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Fivetran Supports the Automation of the Modern Data Lake on Amazon S3

phData: Data Engineering

Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format. Amazon S3 is an object storage service from Amazon Web Services (AWS) that offers industry-leading scalability, data availability, security, and performance.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. In addition to this, they make sure that the data is always readily accessible to consumers.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Hence, learning and developing the required data engineer skills set will ensure a better future and can even land you better salaries in good companies anywhere in the world. After all, data engineer skills are required to collect data, transform it appropriately, and make it accessible to data scientists.

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Data Governance: Framework, Tools, Principles, Benefits

Knowledge Hut

The mix of people, procedures, technologies, and systems ensures that the data within a company is reliable, safe, and simple for employees to access. It is a tool used by businesses to protect their data, manage who has access to it, who oversees it, and how to make it available to staff members for everyday usage.

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When To Use Internal vs. External Stages in Snowflake

phData: Data Engineering

Data storage is a vital aspect of any Snowflake Data Cloud database. Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. Snowflake hides user data objects and makes them accessible only through SQL queries through the compute layer.

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Data storage and processing. Data cleansing.