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Data Engineering Weekly #182

Data Engineering Weekly

Adopting LLM in SQL-centric workflow is particularly interesting since companies increasingly try text-2-SQL to boost data usage. JSON workflow definition gives flexibility to build DSL on higher-level languages like Python & Java. Log-as-the-Database (P2): Sending only write-ahead logs to the storage side upon transaction commit.

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10 Lessons from 10 Years of Innovation and Engineering at Picnic

Picnic Engineering

A decade ago, Picnic set out to reinvent grocery shopping with a tech-first, customer-centric approach. For instance, we built self-service tools for all our engineers that allow them to handle tasks like environment setup, database management, or feature deployment effectively.

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Bringing Automation To Data Labeling For Machine Learning With Watchful

Data Engineering Podcast

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest.

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Top 10 Automation Testing Tools used in Software Industry

Knowledge Hut

Can use Selenium API with programming languages like Java, C#, Ruby, Python, Perl PHP, Javascript, R, etc. Ranorex Webtestit: A lightweight IDE optimized for building UI web tests with Selenium or Protractor It generates native Selenium and Protractor code in Java and Typescript respectively. Supports cross-browser testing.

Java 98
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Java Tutorial For Beginners

U-Next

Java-enabled general-purpose computers, mobile devices, and other handheld gadgets are a part of everyone’s daily life now. As a result, we can see that Java is one of the most widely used programming languages today. Therefore, our Java for beginners tutorial is here to educate the audience en masse. . Advantages of Java .

Java 40
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Building a Scalable Search Architecture

Confluent

As the databases professor at my university used to say, it depends. Using SQL to run your search might be enough for your use case, but as your project requirements grow and more advanced features are needed—for example, enabling synonyms, multilingual search, or even machine learning—your relational database might not be enough.

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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. Data engineers who previously worked only with relational database management systems and SQL queries need training to take advantage of Hadoop. Hadoop vs Spark differences summarized. What is Hadoop. Data storage options.