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Data Engineering Weekly #155

Data Engineering Weekly

The author summarized the pros and cons of various data team structures in an organization. link] Grab: Kafka on Kubernetes: Reloaded for fault tolerance. Grab Engineering writes about enhancing its Kafka on the Kubernetes platform for improved fault tolerance.

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5 Lessons Learned from Testing Databricks SQL Serverless + DBT

Towards Data Science

In this blog we take a technical deep dive into the cost and performance of their serverless SQL warehouse product by utilizing the industry standard TPC-DI benchmark. Pros and cons of Serverless The Databricks serverless option is a fully managed compute platform.

SQL 52
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Migrating From Elasticsearch 7.17 to Elasticsearch 8.x: Pitfalls and Learnings

Zalando Engineering

There is also a great article about ANN on Elastic blog by Julie Tibshirani - read it, you won't regret it. Both had their pros and cons. We also monitored CPU and memory consumption via Kubernetes. However, you can improve latency by using a query to limit the number of matching documents passed to the function.

Scala 86
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The Good and the Bad of Apache Airflow Pipeline Orchestration

AltexSoft

This article covers Airflow’s pros and gives a clue why, despite all its virtues, it’s not a silver bullet. If this is not a big deal, read on to learn more about Airflow concepts and architecture which, in turn, predefine its pros and cons. Two main remote options are Celery Executor and Kubernetes Executor.

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A Step-by-Step Guide on Docker for Beginners

Knowledge Hut

To check the Docker version installed use the following command; $ Docker --version The Docker version installed at the time of this blog is Docker version 20.10.12, build 20.10.12-0ubuntu2~20.04.1 The introduction of Kubernetes eliminated all the shortcomings and solved all the problems concerned with Docker. 0ubuntu2~20.04.1

Systems 97
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PgBouncer on Kubernetes and how to achieve minimal latency

Zalando Engineering

Master Wq says there is "No greatest tool", to run something successfully in production one needs to understand pros and cons. Setup In fact, we did significant amount of benchmarks with PgBouncer for different workloads on our Kubernetes clusters and learned few interesting details. But first let's make an introduction.

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DataOps: What Is It, Core Principles, and Tools For Implementation

phData: Data Engineering

These are easier to solve as the pros and cons are much simpler to calculate. Challenges with Source Control Management While the pros heavily outweigh the cons, it is important to talk about the challenges associated with version control. When it comes to software engineering, changes can be harder to quantify.

IT 52