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Python for Data Engineering

Ascend.io

Use Case: Transforming monthly sales data to weekly averages import dask.dataframe as dd data = dd.read_csv('large_dataset.csv') mean_values = data.groupby('category').mean().compute() compute() Data Storage Python extends its mastery to data storage, boasting smooth integrations with both SQL and NoSQL databases.

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14 Best Database Certifications in 2023 to Boost Your Career

Knowledge Hut

This is an entry-level database certification, and it is a stepping stone for other role-based data-focused certifications, like Azure Data Engineer Associate, Azure Database Administrator Associate, Azure Developer Associate, or Power BI Data Analyst Associate. Skills acquired : Core data concepts. Data storage options.

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The Good and the Bad of the Elasticsearch Search and Analytics Engine

AltexSoft

Speed and performance Speed and performance are foundational to Elasticsearch’s appeal, setting it apart from traditional data storage and retrieval systems. Elastic Certified Analyst : Aimed at professionals using Kibana for data visualization.

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

Furthermore, Glue supports databases hosted on Amazon Elastic Compute Cloud (EC2) instances on an Amazon Virtual Private Cloud, including MySQL, Oracle, Microsoft SQL Server, and PostgreSQL. It is also compatible with other popular data storage that may be deployed on Amazon EC2 instances. Why Use AWS Glue?

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DynamoDB Filtering and Aggregation Queries Using SQL on Rockset

Rockset

Further, data is king, and users want to be able to slice and dice aggregated data as needed to find insights. Users don't want to wait for data engineers to provision new indexes or build new ETL chains. They want unfettered access to the freshest data available.

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100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

Below are some big data interview questions for data engineers based on the fundamental concepts of big data, such as data modeling, data analysis , data migration, data processing architecture, data storage, big data analytics, etc. What is meant by Aggregate Functions in SQL?