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Presenting New Partner Integrations in Partner Connect

databricks

We are excited to introduce five new integrations in Databricks Partner Connect—a one-stop portal enabling you to use partner solutions with your Databricks D.

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Introducing New Enhancements to the Cloudera Connect Partner Program

Cloudera

October sees the launch of Partner Appreciation Month and during the next few weeks we will be sharing success stories, updates and interviews with our valued partners across the world. . To help customers to move to the hybrid data cloud, we are empowering our partners with new and improved Cloudera Connect experiences.

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Announcing New Partner Integrations in Databricks Partner Connect

databricks

New year, new integrations to announce! We're excited to introduce five new additions to Databricks Partner Connect– a centralized portal to help you f.

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AWS Advantages and Disadvantages [Pros and Cons]

Knowledge Hut

Along with the well-known advantages, I will also cover the lesser-known disadvantages of AWS in this blog. Innovation: The continual introduction of new services ensures that AWS stays at the forefront of technological advancements, fostering innovation within the cloud computing landscape. Now, let's find out what it is.

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Bridging the Gap: The Dance Between Humans and Technology in the AI Epoch by Craig Stephen

Scott Logic

I had the pleasure of attending Cvent Connect, a prominent conference for events and marketing professionals held in London last week. On the other hand, the integration of AI calls for a new set of skills, as well as creative and legislative concerns. Stop to think… Can AI write emotive blogs?

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Introducing Self-Service, No-Code Airflow Authoring UI in Cloudera Data Engineering

Cloudera

This combined with Cloudera Data Engineering’s (CDE) first-class job management APIs and centralized monitoring is delivering new value for modernizing enterprises. By far the biggest barrier for new users is creating custom Airflow DAGs. In the process several key themes emerged: Low/No-code. Pipeline Engine.

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Is dbt a Good Tool for Implementing Data Models?

phData: Data Engineering

This has led to the coining of a new term: analytics engineering. To implement dbt, data analysts may need to skill-up in git and partner with IT for initial setup, but they will find it gives a familiar SQL interface for building out data models. However, your organization or team’s skill set may fall somewhere between those two.