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Data engineers vs. data scientists

O'Reilly Media - Data

The two positions are not interchangeable—and misperceptions of their roles can hurt teams and compromise productivity. It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data.

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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. How data engineering works in 14 minutes.

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Data Product Strategies: How Cloudera Helps Realize and Accelerate Successful Data Product Strategies

Cloudera

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

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Improving Stream Data Quality with Protobuf Schema Validation

Confluent

The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices. The team began investigating the range of encoding formats that would suit Deliveroo’s requirements. Because it builds on top of Apache Kafka we decided to call it Franz. Deciding on an Encoding Format.

Data 81
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How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

Experts from such companies as Lucidworks, Advantech, KAPUA, MindsDB, Fellow Robots, KaizenTek, Aware Corporation, XR Web, and fashion brands Hockerty and Sumissura joined the discussion. Let’s travel overseas and check out how Chinese tech giants have been developing in the same field. JD.com’s chain of unmanned stores.

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Security, Usability & Cloud Data Services in Finance

OpenCredo

To optimise our use of data, we need services which store it reliably, provide interfaces for analysis and automate transformation. In developing and configuring these services we must walk a fine line between security and usability. Usability, because business value depends on frictionless access to data. Data Engineering.

Cloud 40
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Procurement Analytics: Challenges, Opportunities, and Implementation Approaches

Altexsoft

Consider applying this approach if you work in a less stable environment, e.g., automotive market, fashion, or food products. The International Association for Contract and Commercial Management (IACCM) research showed that on average, companies lose around 9 percent of annual revenue due to poor contract management. Consolidate data.