Remove declarative-data-sync
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Data News — Week 24.15

Christophe Blefari

The fest we deserve ( credits ) I hope this Data News finds you well. This is an episode in French and we talked mainly about the eventual end of the modern data stack. Build analytics at Hive.co — The journey Oleg and his team went through to implement a modern data stack.

BI 130
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Optimizing Cloudera Data Engineering Autoscaling Performance

Cloudera

The shift to cloud has been accelerating, and with it, a push to modernize data pipelines that fuel key applications. At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges. fixed sized clusters).

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New Snowflake Features Released in May–July 2023

Snowflake

Read our Summit recap blog for highlights across industries or watch Summit sessions now on-demand. Applications Snowflake Native App Framework now available in AWS – public preview Snowflake Native Apps are an entirely new way to put data to work. If you missed out, not to worry! Learn more here.

Scala 52
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Building a Rust workspace with Bazel

Tweag

If you are not familiar with Bazel and Bazel workspaces, we have an article on the Tweag blog covering this topic. In Bazel we also need to explicitly declare all the external dependencies and it would be extremely painful to manually write BUILD files for every Rust crate our project depends on. First, we’ll create a Bazel workspace.

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70+ Azure Interview Questions and Answers to Prepare in 2023

ProjectPro

This blog covers the top 50 most frequently asked Azure interview questions and answers. Well, this Azure interview questions and answers blog will help you land your dream cloud computing job role! The service provider's data center hosts the underlying infrastructure, software, and app data. Example- Microsoft Azure.

BI 52
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Using Metrics Layer to Standardize and Scale Experimentation at DoorDash

DoorDash Engineering

Metrics are vital for measuring success in any data-driven company, but ensuring that these metrics are consistently and accurately measured across the organization can be challenging. Dependency on SQL made it challenging for non-technical users to analyze experiments without assistance from data scientists.

SQL 82