Mar 26, 2024
AnalyticsCreator: Enhance Data Warehouse Metadata Framework
With an ever-evolving modern data stack there are plenty of options to approach data architectures and platforms. Designing and implementing a...
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Mar 26, 2024
AnalyticsCreator: Enhance Data Warehouse Metadata Framework
With an ever-evolving modern data stack there are plenty of options to approach data architectures and platforms. Designing and implementing a metadata-driven framework for Analytics to dynamically manage a Data Warehouse (or Data Lakehouse...) is essential.
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Posts by Richard Lehnerdt:
Mar 22, 2024
AnalyticsCreator: Automate Data Warehousing for Efficiency
Traditional data management struggles to keep pace with the ever-growing volume, complexity, and variety of data. Building and maintaining data...
Mar 21, 2024
Harnessing Citizen Data Scientists for Analytics Innovation
The ability to harness the power of analytics is no longer restricted to data scientists and IT professionals. With the emergence of citizen data...
Feb 16, 2024
EU AI Act Compliance: AnalyticsCreator Enhances Transparency
Discover how AnalyticsCreator can assist companies in meeting the requirements of the new EU AI Act.
Jan 15, 2024
Reduce Prototyping Costs for Azure Data Warehouses
Prototyping a data warehouse solution in Azure can be a costly process, especially if you are using Azure Synapse Analytics. However, there are a...
Jan 10, 2024
Power BI dataset content type renamed to semantic model
Microsoft has recently renamed the Power BI dataset content type to semantic model. This change is aimed at avoiding confusion and better...
Dec 20, 2023
Snapshot Historization in Azure: Trend & Data Analysis
Snapshot historization is a powerful technique that allows you to store and access historical data at specific points in time. It is particularly...
Dec 15, 2023
Optimizing Azure with Holistic Data Models & Catalog
In an increasingly data-driven world, organizations are generating and storing exponentially more data than ever before. Managing, understanding, and...
Dec 9, 2023
Data Warehouse Automation: Boost Efficiency in Azure
Data warehouse automation (DWA) is a process that uses technology to perform data warehousing tasks with minimal human intervention. It involves...
Dec 1, 2023
How AnalyticsCreator Empowers Organizations to Maximize Their Power BI and Azure Investments
Microsoft stands as a leader in the Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. Its flagship BI platform, Power BI,...
Oct 30, 2023
AnalyticsCreator Achieves Top Rankings and Leading Positions in BARC Data Management Survey 24
We are thrilled to announce that AnalyticsCreator has achieved 18 top rankings and 7 leading positions out of 25 KPIs in the BARC Data Management...
Jul 27, 2023
AnalyticsCreator: Next Generation Data Management
Standard ETL tools, short for Extract, Transform, and Load tools, are essential components of a data warehouse. These tools automate the process of...
Jul 6, 2023
Data Warehouse: Key Questions for Business Requirements
Building an effective data warehouse requires a clear understanding of your organization's business requirements. To determine these requirements,...
Jul 6, 2023
The importance of Data Modeling for your DWH
Data modeling is a critical step in the process of designing and building a data warehouse. It involves creating a conceptual and logical...
Jul 6, 2023
Understanding Business Requirements for Data Modeling
Data modeling is a crucial step in building a data warehouse, and selecting the right data modeling technique is vital to ensure the accuracy,...
Jul 6, 2023
Data Modeling Techniques: Key Considerations for DWH
Data modeling is a critical step in building an effective data warehouse. Choosing the right data modeling technique ensures that your data warehouse...
Jul 6, 2023
Data Modeling Techniques for Modern Data Warehouses
Data modeling is a critical step in the process of designing and building a data warehouse. It involves creating a conceptual and logical...
Jul 6, 2023
Data Modeling Technique: Best Practices for Your Data Warehouse
Selecting the right data modeling technique is essential to the success of your data warehouse. With so many different approaches available, it can...
