What is Data Warehousing, Exactly?
If you’re a marketer, business analyst or data scientist, you know the significance of proper data organization and analysis in making the right core decisions. A data warehouse services (DWH) is a centralized data management system that organizes and stores all your data from all sources in one repository.
Data warehousing is invaluably helpful for businesses and entities that deal with large amounts of data sourced from various channels, including but not limited to CRMs, Legacy Systems, Log Files, Cloud Applications, IoT Devices, Data Lakes, External APIs and Machine-generated Data. But, how exactly is it helpful?
Inquire Now!Key Benefits of Using a Data Warehouse Services
The ultimate objective of using a data warehouse services is to be able to monitor real-time performance, analyze large-volume data across sources and extract valuable insights to improve decision-making. Key elements that play huge roles in this process are:
Data warehouse services give you a means to review your historical data efficiently. Having all your data across time in one place, in an organized manner, gives you the flexibility to study trends and performance, and adapt accordingly.
It consumes a lot of time, energy and resources to gather and study data from different sources. Having a centralized data management system will improve your productivity multifold and enable you to make adept decisions.
Having all data accumulated and properly organized in one system from all sources simply means the data you are looking at is of high quality. Because it comes from multiple sources, it will be consistent and more accurate.
Data Warehousing Essentials
Let’s talk about what our cloud data warehousing services comprise. These key elements are of utmost importance and having proficiency in these is vital.
Data Integration
Expertise in data integration technologies & tools is crucial when integrating data from various sources.
Extract, Transform, Load
Proficiency in ETL tools is vital for extracting, transforming and loading data into the data warehouse services.
SQL and Query Proficiency
SQL is the primary language for querying data, so proficiency in writing complex queries is very crucial.
Data Governance and Security
Implementing data governance and ensuring data quality, privacy and security is paramount in data warehousing.
Data Analysis
Skills in statistical analysis, machine learning and data visualization are extremely valuable in cloud DWH.
Business Intelligence
Deep understanding of BI tools is crucial for creating meaningful reports, dashboards and visualizations.
Cloud Computing
Cloud data warehousing is the future, hence familiarity with cloud platforms like AWS, Azure, etc. is a must.
