We are pleased to announce the release of  the dbt-impala  adapter v1.1.0.  This release is compatible and tested with dbt-core v1.1.0. https://pypi.org/project/dbt-impala/1.1.0/ https://github.com/cloudera/dbt-impala/releases/tag/v1.1.0   Full dbt-core v1.1.0 release notes can be found here, including a number of bug-fixes and improvements and support for Python 3.10 under the hood.   Adapter Enhancements and New Features Adopted new dbt methods provided in dbt 1.1.0 Fix for an issue with get_catalog that caused empty catalog to be generated  ( #36) Ensure lower case for pattern passed to "show tables in" query (#37) Add timeout for snowplow endpoint to handle air gapped environments  ( #38) Bump version number to 1.1.0 to align with dbt-core versioning Python 3.10 compatibility as a result of migrating to dbt-core=1.1.0 Getting started with dbt-impala Read the Getting started with dbt-impala & Cloudera Data Warehouse guide Watch the video Using the dbt-impala example repo to bootstrap your dbt project Install the latest adapter from PyPi Coming Soon Watch this space for our adapter for Spark in Datahub using Livy!   As always, we welcome your feedback. Please send your comments and suggestions to us through our community group hub .  You can also file issues through Github https://github.com/cloudera/dbt-impala . ... View more

This forum is your place to ask questions about Cloudera Innovation Accelerator projects and discuss potential ideas we should be pursuing. ... View more

Welcome to the Cloudera community for the Cloudera Innovation Accelerator!   We are an incubator of new product ideas with a mission to make the lives of data practitioners better. On this Community Hub we will provide access to beta releases, share how-to guides and best practices, and seek your feedback on the projects that we are working on.   Click on the Join Group Hub button to be a part of our community and get updates on our projects! What is the Innovation Accelerator? Cloudera has been a visionary in the data space for several years and has delivered a data platform used by 10s of thousands of engineers, data analysts, and data scientists in 1000s of the largest banks, pharma, health systems, telecom, and automotive companies all over the world.    The Innovation Accelerator program was created  to identify trends and work on product and partnership ideas that will dramatically improve the lives of data practitioners in enterprises large and small. As part of the program, we follow rigorous customer development with our customers to discover and validate ideas to then invest on the most promising ones to be made available to our customers.  How does the Innovation Accelerator work? We focus on elements complementary to our existing core Cloudera Data Platform roadmap in two directions: Ecosystem integrations Developing standalone new offerings Core to our operating principles is putting customer and community conversations at the heart of everything we do - from choosing which projects to take on, to evaluating their value and potential, right through to acting as design partners or trialling early releases. How to get involved? We are seeking: Early adopters and design partners to test out and provide feedback for our projects. In turn these customers get hands on guidance setting up the projects and direct feedback into engineering to help us improve them and prioritise our roadmaps. Ecosystem partners interested in collaborating to develop an integration. Customers interested in talking to us about our project pipeline and providing feedback on what would have value for them to help us prioritise our investments If any of these apply to you, reach out to our inbox at innovation-feedback@cloudera.com or reach out directly to one of the core team! ... View more