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How to Use ChatGPT ETL Prompts For Your ETL Game

Monte Carlo

Tune the load process I'm using PostgreSQL to store my company's transactional data. Implement Upserts I'm frequently updating and inserting new records into my PostgreSQL users table. Provide guidance and best practices on specific ETL tools Say you’re new to Apache Kafka.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Kafka Kafka is one of the most desired open-source messaging and streaming systems that allows you to publish, distribute, and consume data streams. Kafka, which is written in Scala and Java, helps you scale your performance in today’s data-driven and disruptive enterprises.

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10 Best Azure Data Engineer Tools in 2023

Knowledge Hut

Open Source Support: Many Azure services support popular open-source frameworks like Apache Spark, Kafka, and Hadoop, providing flexibility for data engineering tasks. Top 10 Azure Data Engineer Tools I have compiled a list of the most useful Azure Data Engineer Tools here, please find them below.

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Updates, Inserts, Deletes: Comparing Elasticsearch and Rockset for Real-Time Data Ingest

Rockset

Introduction Managing streaming data from a source system, like PostgreSQL, MongoDB or DynamoDB, into a downstream system for real-time analytics is a challenge for many teams. Logstash offers a JDBC input plugin that polls a relational database, like PostgreSQL or MySQL, for inserts and updates periodically.

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Case Study: Real-Time Insights Help Propel 10X Growth at E-Learning Provider Seesaw

Rockset

Rockset works well with a wide variety of data sources, including streams from databases and data lakes including MongoDB , PostgreSQL , Apache Kafka , Amazon S3 , GCS (Google Cloud Service) , MySQL , and of course DynamoDB. Results, even for complex queries, would be returned in milliseconds.

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100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers How is a data warehouse different from an operational database? Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing.