Remove the-superset-operational-model-wants-you
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Data News — Week 24.12

Christophe Blefari

The process works well, but as you can see, because I use fresh news, it's just-in-time. ❤️ I rarely say it, if Data News helps you save time you should consider taking a paid subscription (60€/year) to help me covers the blog fees and my writing Fridays. Save posts without reading. on April 10.

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The Rise of the Data Engineer

Maxime Beauchemin

In relation to previously existing roles , the data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. This includes tasks like setting up and operating platforms like Hadoop/Hive/HBase, Spark, and the like. Data Engineering?

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Running Fast SQL on DynamoDB Tables

Rockset

Have you ever wanted to run SQL queries on Amazon DynamoDB tables without impacting your production workloads? In this blog, I will discuss how Rockset integrates with DynamoDB and continuously updates a collection automatically as new objects are added to a DynamoDB table. Each field in the dataset is described here.

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Q&A Picnic Data Engineering Series

Picnic Engineering

Since the publication of the first blog post in this series, we have received numerous questions via social media, direct messages, public posts, and meet-up discussions. Though many of the ongoing questions were already covered in the previous blog posts, a few warranted their own article. Data Mesh, or Hub-and-Spoke? Any advice?

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Apache Airflow and the Future of Data Engineering: A Q&A

Maxime Beauchemin

You might be wondering, “What is data engineering and why does it matter?” In The Rise of the Data Engineer , Maxime defined data engineering as: The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. We should expect 1.8.0

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Achieving Insights and Savings with Cost Data

Airbnb Tech

Minerva , Apache Druid , DataPortal , Apache Superset , SLA monitoring ) to make data-informed decisions. A foundation of robust and actionable data is essential for a successful efficiency program. More importantly, cost data has become a lever for long-term control. Most teams at Airbnb rely on the data warehouse (i.e.,

AWS 52
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Elasticsearch or Rockset for Real-Time Analytics: How Much Query Flexibility Do You Have?

Rockset

For example, you might have to develop a real-time data pipeline using a tool like Kafka just to get the data in a format that allows you to aggregate or join data in a performant manner. Two of these real-time analytics solutions are Elasticsearch and Rockset. Instead, this data is often semi-structured in JSON or arrays.

SQL 40