• Data Platforms
    • Databricks
    • Microsoft Azure
    • Microsoft Fabric
    • Power BI
    • SQL Server
  • Data Engineering
    • Azure Databricks
    • Azure Data Factory
    • Azure Data Lake
    • Azure SQL DB
    • Azure Synapse Analytics
    • SQL Server Analysis Services
    • SQL Server Integration Services
    • SQL Server Reporting Services
  • Company
    • Microsoft Fabric Workshop
    • About
    • Blog
    • Careers
    • Industries
      • Finance
      • Healthcare
      • Manufacturing
      • Pharmaceutical
      • Retail
      • Public Sector
    • Our Team
    • Resources
      • Azure Resources
      • Case Studies
      • Power BI Demo
      • Power BI Resources
      • SSIS eBook
  • Contact Us
Getting started with SQL Data Warehouse (SQL DW)

Getting started with SQL Data Warehouse (SQL DW)

May 8, 2017 | Data Warehousing, Featured, SQL Server, Technical Information

By: Ken Adams  Senior BI Consultant at Key2 Consulting   As was mentioned in a previous blog post comparing the pros and cons of Microsoft Azure SQL Database versus SQL Data Warehouse, Microsoft announced at SQL PASS 2016 that they are offering a free, 1-month...
Building a Data Warehouse: Populating and Using a Junk Dimension

Building a Data Warehouse: Populating and Using a Junk Dimension

Feb 27, 2017 | Data Warehousing, Featured, SQL Server, Technical Information

By: Ken Adams Sr. Business Intelligence Consultant at Key2 Consulting     A junk dimension is seen occasionally inside of data warehouses. This type of dimension can be thought of as a flag table, or a collection of attributes that have low-cardinality. This...
Comparing Azure SQL Database to SQL Data Warehouse

Comparing Azure SQL Database to SQL Data Warehouse

Jan 10, 2017 | Azure, Cloud Technology, Data Warehousing, SQL Server

By: Ken Adams   Have you wondered what the difference is between Azure SQL Database and Azure SQL Data Warehouse? In this post we’re going to highlight the key differences between the two Microsoft product offerings and point out what you need to know....
Getting started with SQL Data Warehouse (SQL DW)

3 Advantages a Great Data Warehouse/BI Solution Should Bring to Your Business

Dec 21, 2016 | Business Intelligence, Data Warehousing, Featured

Are we getting the most out of our data warehouse? If you’ve ever asked yourself that question as an executive, IT manager, or business owner, you’re not alone. We know there are many Data Warehouse/Business Intelligence (DW/BI) solutions that have fallen...
Next Entries »

Recent Posts

  • Key2 Consulting Partners With Databricks To Help Companies Maximize Data and AI
  • How to Build Metadata-Driven Pipelines in Microsoft Fabric
  • Getting Started With Copilot in Microsoft Fabric

Categories

  • .NET
  • Amazon
  • Amazon MWS
  • Amazon QuickSight
  • App design
  • Application Development
  • Artificial Intelligence
  • Azure
  • Azure Cosmos DB
  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse
  • Big Data
  • BIML
  • Business Intelligence
  • Careers
  • CCPA
  • Cloud Technology
  • Conferences
  • Consulting
  • COVID-19
  • Custom Development
  • Data Encryption
  • Data Governance
  • Data Management
  • Data Regulations
  • Data Security
  • Data Visualization
  • Data Warehousing
  • Databricks
  • Entrepreneurship
  • Fantasy Football
  • Featured
  • Featured
  • GDPR
  • GitHub
  • healthcare
  • Key2 Stories
  • Machine Learning
  • Microsoft
  • Microsoft Copilot
  • Microsoft Excel
  • Microsoft Fabric
  • Microsoft Power Automate
  • Microsoft Power BI
  • Microsoft PowerApps
  • Open Source
  • PowerShell
  • RevoScaleR
  • Salesforce
  • Self-Service BI
  • SharePoint
  • Snowflake
  • Software Development
  • SQL Server
  • SSIS
  • Tableau
  • Tales from Consulting
  • Tech Tips
  • Technical Information
  • Uncategorized
  • Web 3.0
  • Web Applications
  • Web design
  • Web Development
  • What's Happening at Key2
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site, you consent to our use of cookies and the terms of our Privacy Policy.Got It!