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Build an Agile Data Warehouse with an Iterative Approach

Astera

If you have had a discussion with a data engineer or architect on building an agile data warehouse design or maintaining a data warehouse architecture, you’d probably hear them say that it is a continuous process and doesn’t really have a definite end. What do you need to build an agile data warehouse?

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Business Intelligence Components and How They Relate to Power BI

BI Insight

When I decided to write this blog post, I thought it would be a good idea to learn a bit about the history of Business Intelligence. The term Business Intelligence as we know it today was coined by an IBM computer science researcher, … Continue reading Business Intelligence Components and How They Relate to Power BI.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

4) Business Intelligence Job Roles. Does data excite, inspire, or even amaze you? Do you find computer science and its applications within the business world more than interesting? If you answered yes to any of these questions, you may want to consider a career in business intelligence (BI).In

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The Complete Guide to Reverse ETL

Astera

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

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What Defines the Modern Data Stack and Why You Should Care?

Astera

This is where data extraction tools from companies like Matillion, Astera , and Fivetran are used to organize and prepare data for a cloud data warehouse. ELT or ETL tools , such as DBT, work within a cloud data warehouse to convert, clean, and structure data, into a format usable by data engineers and analysts.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

Data Pine

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. The program manager should lead the vision for quality data and ROI. 2 – Data profiling.

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Building Bridges: Data and BI Teams Partnering on an Analytics Solution

Sisense

Access to information can be a game-changer for businesses looking to unlock strategic advantages through analytical insights. Ensuring that your organization has the right business intelligence and analytics tools to drive this innovation is key. It’s no secret that data teams are becoming indispensable to organizations.