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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. The post How Will The Cloud Impact Data Warehousing Technologies?

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Optimizing Cloud Compute and Data Storage for Data Analytics

Actian

When architecting your data warehouse solution, separating compute and data storage is extremely important for both operational sustainability and economic efficiency. Consider the example of black Friday in retail. Business activity spikes, and the demand for analytics about the business activities spike too.

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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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Data Profiling: Types, Techniques and Best Practices

Astera

It’s a method used to diagnose the data’s health by thoroughly examining its structure, content, and relationships. It ensures that the data is accurate, consistent, and unique before it’s used for ETL and data analytics. It can also highlight patterns, rules, and trends within the data.

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Take Your SQL Skills To The Next Level With These Popular SQL Books

Data Pine

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

IBM cost 117
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Structured Vs. Unstructured Data

The BAWorld

Non-technical users can also work easily with structured data. Structured Data Example. can be grouped in a data warehouse for marketing analysis. Each employee’s data can be efficiently accessed using a unique id. Let us explore some examples.

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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

Data Pine

This genie (who we’ll call Data Dan) embodies the idea of a perfect data analytics platform through his magic powers. Now, with Data Dan, you only get to ask him three questions. The questions to ask when analyzing data will be the framework, the lens, that allows you to focus on specific aspects of your business reality.