since companies invest a lot on the use of business intelligence solutions, not all of them are willing to migrate to Modern Data Warehouses right away. In these cases, a hybrid configuration may be indicated.
Such an option is interesting because it reduces the costs and complexity of managing existing information, as well as promoting a progressive integration that will lead the company to the full use of data warehouses in the cloud.
Arbit is a specialist in offering solutions to lead a business to the Modern Data Warehouse. Talk to one of our experts and find the most attractive alternative for your needs!
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