Modern and scalable data warehouse

Modern businesses generate large amounts of data from their customers, suppliers, partners, and internal systems. If carefully analyzed and interpreted, this data could provide immense insight into business growth and sustainability. The data collected from these different data sources comes in unstructured, semi-structured, and structured forms. It’s useful to transform the data into a structured format and send it to a central location. This is where businesses rely on data warehousing solutions to work as a central repository, where the data is collected for analytics as well as different tools used for data transformation.

A data warehouse is a central repository of information that can be analyzed to make better informed decisions. Data flows into a data warehouse from transactional systems, relational databases, and other sources, typically on a regular cadence. Business analysts, data scientists, and decision makers access the data through business intelligence (BI) tools, SQL clients, and other analytics applications.

indispensable to businesses to stay competitive

Data and analytics have become indispensable to businesses to stay competitive. Businesses use reports, dashboards, and analytics tools to extract insights from their data, monitor business performance, and support decision making. These reports, dashboards and analytics tools are powered by data warehouses, which store data efficiently to minimize I/O and deliver query results at blazing speeds to hundreds and thousands of users concurrently.

Running a data warehouse is becoming increasingly expensive and difficult to manage and scale. While costs amount to millions of dollars upfront for both software and hardware, it also takes months to plan, architect, and implement the data warehousing solution, which is not always viable for small and medium-sized businesses. There are different types of data warehouse solutions out there which need to be selected depending on the individual business requirements. Squalio will help you to choose the best solution for your business needs.

Deploying Data Warehouse

Take advantage of all of the core benefits associated with on-demand computing, such as access to seemingly limitless storage and compute capacity, and the ability to scale your system in parallel with the growing amount of data collected, stored, and queried, paying only for the resources you provision. Squalio offers a broad set of managed services that integrate seamlessly with each other so that you can quickly deploy an end-to-end analytics and data warehousing solution.


At the data collection stage, consider that you probably have different types of data, such as transactional data, log data, streaming data, and Internet of Things (IoT) data. Squalio will provide the most convinient solution for data storage for each of these types of data.


The collection process provides data that potentially has useful information. You can analyze the extracted information for intelligence that will help you grow your business. This intelligence might, for example, tell you about your user behavior and the relative popularity of your products.


Data warehouse is a central repository of information coming from one or more data sources. Using data warehouses, you can run fast analytics on large volumes of data and unearth patterns hidden in your data by leveraging BI tools. Data scientists query a data warehouse to perform offline analytics and spot trends.


After processing the data and making it available for further analysis, you need the right tools to analyze and visualize the processed data. In many cases, you can perform data analysis using the same tools you use for processing data or use other tools that works well with popular third-party BI solutions.

Ready to deploy data warehouse?