Remove Data Engineering Remove Serverless Remove UI/UX
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Imperva optimizes SQL generation from natural language using Amazon Bedrock

AWS Machine Learning - AI

The problem Making data accessible to users through applications has always been a challenge. Data is normally stored in databases, and can be queried using the most common query language, SQL. Applications use different UI components to allow users to filter and query the data.

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170+ live online training courses opened for March and April

O'Reilly Media - Ideas

Hands-On Chatbot and Conversational UI Development , June 20-21. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Foundational Data Science with R , March 26-27. Blockchain. Programming.

Course 15
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New live online training courses

O'Reilly Media - Ideas

Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24. Introduction to UI & UX design , June 24. Practical Linux Command Line for Data Engineers and Analysts , July 22. Programming.

Course 93
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24. Introduction to UI & UX design , June 24. Practical Linux Command Line for Data Engineers and Analysts , July 22. Programming.

Course 67
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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

Depending on work you can choose a smaller team of similar expertise (for example a team with mostly frontend engineers) or a smaller team of diverse expertise (team with balanced frontend, backend, data engineers). Thirdly, let engineers themselves choose the delivery teams and organise them around the initiative.