Presenting New Partner Integrations in Partner Connect
databricks
NOVEMBER 30, 2023
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.
databricks
NOVEMBER 30, 2023
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.
Cloudera
OCTOBER 7, 2021
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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databricks
FEBRUARY 15, 2023
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.
Knowledge Hut
MARCH 5, 2024
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.
Scott Logic
NOVEMBER 15, 2023
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?
Cloudera
OCTOBER 19, 2021
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.
phData: Data Engineering
JULY 12, 2022
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.
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