Remove announcing-materialized-views
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Introducing Materialized Views and Streaming Tables for Databricks SQL

databricks

We are thrilled to announce that materialized views and streaming tables are now publicly available in Databricks SQL on AWS and Azure. Streaming.

SQL 83
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Building The Materialize Engine For Interactive Streaming Analytics In SQL

Data Engineering Podcast

To address that need more completely the team at Materialize has created an engine that allows for building queryable views of your data as it is continually updated from the stream of changes being generated by your applications. And for your machine learning workloads, they just announced dedicated CPU instances.

SQL 100
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Optimizing Materialized Views with dbt

dbt Developer Hub

Together with my team, I created lambda views to meet the need. Jetblue has outgrown lambda views due to performance constraints (a view can only be so performant) and we are at another milestone in dbt’s journey to support streaming. Today we are announcing that we now support Materialized Views in dbt.

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Building Real Time Applications On Streaming Data With Eventador

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. Closing Announcements Thank you for listening!

Building 100
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New Snowflake Features Released in August 2023

Snowflake

Read on to learn more about the full set of features that were just announced. Data Governance Simplify masking policies on External Tables – public preview Previously administrators were required to configure a view on External Tables in order to mask sensitive columns. Snowpark Python Updates Snowpark support for Python 3.9

Python 72
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Cloudera Streaming Analytics 1.4: the unification of SQL batch and streaming

Cloudera

We are excited to announce CSA 1.4.0 – with a unified streaming and batch interface. Distributed real time data warehouse – Join streaming data as facts with batch data as dimensions via materialized views. You also dive into some of the details of the release on our blog. With the new capabilities CSA 1.4

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New Snowflake Features Released in February 2023

Snowflake

Read on to learn about everything new announced in February. This new feature makes audits on policy-protected objects and columns easier as it provides a more unified view of how protected data is referenced without needing to do complex joins on multiple Account Usage views. Learn more here. © 2023 Snowflake Inc.

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