Type to search

Share

What is Modern Data Warehouse

A Modern Data Warehouse is a cloud-based solution that gathers and stores that information. Organizations can process this data to make intelligent decisions. That’s why various organizations use a Modern Data Warehouse to improve their finances, human resources, and operations business processes. Quality cloud-based warehouse departments need this information to make smarter decisions.

Modern Data Warehouse Pyramid

There are five different components of a Modern Data Warehouse.

Level 1: Data Acquisition

Data acquisition can come from a variety of sources such as:

  • IoT devices
  • Social media posts
  • YouTube videos
  • Website content
  • Customer data
  • Enterprise Resource Planning
  • Legacy data stores

Level 2: Data Engineering

Once you acquired it, you need to upload it into the data warehouse. Data engineering uses pipelines and ETL (extract, transform, load) tools. Using these different tools, you can upload that information to a data warehouse similar to a factory. Data engineering is similar to a truck bringing raw materials into a factory.

Level 3: Data Management Governance

Once the data comes into the factory, you need someone to evaluate the quality of the data. You then need to steward that data because security and privacy must be considered.

Data governance helps ensure the quality of the info by stewarding, prepping, and cleaning the data to ensure it is ready for analysis.

Level 4: Reporting and Business Intelligence

Once you prep and clean the data, you can start using factory analysis to take that raw material(data) and turn it into a finished good (business intelligence). For our purposes, we will use Microsoft Power BI to help you visualize the information by using advanced analytics, KPIs, and workflow automation. When you are finished, you can see exactly what’s going on with your data.

Level 5: Data Science

Modern Data Warehouse is about more than seeing the information; it’s about using the data to make smarter decisions. That’s one of the key concepts you should walk away with here today. There are several different programs to help you leverage the data to your benefit, including:

  • AI
  • Deep learning
  • Machine learning
  • Statistical modeling
  • Natural language processing (NLP)

Keep in mind that all the algorithms above need data to work successfully. The more data you provide, the smarter your decisions, and the smarter your results. It’s essential to see if you want to understand your reports that you leverage AI to get better answers, leading us back to Modern Data Warehouse. Again, it is more than gathering and storing data. It is about making smart decisions.

Final Thoughts

Modern data warehouse takes the data most corporations have and turns it into actionable intelligence based on visual stories. If your organization is looking for ways to get the most out of this data, contact us today for a free 1-hour consultation.

Tags: