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Top Use Cases for Data-Driven Strategic Services

Precisely

Delivering With Focus: Becoming a Data-Driven Organization The world’s largest manufacturer of private label, over-the-counter (OTC) pharmaceuticals and healthcare products wanted to standardize and normalize its data to create a common catalog of data assets across all of its transactional and analytical systems.

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The Top 25 Data Engineering Influencers and Content Creators on LinkedIn

Databand.ai

Bob also hosts The Engineering Side of Data podcast , which is dedicated to discussions around data engineering and features a variety of guests from the data engineering space. His specialties include Microsoft SQL Server, Azure Databricks, Azure Data Factory, SQL Server Integration Services (SSIS), and Azure Data Lake.

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Turning petabytes of pharmaceutical data into actionable insights

Cloudera

That’s the equivalent of 1 petabyte ( ComputerWeekly ) – the amount of unstructured data available within our large pharmaceutical client’s business. Then imagine the insights that are locked in that massive amount of data. Ensure content can be reused within the data hub to support pharmaceutical use cases.

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Data Virtualization: Process, Components, Benefits, and Available Tools

AltexSoft

If the transformation step comes after loading (for example, when data is consolidated in a data lake or a data lakehouse ), the process is known as ELT. You can learn more about how such data pipelines are built in our video about data engineering. Popular data virtualization tools.

Process 69
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The Good and the Bad of Databricks Lakehouse Platform

AltexSoft

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. Delta Lake integrations. Databricks lakehouse platform architecture.

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