A data warehouse (DWH) is a centralized repository of integrated from one or more sources. The main two approaches used to integrate data into the Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT). The core component of business intelligence enables structured storing, reporting and analysis.
The DWH implementation and management can be assigned to either a company’s in-house IT team or a professional consultancy. There is also a possibility to eliminate the burden of DWH design, implementation, maintenance, and support by opting for DWaaS.
Data warehouse fundamentals
See the benefits your company can obtain by moving your DWH to the cloud, integrating big data into the DWH, and turning to DWaaS.
- Data Warehouse Pricing: Things To Be Aware Of
Get insight into data warehouse price components and the ranges of DWH costs.
- How to Build a Data Warehouse from Scratch?
Explore a step-by-step guide on risk-free data warehouse development.
- Data Warehouse Design: How To Structure Your Assets
Check out what architectural approaches are employed to design a beneficial DWH structure for your business.
- A Big Data Warehouse – a Want or a Need?
Find out the definition and purpose of a big data warehouse and what benefits it brings to the decision-making process.
- Lake vs. Data Warehouse: Why You Don’t Have To Choose
Learn about the difference and synergy between a data lake and define how to structure your big solution in accordance with your business needs.
Project examples
- Big data warehouse implementation for advertising channel analysis in 10+ countries
Candidli implemented a big analytics solution to allow a market research company to cope with the continuously growing amount of conduct faster big analyses.
- Implementation of a data warehouse and analytics for a telecom company
Candidli designed and implemented a data analytics solution to enable the customer to collect (including big data) from multiple sources and get valuable insights into customer behavior.
- BI implementation for a multi-business corporation
Candidli delivered a DWH and analytics solution to allow the customer to integrate data from multiple applications specific to their business directions and optimize business processes with company-wide analytics.
- BI implementation for the producer of phytotherapy products
Candidli implemented a DWH as a part of a BI solution to allow the customer to consolidate disparate data sources under one roof and embrace company-wide reporting.
