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Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

The market for data warehouses is booming. While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Data Warehouse.

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What is Data Pipeline? A Detailed Explanation

Smart Data Collective

Pipeline, as it sounds, consists of several activities and tools that are used to move data from one system to another using the same method of data processing and storage. Data pipelines automatically fetch information from various disparate sources for further consolidation and transformation into high-performing data storage.

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What is Dark Data, Why Does it Matter, and Why Are Humans Still Needed?

Timo Elliott

Opportunities for key insights are often buried in a vast universe of dormant information known as “dark data.”. It’s easy to collect information, but it’s hard to turn it into insights. Vast swathes of information are generated every day – everything from corporate financial figures to teenage social media videos.

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What Are OLAP (Online Analytical Processing) Tools?

Smart Data Collective

The data is processed and modified after it has been extracted. Data is fed into an Analytical server (or OLAP cube), which calculates information ahead of time for later analysis. A data warehouse extracts data from a variety of sources and formats, including text files, excel sheets, multimedia files, and so on.

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When Data Warehousing Met the Events Industry

BizAcuity

The solution here is to consolidate all of this data, gathered from different points at different times along the course of the event and store it in one consolidated form in a Data Warehouse. One of the many things that data warehouses allow is the chronological sifting of data.

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The Best Data Management Tools For Small Businesses

Smart Data Collective

Solutions for the various data management processes need to be carefully considered. Extensive planning and taking discussions on the best possible strategies with the different teams and external consultation should be a priority. Data transformation. Data analytics and visualisation.

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What did we learn at the SAP UK “The Journey To The Top” Event?

Timo Elliott

Inevitably this means that the audiences had lots of questions and many of the sessions were about the transition roadmaps, giving them detailed information on how and when they might consider moving to the newer platforms. For example, the SAP data warehouse solutions include predefined schemas and content for different business areas.