Data Warehouse is a data platform where organisations store all their information from external or internal sources . an external source can be data produced by Google analytics or facebook .Internal sources can be systems like CRM and Accounting systems .To be able to move all data from different sources types that use different access way (Rest API , SQL Query Syntax) Data Engineer need build data pipelines which Extract , Transform and Load (ETL) the data from DWH sources and loaded into the Data Warehouse .
It’s important that all data will be in a single place so it can be analysed easily .
Data warehouse is used by business intelligence (BI) , data analysts to get insights from the company activities and how to improve it by data science to do deep learning and to find behaviour patterns and AI algorithms which analyze big amounts of data and give the user the exact required information or find suspicious behaviour.
Following are examples for analysis processes that can run on a data warehouse .
Data warehouses are the biggest database in the organization as it stores all organization data .
For Data Warehouse (DWH) and BI we use three types of database solutions depending on the DWH size and the data platform the customer uses:
The first three listed above are more compatible as they support parallel query execution and analytic functions, MySQL only supports Version 8 and above.
It is important to define the correct DWH data model to have the best read and write performance and that it will answer all product / customer business requirements . In order to achieve this you need a good Data Architect.
Our Data Engineers use Python (small/medium DWH) and Spark (Huge Data Warehouse) to extract the data from source systems or messages queue systems like Kafka and RabbitMQ transform and load it into the DWH platform.
We use a data lake so all customer dimensions, fields and statistics are stored in one or more tables for easy and fast query analysis.
For vitalization we use Tableau, Qlik Sense and Power BI. Our experts build the optimized data layer above the DWH platform in order to best access the data to the data analysts and business stakeholders.
Contact Us today to hear more about our solutions. We will help build the best DWH to suit your business needs at the lowest cost and the best performance.
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