Remove Azure Remove Business Analytics Remove Data Engineering Remove Scalability
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How to use Multiple Databricks Workspaces with one dbt Cloud Project

Xebia

Setup the Azure Service Principal : We want to avoid Personal Tokens that are associated with a specific user as much as possible, so we will use a SP to authenticate dbt with Databricks. For this project, we will use Azure as our Cloud provider. We will call them data-platform-udev and data-platform-uprod.

Cloud 130
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Data Summit 2023 Event Recap

Datavail

Attendees were able to explore solutions and strategies to help them unlock the power of their data and turn it into actionable insights. The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics.

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Altexsoft - Untitled Article

Altexsoft

The variety of data explodes and on-premises options fail to handle it. Apart from the lack of scalability and flexibility offered by modern databases, the traditional ones are costly to implement and maintain. At the moment, cloud-based data warehouse architectures provide the most effective employment of data warehousing resources.

Backup 115
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An A-Z Data Adventure on Cloudera’s Data Platform

Cloudera

In our data adventure we assume the following: . The company has previously created a business unit tenant in CDP Public Cloud. There is an environment available on either Azure or AWS, using the company AWS account – note: in this blog, all examples are in AWS. Company data exists in the data lake.

Data 97
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New live online training courses

O'Reilly Media - Ideas

Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Debugging Data Science , June 26. Programming with Data: Advanced Python and Pandas , July 9. Understanding Data Science Algorithms in R: Regression , July 12.

Course 67
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Technology Trends for 2023

O'Reilly Media - Ideas

Decomposing a complex monolith into a complex set of microservices is a challenging task and certainly one that can’t be underestimated: developers are trading one kind of complexity for another in the hope of achieving increased flexibility and scalability long-term. Data engineering was the dominant topic by far, growing 35% year over year.

Trends 136
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Debugging Data Science , June 26. Programming with Data: Advanced Python and Pandas , July 9. Understanding Data Science Algorithms in R: Regression , July 12.

Course 50