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In this article, we will work on two different methods to encrypt these data so that they can't get into the hands of unauthorized users.
AWS Glue is a serverless data integration service developed to extract, transform, and load data to simplify the ETL process.
It is now possible to perform ETL without the need for dedicated servers. This is where AWS Glue and PySpark come into play.
Whenever data-driven decisions are the need of the hour, a BI tool like Looker Studio is the appropriate solution.
This blog has explored 10 surprising benefits of using AWS Redshift to easily store, process, and analyze data.
Snowflake has become a popular choice as it supports multi-cloud infrastructure environments such as Amazon, Microsoft, and GCP.
Data lake is designed to store all data, regardless of structure or format such as social media, log files, and sensor data.
Data warehouse is designed to support decision-making through data collection, consolidation, analysis, and research.
Delta Lake format is an open storage framework that helps you build a trustworthy Lakehouse data platform.
An article here describes the rationale behind using Koalas and then talks about the different library usage with different spark versions.
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