Data Warehouse

Modern Data Warehouse: What It Is, Why You Need It, How to Use It

Analytics has evolved tremendously since the 90’s when we began constructing data warehouses. The technique is new, the tools are very different, and the demands are even different! Companies, for example, achieve a strategic edge by machine learning, also supplied by IoT and smartphones. The huge volume of data and high-speed causes problems with scalability.

In this recent webinar presented by Cloud Data Architect, Rowland Gosling you will see an outline of new methods and tools used to construct a data warehouse. The presentation also discusses the value of a data warehouse and ways to enhance the data capabilities within your business.

 

Additional topics covered:

  • How the modern data warehouse updates exist within analytic strategies
  • Mapping to today’s business goals for analytics
  • Typical end-to-end workflows that are used to solve problems
  • Using all the data available to create a more accurate picture of the business
  • How do we scale?
  • How are we going to stay competitive?
  • Can we consolidate to one approach to analytics?

 

If you are a business leader, technical staff, or a company interested in a consolidated, modern approach to analytics, then this webinar is right for you. You can watch the complete webinar below.

 

Be sure to join us each week for our free webinars that happen every Tuesday at 11 AM ET. Our webinars cover a wide range of Azure topics and are presented by industry experts. Check out what webinars are coming up on our events calendar.

Need further help? Our expert team and solution offerings can help your business with any Azure product or service, including Managed Services offerings. Contact us at 888-8AZURE or  [email protected].

3CloudModern Data Warehouse: What It Is, Why You Need It, How to Use It
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Modern Data Warehouse: What It Is, Why You Need It, How to Use It

Analytics has evolved tremendously since the 90’s when we began constructing data warehouses. The technique is new, the tools are very different, and the demands are even different! Companies, for example, achieve a strategic edge by machine learning, also supplied by IoT and smartphones. The huge volume of data and high-speed causes problems with scalability.

In this recent webinar presented by Cloud Data Architect, Rowland Gosling you will see an outline of new methods and tools used to construct a data warehouse. The presentation also discusses the value of a data warehouse and ways to enhance the data capabilities within your business.

 

Additional topics covered:

  • How the modern data warehouse updates exist within analytic strategies
  • Mapping to today’s business goals for analytics
  • Typical end-to-end workflows that are used to solve problems
  • Using all the data available to create a more accurate picture of the business
  • How do we scale?
  • How are we going to stay competitive?
  • Can we consolidate to one approach to analytics?

 

If you are a business leader, technical staff, or a company interested in a consolidated, modern approach to analytics, then this webinar is right for you. You can watch the complete webinar below.

 

Be sure to join us each week for our free webinars that happen every Tuesday at 11 AM ET. Our webinars cover a wide range of Azure topics and are presented by industry experts. Check out what webinars are coming up on our events calendar.

Need further help? Our expert team and solution offerings can help your business with any Azure product or service, including Managed Services offerings. Contact us at 888-8AZURE or  [email protected].

3CloudModern Data Warehouse: What It Is, Why You Need It, How to Use It
Read More

Best Practice for Your Power BI Data Sources

We all know there are lots of data sources; flat files like Excel files, CSVs that you import from another data source, connecting directly to a SQL Server or to SharePoint, or using a data warehouse architecture, as well as many others. The question is, are you using too many data sources with Power BI?

Nick LeeBest Practice for Your Power BI Data Sources
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Do I Need a Star Schema?

As we’re building a data warehouse for clients, sometimes we’re asked about the need to build a star schema. With all the great analytical tools for querying and doing machine learning on top of data store and files that all work well, people think why do I need to build a star schema, or do I even need one at all?

Bob RubockiDo I Need a Star Schema?
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5 Components of a Data Strategy

Businesses run on data – and the best organizations have a strong data strategy in place. We have consistent conversations with our customers about what they’re doing with their data and how they think about their data strategy. For the customers that get it right, we see 5 areas that they prioritize in terms of their strategy.

Adam Jorgensen5 Components of a Data Strategy
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