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Easier Stream Processing On Kafka With ksqlDB

Data Engineering Podcast

The ksqlDB project was created to address this state of affairs by building a unified layer on top of the Kafka ecosystem for stream processing. Developers can work with the SQL constructs that they are familiar with while automatically getting the durability and reliability that Kafka offers. How is ksqlDB architected?

Kafka 100
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Data Engineering Weekly #157

Data Engineering Weekly

The solution centered around Notebook opens a Flink Session for the Kafka stream and continues the exploration. It opens some old memory; try to solve this problem first with Presto-Kafka connector and then using OLAP engines like Druid & Apache Pinot. It's an excellent read if you're a snowflake user.

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How to Use ChatGPT ETL Prompts For Your ETL Game

Monte Carlo

Can you help me write a Python script using pandas to achieve this data type conversion? Date-time parsing I'm working with a list of dates in Java stored as strings in the format 'dd-MM-yyyy'. Can you assist me in writing a Java method to parse these date strings? I've heard about the UPSERT functionality.

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Optimize Your Machine Learning Development And Serving With The Open Source Vector Database Milvus

Data Engineering Podcast

RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Python is ubiquitous, which you can use in the backends, streamline data processing, learn how to build effective data architectures, and maintain large data systems. Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

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Python for Data Engineering

Ascend.io

Read More: Data Automation Engineer: Skills, Workflow, and Business Impact Python for Data Engineering Versus SQL, Java, and Scala When diving into the domain of data engineering, understanding the strengths and weaknesses of your chosen programming language is essential. csv') data_excel = pd.read_excel('data2.xlsx')

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The Top 25 Data Engineering Influencers and Content Creators on LinkedIn

Databand.ai

He currently runs a YouTube channel, E-Learning Bridge , focused on video tutorials for aspiring data professionals and regularly shares advice on data engineering, developer life, careers, motivations, and interviewing on LinkedIn.